From 06ed99bf79eb47d85fd679f200296e0a6284ceb9 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 12:55:02 +0800 Subject: [PATCH 01/35] feat(skill): scaffold openkb/prompts/ for static system prompts --- openkb/prompts/__init__.py | 21 +++++++++++++++++++++ openkb/prompts/skill_compile.md | 1 + 2 files changed, 22 insertions(+) create mode 100644 openkb/prompts/__init__.py create mode 100644 openkb/prompts/skill_compile.md diff --git a/openkb/prompts/__init__.py b/openkb/prompts/__init__.py new file mode 100644 index 00000000..c28b2b1d --- /dev/null +++ b/openkb/prompts/__init__.py @@ -0,0 +1,21 @@ +"""Static prompt templates loaded from disk. + +Keeping multi-paragraph LLM system prompts in `.md` files (rather than triple- +quoted Python strings) makes them readable in editors with markdown previews +and easier to diff/review. +""" +from __future__ import annotations + +from pathlib import Path + +_PROMPTS_DIR = Path(__file__).parent + + +def load_prompt(name: str) -> str: + """Return the contents of ``openkb/prompts/.md`` as a string. + + Args: + name: Filename without the ``.md`` suffix (e.g. ``"skill_compile"``). + """ + path = _PROMPTS_DIR / f"{name}.md" + return path.read_text(encoding="utf-8") diff --git a/openkb/prompts/skill_compile.md b/openkb/prompts/skill_compile.md new file mode 100644 index 00000000..cd88e865 --- /dev/null +++ b/openkb/prompts/skill_compile.md @@ -0,0 +1 @@ +PLACEHOLDER — populated in Task 4. From 4f1db4709bbe30910252ffdb686fbb25ee8251f6 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 12:59:26 +0800 Subject: [PATCH 02/35] feat(skill): path-scoped IO tools for the skill compile agent --- openkb/agent/skill_tools.py | 68 ++++++++++++++++++++++++++++++++++++ tests/test_skill_tools.py | 69 +++++++++++++++++++++++++++++++++++++ 2 files changed, 137 insertions(+) create mode 100644 openkb/agent/skill_tools.py create mode 100644 tests/test_skill_tools.py diff --git a/openkb/agent/skill_tools.py b/openkb/agent/skill_tools.py new file mode 100644 index 00000000..ef24d94e --- /dev/null +++ b/openkb/agent/skill_tools.py @@ -0,0 +1,68 @@ +"""Path-scoped IO tools for the skill-compile agent. + +The skill-compile agent runs with three capabilities: + * READ from /wiki/** (the substrate) + * QUERY the wiki via openkb query (semantic retrieval, see skill_compiler.py) + * WRITE under /output/skills//** (the only output destination) + +These helpers enforce those boundaries at the Python level — every tool +resolves its target path, then verifies it stays inside the allowed root. +Path traversal (``..``) and absolute paths are rejected outright. +""" +from __future__ import annotations + +from pathlib import Path + + +def list_wiki_dir(directory: str, wiki_root: str) -> str: + """List ``.md`` files in a wiki subdirectory. + + Args: + directory: Path relative to *wiki_root* (e.g. ``"concepts"``). + wiki_root: Absolute path to ``/wiki``. + """ + root = Path(wiki_root).resolve() + target = (root / directory).resolve() + if not target.is_relative_to(root): + return "Access denied: path escapes wiki root." + if not target.exists() or not target.is_dir(): + return "No files found." + names = sorted(p.name for p in target.iterdir() if p.suffix == ".md") + return "\n".join(names) if names else "No files found." + + +def read_wiki_file_for_skill(path: str, wiki_root: str) -> str: + """Read a Markdown file from the wiki. + + Args: + path: File path relative to *wiki_root* (e.g. ``"concepts/attention.md"``). + wiki_root: Absolute path to ``/wiki``. + """ + root = Path(wiki_root).resolve() + full = (root / path).resolve() + if not full.is_relative_to(root): + return "Access denied: path escapes wiki root." + if not full.exists(): + return f"File not found: {path}" + return full.read_text(encoding="utf-8") + + +def write_skill_file(path: str, content: str, skill_root: str) -> str: + """Write a file under the skill directory. + + Args: + path: Path relative to *skill_root* (e.g. ``"SKILL.md"`` or + ``"references/methodology.md"``). Absolute paths and ``..`` + traversal are rejected. + content: File contents. + skill_root: Absolute path to ``/output/skills/``. + """ + if path.startswith("/") or ".." in Path(path).parts: + return "Access denied: only relative paths within the skill directory are allowed." + root = Path(skill_root).resolve() + full = (root / path).resolve() + if not full.is_relative_to(root): + return "Access denied: path escapes skill root." + full.parent.mkdir(parents=True, exist_ok=True) + full.write_text(content, encoding="utf-8") + return f"Written: {path}" diff --git a/tests/test_skill_tools.py b/tests/test_skill_tools.py new file mode 100644 index 00000000..3c620c97 --- /dev/null +++ b/tests/test_skill_tools.py @@ -0,0 +1,69 @@ +"""Tests for openkb.agent.skill_tools — path-scoped IO for the skill compile agent.""" +from __future__ import annotations + +import pytest + +from openkb.agent.skill_tools import ( + list_wiki_dir, + read_wiki_file_for_skill, + write_skill_file, +) + + +def _make_wiki(tmp_path): + wiki = tmp_path / "wiki" + (wiki / "concepts").mkdir(parents=True) + (wiki / "summaries").mkdir(parents=True) + (wiki / "index.md").write_text("# index\n") + (wiki / "concepts" / "attention.md").write_text("# attention\n") + return wiki + + +def test_read_wiki_file_returns_content(tmp_path): + wiki = _make_wiki(tmp_path) + out = read_wiki_file_for_skill("concepts/attention.md", str(wiki)) + assert "attention" in out + + +def test_read_wiki_file_rejects_escape(tmp_path): + wiki = _make_wiki(tmp_path) + out = read_wiki_file_for_skill("../secret.txt", str(wiki)) + assert "Access denied" in out + + +def test_list_wiki_dir_returns_filenames(tmp_path): + wiki = _make_wiki(tmp_path) + out = list_wiki_dir("concepts", str(wiki)) + assert "attention.md" in out + + +def test_list_wiki_dir_handles_missing(tmp_path): + wiki = _make_wiki(tmp_path) + out = list_wiki_dir("nonexistent", str(wiki)) + assert out == "No files found." + + +def test_write_skill_file_creates_file_and_parents(tmp_path): + skill_root = tmp_path / "output" / "skills" / "demo" + out = write_skill_file( + "references/methodology.md", + "# methodology\n", + str(skill_root), + ) + assert "Written" in out + assert (skill_root / "references" / "methodology.md").read_text() == "# methodology\n" + + +def test_write_skill_file_rejects_path_traversal(tmp_path): + skill_root = tmp_path / "output" / "skills" / "demo" + skill_root.mkdir(parents=True) + out = write_skill_file("../escaped.md", "x", str(skill_root)) + assert "Access denied" in out + assert not (skill_root.parent / "escaped.md").exists() + + +def test_write_skill_file_rejects_absolute_path(tmp_path): + skill_root = tmp_path / "output" / "skills" / "demo" + skill_root.mkdir(parents=True) + out = write_skill_file("/etc/passwd", "x", str(skill_root)) + assert "Access denied" in out From fd26e264752152259fade4b88f094ca7cdafd4b3 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:02:57 +0800 Subject: [PATCH 03/35] feat(skill): kebab-case skill name validation --- openkb/cli.py | 22 ++++++++++++++++++ tests/test_skill_name_validation.py | 35 +++++++++++++++++++++++++++++ 2 files changed, 57 insertions(+) create mode 100644 tests/test_skill_name_validation.py diff --git a/openkb/cli.py b/openkb/cli.py index 60d8551a..f5efc6e4 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -143,6 +143,28 @@ def _find_kb_dir(override: Path | None = None) -> Path | None: return None +def _validate_skill_name(name: str) -> str | None: + """Validate a skill slug. Returns None if OK, an error message if not. + + Rules: lowercase ``[a-z0-9-]``, no leading/trailing dash, no consecutive + dashes, 1-64 characters. This matches the directory name we'll create + under ``/output/skills/`` and the ``name:`` frontmatter field. + """ + if not name: + return "Skill name must not be empty." + if len(name) > 64: + return "Skill name must be at most 64 characters." + if not all(c.islower() or c.isdigit() or c == "-" for c in name): + return "Skill name must contain only lowercase letters, digits, and dashes." + if name.startswith("-"): + return "Skill name must not have a leading dash." + if name.endswith("-"): + return "Skill name must not have a trailing dash." + if "--" in name: + return "Skill name must not contain consecutive dashes." + return None + + def add_single_file(file_path: Path, kb_dir: Path) -> Literal["added", "skipped", "failed"]: """Convert, index, and compile a single document into the knowledge base. diff --git a/tests/test_skill_name_validation.py b/tests/test_skill_name_validation.py new file mode 100644 index 00000000..47e548dd --- /dev/null +++ b/tests/test_skill_name_validation.py @@ -0,0 +1,35 @@ +"""Tests for openkb.cli._validate_skill_name — kebab-case slug enforcement.""" +from __future__ import annotations + +import pytest + +from openkb.cli import _validate_skill_name + + +@pytest.mark.parametrize("name", [ + "karpathy-thinking", + "us-tax-2026", + "linalg-tutor", + "a", + "a-b-c-d-e-f-g", +]) +def test_accepts_valid_kebab_case(name): + assert _validate_skill_name(name) is None # None means OK + + +@pytest.mark.parametrize("name,reason_fragment", [ + ("", "empty"), + ("UPPER", "lowercase"), + ("has space", "lowercase"), + ("under_score", "lowercase"), + ("dots.bad", "lowercase"), + ("-leading", "leading"), + ("trailing-", "trailing"), + ("double--dash", "consecutive"), + ("../escape", "lowercase"), + ("a" * 65, "64 characters"), +]) +def test_rejects_invalid_names(name, reason_fragment): + msg = _validate_skill_name(name) + assert msg is not None + assert reason_fragment in msg.lower() From 11b52ca586b9b336c03031bb986549e80e875308 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:05:37 +0800 Subject: [PATCH 04/35] fix(skill): _validate_skill_name now enforces ASCII slug strictly MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The previous c.islower() check accepted Unicode lowercase letters like 'é' and 'ü', contradicting the [a-z0-9-] docstring promise. Names are used as filesystem directories and YAML frontmatter, so the slug must stay ASCII. Add explicit a-z / 0-9 range check + 2 regression tests. --- openkb/cli.py | 2 +- tests/test_skill_name_validation.py | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/openkb/cli.py b/openkb/cli.py index f5efc6e4..2f525818 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -154,7 +154,7 @@ def _validate_skill_name(name: str) -> str | None: return "Skill name must not be empty." if len(name) > 64: return "Skill name must be at most 64 characters." - if not all(c.islower() or c.isdigit() or c == "-" for c in name): + if not all(("a" <= c <= "z") or ("0" <= c <= "9") or c == "-" for c in name): return "Skill name must contain only lowercase letters, digits, and dashes." if name.startswith("-"): return "Skill name must not have a leading dash." diff --git a/tests/test_skill_name_validation.py b/tests/test_skill_name_validation.py index 47e548dd..ab8d776a 100644 --- a/tests/test_skill_name_validation.py +++ b/tests/test_skill_name_validation.py @@ -28,6 +28,8 @@ def test_accepts_valid_kebab_case(name): ("double--dash", "consecutive"), ("../escape", "lowercase"), ("a" * 65, "64 characters"), + ("café", "lowercase"), + ("ünicöde", "lowercase"), ]) def test_rejects_invalid_names(name, reason_fragment): msg = _validate_skill_name(name) From f007a3d4873a7d53f13f4ccde386ed45e5ec4216 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:07:06 +0800 Subject: [PATCH 05/35] feat(skill): skill-compile system prompt template --- openkb/prompts/skill_compile.md | 98 ++++++++++++++++++++++++++++++++- 1 file changed, 97 insertions(+), 1 deletion(-) diff --git a/openkb/prompts/skill_compile.md b/openkb/prompts/skill_compile.md index cd88e865..7023bf80 100644 --- a/openkb/prompts/skill_compile.md +++ b/openkb/prompts/skill_compile.md @@ -1 +1,97 @@ -PLACEHOLDER — populated in Task 4. +You are the OpenKB skill-compile agent. Your job: read the knowledge base +wiki at `/wiki/` and produce a redistributable Anthropic Skill at +`/output/skills/{skill_name}/`. Other agents — Claude Code, Codex CLI, +Gemini CLI, Cursor — will install this skill and load it on demand, so the +output must follow the Anthropic Skills directory spec exactly. + +## User intent + +The user requested this skill with the following description. Treat it as +authoritative; the whole skill exists to serve this intent. + +> {intent} + +## Wiki schema reference + +The wiki you can read from is structured as follows. + +{wiki_schema} + +## Your tools + +* `list_wiki_dir(directory)` — list files in a wiki subdirectory. +* `read_wiki_file(path)` — read a markdown file under `/wiki/`. +* `query_wiki(question)` — semantic search; returns a short answer with + citations. Use sparingly (it's an LLM call). Prefer direct file reads + when you already know which page you need. +* `write_skill_file(path, content)` — write under + `/output/skills/{skill_name}/`. Path must be relative; cannot escape + the skill root. +* `done(summary)` — signal completion. Call this exactly once when you are + finished writing files. After calling `done`, do not write any more. + +## Required output + +You MUST write `SKILL.md` at the skill root, with YAML frontmatter: + +```yaml +--- +name: {skill_name} +description: +--- + +# + + + +## When to use this skill + +- + +## Approach + + + +## References + +- [[references/]] (only if you wrote references) +``` + +The `description:` field is what other agents see. It must be specific +(not "a skill about X") and accurate. Spend extra care here. + +## Optional output + +* `references/.md` — depth material the loading agent reads on + demand. Use when content is too long for `SKILL.md` or only useful for + specific sub-questions. +* `scripts/.py` — executable helpers, ONLY if the user's intent + implies deterministic computation (e.g. a tax lookup, a formula + solver). Stick to the Python standard library; the loading environment + is unknown. + +## Working method + +1. Read `wiki/index.md` to see what's in the KB. +2. Form a brief mental plan: which concepts and summaries best serve the + user's intent? Which references will you need? +3. Read the relevant `wiki/concepts/*.md` and `wiki/summaries/*.md` files. +4. Write `SKILL.md` first. Then references, then scripts (if any). +5. Self-check: does every `[[references/...]]` link in `SKILL.md` resolve + to a file you actually wrote? Is the description specific? Is the + `name:` frontmatter field exactly `{skill_name}`? +6. Call `done(summary)` with a one-paragraph summary of what you wrote. + +## Anti-hallucination rules + +* Cite sources for non-trivial claims using `[[concepts/]]` or + `[[summaries/]]` wikilinks back to the wiki. +* If the wiki doesn't cover something the user's intent implies, write + what you can and note the gap in `SKILL.md`'s body — do not fabricate. +* Do not copy large verbatim passages from `wiki/sources/`. Summarise and + cite. The skill must be redistributable; bulk-copying source content + could carry copyright risk that the user takes on at submission time. + +Begin. From 6bbfb985fc5b34596172e70c23df3773a85fd332 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:10:08 +0800 Subject: [PATCH 06/35] feat(skill): build skill-compile agent + run loop --- openkb/agent/skill_compiler.py | 142 +++++++++++++++++++++++++++++++++ tests/test_skill_compiler.py | 84 +++++++++++++++++++ 2 files changed, 226 insertions(+) create mode 100644 openkb/agent/skill_compiler.py create mode 100644 tests/test_skill_compiler.py diff --git a/openkb/agent/skill_compiler.py b/openkb/agent/skill_compiler.py new file mode 100644 index 00000000..79b64751 --- /dev/null +++ b/openkb/agent/skill_compiler.py @@ -0,0 +1,142 @@ +"""The skill-compile agent. + +Builds on the same openai-agents-SDK + LiteLLM stack as the query agent +in ``openkb.agent.query``. The differences: + +* System prompt comes from ``openkb/prompts/skill_compile.md`` and is + interpolated with the user's intent and the target skill name. +* Tools are scoped: read the wiki, query the wiki, write only within + the target skill directory. +* The runner verifies that ``SKILL.md`` was written before declaring + success — an agent that gets confused and never writes the required + output should fail loudly rather than silently produce an empty dir. +""" +from __future__ import annotations + +import asyncio +from pathlib import Path + +from agents import Agent, Runner, function_tool +from agents.model_settings import ModelSettings + +from openkb.agent.skill_tools import ( + list_wiki_dir, + read_wiki_file_for_skill, + write_skill_file, +) +from openkb.prompts import load_prompt +from openkb.schema import get_agents_md + +MAX_TURNS = 80 # higher than query (50) because compile can write multiple files + + +def build_skill_compile_agent( + *, + wiki_root: str, + skill_root: str, + skill_name: str, + intent: str, + model: str, +) -> Agent: + """Build the openai-agents Agent for compiling one skill. + + Args: + wiki_root: ``/wiki`` absolute path. + skill_root: ``/output/skills/`` absolute path. Will be + created if it does not exist. + skill_name: kebab-case slug, also the ``name:`` frontmatter value. + intent: the user's natural-language description of what this skill + should do. + model: LiteLLM-formatted model name from KB config. + """ + Path(skill_root).mkdir(parents=True, exist_ok=True) + + wiki_schema = get_agents_md(Path(wiki_root)) + instructions = load_prompt("skill_compile").format( + intent=intent, + skill_name=skill_name, + wiki_schema=wiki_schema, + ) + + @function_tool + def list_wiki(directory: str) -> str: + """List .md files in a wiki subdirectory (e.g. 'concepts').""" + return list_wiki_dir(directory, wiki_root) + + @function_tool + def read_wiki(path: str) -> str: + """Read a wiki markdown file by path relative to wiki/ (e.g. 'concepts/attention.md').""" + return read_wiki_file_for_skill(path, wiki_root) + + @function_tool + def query_wiki(question: str) -> str: + """Run a semantic query over the wiki and return the answer. + + Use sparingly — this is itself an LLM call. Prefer reading specific + files when you already know which one you want. + """ + # Lazy import to avoid circular dependency at module import. + from openkb.agent.query import run_query + kb_dir = Path(wiki_root).parent + config_model = model + return asyncio.run(run_query(question, kb_dir, config_model, stream=False)) + + @function_tool + def write_skill(path: str, content: str) -> str: + """Write a file under the skill directory.""" + return write_skill_file(path, content, skill_root) + + @function_tool + def done(summary: str) -> str: + """Signal that the skill is complete. Call exactly once when finished.""" + return f"Compilation marked done: {summary}" + + return Agent( + name="skill-compiler", + instructions=instructions, + tools=[list_wiki, read_wiki, query_wiki, write_skill, done], + model=f"litellm/{model}", + model_settings=ModelSettings(parallel_tool_calls=False), + ) + + +async def run_skill_compile( + *, + kb_dir: Path, + skill_name: str, + intent: str, + model: str, +) -> Path: + """Compile a single skill from the KB's wiki. + + Returns the path to the produced skill directory. Raises + ``RuntimeError`` if the agent finishes without writing ``SKILL.md``. + """ + wiki_root = str(kb_dir / "wiki") + skill_root = kb_dir / "output" / "skills" / skill_name + + agent = build_skill_compile_agent( + wiki_root=wiki_root, + skill_root=str(skill_root), + skill_name=skill_name, + intent=intent, + model=model, + ) + + # Single user message kicks off the compile. The system prompt already + # contains the intent — this just nudges the agent to start. + seed = ( + f"Compile the skill '{skill_name}'. Follow the system prompt's " + f"working method. Read the wiki, then write the skill files." + ) + + await Runner.run(agent, seed, max_turns=MAX_TURNS) + + if not (skill_root / "SKILL.md").exists(): + raise RuntimeError( + f"Skill compilation finished but agent did not write SKILL.md " + f"at {skill_root}. The skill is incomplete; check the wiki has " + f"content related to your intent." + ) + + return skill_root diff --git a/tests/test_skill_compiler.py b/tests/test_skill_compiler.py new file mode 100644 index 00000000..6fd06f22 --- /dev/null +++ b/tests/test_skill_compiler.py @@ -0,0 +1,84 @@ +"""Tests for openkb.agent.skill_compiler. + +The agent itself is mocked (we don't want to spend tokens in unit tests). +What we DO test: + * Tools wire up correctly (write_skill_file is bound to the right path) + * System prompt gets the intent and skill_name interpolated + * The skill output dir is created before the agent starts + * If the agent finishes without writing SKILL.md, we surface an error +""" +from __future__ import annotations + +import pytest +from unittest.mock import AsyncMock, patch + +from openkb.agent.skill_compiler import ( + build_skill_compile_agent, + run_skill_compile, +) + + +def _make_kb(tmp_path): + (tmp_path / "wiki" / "concepts").mkdir(parents=True) + (tmp_path / "wiki" / "summaries").mkdir(parents=True) + (tmp_path / "wiki" / "index.md").write_text("# index\n\nNo concepts yet.\n") + (tmp_path / ".openkb").mkdir() + (tmp_path / ".openkb" / "config.yaml").write_text("model: gpt-4o-mini\n") + return tmp_path + + +def test_build_agent_interpolates_intent_and_name(tmp_path): + kb = _make_kb(tmp_path) + agent = build_skill_compile_agent( + wiki_root=str(kb / "wiki"), + skill_root=str(kb / "output" / "skills" / "demo"), + skill_name="demo", + intent="distill a tax-lookup skill", + model="gpt-4o-mini", + ) + assert "demo" in agent.instructions + assert "distill a tax-lookup skill" in agent.instructions + + +@pytest.mark.asyncio +async def test_run_skill_compile_creates_output_dir(tmp_path): + kb = _make_kb(tmp_path) + target = kb / "output" / "skills" / "demo" + # Fake the agent run: just write a minimal SKILL.md to simulate success. + async def fake_runner(*args, **kwargs): + target.mkdir(parents=True, exist_ok=True) + (target / "SKILL.md").write_text( + "---\nname: demo\ndescription: test\n---\n\n# demo\n" + ) + from types import SimpleNamespace + return SimpleNamespace(final_output="done") + + with patch("openkb.agent.skill_compiler.Runner.run", new=AsyncMock(side_effect=fake_runner)): + await run_skill_compile( + kb_dir=kb, + skill_name="demo", + intent="test intent", + model="gpt-4o-mini", + ) + + assert (target / "SKILL.md").exists() + + +@pytest.mark.asyncio +async def test_run_skill_compile_raises_when_no_skill_md_written(tmp_path): + kb = _make_kb(tmp_path) + target = kb / "output" / "skills" / "demo" + target.mkdir(parents=True, exist_ok=True) + # Agent runs but never writes SKILL.md. + async def fake_runner(*args, **kwargs): + from types import SimpleNamespace + return SimpleNamespace(final_output="done") + + with patch("openkb.agent.skill_compiler.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with pytest.raises(RuntimeError, match="did not write SKILL.md"): + await run_skill_compile( + kb_dir=kb, + skill_name="demo", + intent="test intent", + model="gpt-4o-mini", + ) From 9cbc5c6ca2fda06bc564bb4f3cdcd7636905d0bf Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:13:57 +0800 Subject: [PATCH 07/35] feat(skill): regenerate per-KB marketplace.json from output/skills/ --- openkb/marketplace.py | 111 ++++++++++++++++++++++++++++++++++++++ tests/test_marketplace.py | 106 ++++++++++++++++++++++++++++++++++++ 2 files changed, 217 insertions(+) create mode 100644 openkb/marketplace.py create mode 100644 tests/test_marketplace.py diff --git a/openkb/marketplace.py b/openkb/marketplace.py new file mode 100644 index 00000000..3e803c4d --- /dev/null +++ b/openkb/marketplace.py @@ -0,0 +1,111 @@ +"""Regenerate the per-KB Claude Code plugin marketplace manifest. + +After every `openkb skill new` (and after any chat-side edit to a SKILL.md +frontmatter), this module scans ``/output/skills/*/SKILL.md`` and +rewrites ``/.claude-plugin/marketplace.json`` listing all currently +compiled skills. + +The schema matches the OpenKB repo's own ``.claude-plugin/marketplace.json``: +one plugin entry per KB, with a ``skills`` array of relative paths. Other +agent CLIs (``npx skills add``, Claude Code ``/plugin marketplace add``) +install from this manifest. + +This is a deterministic step — no LLM calls. +""" +from __future__ import annotations + +import json +import re +from pathlib import Path +from typing import Any + +from openkb.config import load_config + + +_FRONTMATTER_RE = re.compile(r"^---\s*\n(.*?)\n---", re.DOTALL) +_DESCRIPTION_RE = re.compile(r"^description:\s*(.+?)\s*$", re.MULTILINE) + + +def _read_skill_description(skill_md: Path) -> str: + """Pull the ``description:`` field from a SKILL.md frontmatter block. + + Returns an empty string if missing or unparseable — the manifest still + lists the skill, just with a generic plugin-level description. + """ + if not skill_md.exists(): + return "" + text = skill_md.read_text(encoding="utf-8") + fm_match = _FRONTMATTER_RE.match(text) + if not fm_match: + return "" + desc_match = _DESCRIPTION_RE.search(fm_match.group(1)) + if not desc_match: + return "" + return desc_match.group(1).strip() + + +def _kb_name(kb_dir: Path) -> str: + """Use the KB directory name as the marketplace name (sluggable).""" + return kb_dir.name + + +def _list_skill_dirs(kb_dir: Path) -> list[Path]: + """Return skill directories under /output/skills/ that contain a SKILL.md.""" + skills_root = kb_dir / "output" / "skills" + if not skills_root.is_dir(): + return [] + return sorted( + d for d in skills_root.iterdir() + if d.is_dir() and (d / "SKILL.md").exists() + ) + + +def _build_manifest(kb_dir: Path) -> dict[str, Any]: + skills = _list_skill_dirs(kb_dir) + skill_paths = [f"./output/skills/{d.name}" for d in skills] + + # Aggregate description for the manifest metadata + name = _kb_name(kb_dir) + metadata_desc = ( + f"Skills compiled from the '{name}' knowledge base via OpenKB." + ) + if skills: + first_desc = _read_skill_description(skills[0] / "SKILL.md") + if first_desc: + metadata_desc += f" Featured: {first_desc[:200]}" + + # Pull KB config for version if available; default to 0.1.0 + config = load_config(kb_dir / ".openkb" / "config.yaml") + version = str(config.get("version", "0.1.0")) + + return { + "name": name, + "metadata": { + "description": metadata_desc, + "version": version, + }, + "plugins": [ + { + "name": name, + "description": metadata_desc, + "source": "./", + "version": version, + "skills": skill_paths, + } + ], + } + + +def regenerate_marketplace(kb_dir: Path) -> Path: + """Rewrite ``/.claude-plugin/marketplace.json`` from current skills. + + Returns the path to the manifest. Creates ``.claude-plugin/`` if needed. + Safe to call when zero skills exist (manifest lists an empty ``skills`` + array). + """ + manifest = _build_manifest(kb_dir) + out_dir = kb_dir / ".claude-plugin" + out_dir.mkdir(parents=True, exist_ok=True) + out_path = out_dir / "marketplace.json" + out_path.write_text(json.dumps(manifest, indent=2) + "\n", encoding="utf-8") + return out_path diff --git a/tests/test_marketplace.py b/tests/test_marketplace.py new file mode 100644 index 00000000..3a7df48d --- /dev/null +++ b/tests/test_marketplace.py @@ -0,0 +1,106 @@ +"""Tests for openkb.marketplace — regenerate /.claude-plugin/marketplace.json +from /output/skills/*/SKILL.md.""" +from __future__ import annotations + +import json +import textwrap + +from openkb.marketplace import regenerate_marketplace + + +def _make_kb(tmp_path): + (tmp_path / ".openkb").mkdir() + (tmp_path / ".openkb" / "config.yaml").write_text("model: gpt-4o-mini\n") + (tmp_path / "output" / "skills").mkdir(parents=True) + return tmp_path + + +def _make_skill(kb, name, description): + d = kb / "output" / "skills" / name + d.mkdir(parents=True, exist_ok=True) + (d / "SKILL.md").write_text(textwrap.dedent(f"""\ + --- + name: {name} + description: {description} + --- + + # {name} + """)) + + +def test_regenerate_creates_manifest_with_one_skill(tmp_path): + kb = _make_kb(tmp_path) + _make_skill(kb, "karpathy-thinking", "Reason like Karpathy on transformers.") + + regenerate_marketplace(kb) + + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + assert manifest["plugins"][0]["skills"] == ["./output/skills/karpathy-thinking"] + # The plugin's description carries the SKILL.md description for the latest entry, + # OR we use a fixed manifest-level description — implementation choice; we just + # check the SKILL.md description appears somewhere in the manifest JSON. + assert "Reason like Karpathy" in json.dumps(manifest) + + +def test_regenerate_lists_multiple_skills_alphabetical(tmp_path): + kb = _make_kb(tmp_path) + _make_skill(kb, "zeta-skill", "z") + _make_skill(kb, "alpha-skill", "a") + _make_skill(kb, "middle-skill", "m") + + regenerate_marketplace(kb) + + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + assert manifest["plugins"][0]["skills"] == [ + "./output/skills/alpha-skill", + "./output/skills/middle-skill", + "./output/skills/zeta-skill", + ] + + +def test_regenerate_replaces_existing_file(tmp_path): + kb = _make_kb(tmp_path) + (kb / ".claude-plugin").mkdir() + (kb / ".claude-plugin" / "marketplace.json").write_text('{"name": "stale"}') + + _make_skill(kb, "demo", "d") + regenerate_marketplace(kb) + + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + assert manifest["name"] != "stale" + assert manifest["plugins"][0]["skills"] == ["./output/skills/demo"] + + +def test_regenerate_handles_zero_skills(tmp_path): + kb = _make_kb(tmp_path) + regenerate_marketplace(kb) + + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + assert manifest["plugins"][0]["skills"] == [] + + +def test_regenerate_skips_skill_with_missing_skill_md(tmp_path): + kb = _make_kb(tmp_path) + # Folder exists but no SKILL.md — should not appear in manifest + (kb / "output" / "skills" / "broken").mkdir(parents=True) + _make_skill(kb, "good", "g") + + regenerate_marketplace(kb) + + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + assert manifest["plugins"][0]["skills"] == ["./output/skills/good"] + + +def test_regenerate_reads_description_from_frontmatter(tmp_path): + kb = _make_kb(tmp_path) + _make_skill(kb, "demo", "the specific description goes here") + regenerate_marketplace(kb) + + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + # Manifest's metadata.description should at minimum mention the KB context; + # the per-skill description lives in the SKILL.md itself (the manifest just + # points at the skill directories). + assert "marketplace.json" in str(kb / ".claude-plugin" / "marketplace.json") + # Reload SKILL.md to confirm description preserved + skill_md = (kb / "output" / "skills" / "demo" / "SKILL.md").read_text() + assert "the specific description goes here" in skill_md From e12dfd2bfc2d5a1659fb8afcb3918b05688e3df3 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:17:43 +0800 Subject: [PATCH 08/35] fix(skill): include owner/author in marketplace.json from git config The plan-verbatim implementation omitted the 'owner' field at the top level. Some marketplace consumers (Claude Code's /plugin marketplace add) expect 'owner' for listing/attribution. Derive from git config; fall back to 'openkb-user' if git isn't configured. Mirror as plugin-level 'author' to match the existing repo convention. --- openkb/marketplace.py | 38 ++++++++++++++++++++++++++--- tests/test_marketplace.py | 51 +++++++++++++++++++++++++++++++++++++++ 2 files changed, 85 insertions(+), 4 deletions(-) diff --git a/openkb/marketplace.py b/openkb/marketplace.py index 3e803c4d..48887afe 100644 --- a/openkb/marketplace.py +++ b/openkb/marketplace.py @@ -5,10 +5,11 @@ rewrites ``/.claude-plugin/marketplace.json`` listing all currently compiled skills. -The schema matches the OpenKB repo's own ``.claude-plugin/marketplace.json``: -one plugin entry per KB, with a ``skills`` array of relative paths. Other -agent CLIs (``npx skills add``, Claude Code ``/plugin marketplace add``) -install from this manifest. +The schema is a subset compatible with the OpenKB repo's own +``.claude-plugin/marketplace.json``: one plugin entry per KB, with a +``skills`` array of relative paths. ``owner`` is derived from git config +so Claude Code's ``/plugin marketplace add`` accepts the manifest. Other +agent CLIs (``npx skills add``) install from the same file. This is a deterministic step — no LLM calls. """ @@ -26,6 +27,32 @@ _DESCRIPTION_RE = re.compile(r"^description:\s*(.+?)\s*$", re.MULTILINE) +def _git_owner() -> dict[str, str]: + """Read user.name and user.email from git config for the manifest owner. + + Falls back to placeholders if git isn't configured — the manifest is + still valid, just less helpful for marketplace listings. + """ + import subprocess + + def _git(key: str) -> str: + try: + result = subprocess.run( + ["git", "config", "--get", key], + capture_output=True, text=True, timeout=2, + ) + return result.stdout.strip() + except (subprocess.SubprocessError, FileNotFoundError): + return "" + + name = _git("user.name") or "openkb-user" + email = _git("user.email") or "" + owner: dict[str, str] = {"name": name} + if email: + owner["email"] = email + return owner + + def _read_skill_description(skill_md: Path) -> str: """Pull the ``description:`` field from a SKILL.md frontmatter block. @@ -78,8 +105,10 @@ def _build_manifest(kb_dir: Path) -> dict[str, Any]: config = load_config(kb_dir / ".openkb" / "config.yaml") version = str(config.get("version", "0.1.0")) + owner = _git_owner() return { "name": name, + "owner": owner, "metadata": { "description": metadata_desc, "version": version, @@ -90,6 +119,7 @@ def _build_manifest(kb_dir: Path) -> dict[str, Any]: "description": metadata_desc, "source": "./", "version": version, + "author": owner, "skills": skill_paths, } ], diff --git a/tests/test_marketplace.py b/tests/test_marketplace.py index 3a7df48d..62c94f6c 100644 --- a/tests/test_marketplace.py +++ b/tests/test_marketplace.py @@ -104,3 +104,54 @@ def test_regenerate_reads_description_from_frontmatter(tmp_path): # Reload SKILL.md to confirm description preserved skill_md = (kb / "output" / "skills" / "demo" / "SKILL.md").read_text() assert "the specific description goes here" in skill_md + + +def test_regenerate_includes_owner_from_git_config(tmp_path, monkeypatch): + """The manifest must include an ``owner`` field at the top level so + that Claude Code's /plugin marketplace add accepts it.""" + kb = _make_kb(tmp_path) + _make_skill(kb, "demo", "d") + + # Patch subprocess.run to return a controlled git output + import subprocess + real_run = subprocess.run + + def fake_run(cmd, **kwargs): + if cmd[:3] == ["git", "config", "--get"]: + key = cmd[3] + if key == "user.name": + return subprocess.CompletedProcess(cmd, 0, stdout="Test User\n", stderr="") + if key == "user.email": + return subprocess.CompletedProcess(cmd, 0, stdout="test@example.com\n", stderr="") + return real_run(cmd, **kwargs) + + monkeypatch.setattr(subprocess, "run", fake_run) + + regenerate_marketplace(kb) + + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + assert manifest["owner"] == {"name": "Test User", "email": "test@example.com"} + assert manifest["plugins"][0]["author"] == {"name": "Test User", "email": "test@example.com"} + + +def test_regenerate_falls_back_when_no_git_config(tmp_path, monkeypatch): + """If git config is empty, manifest still generates with a placeholder.""" + kb = _make_kb(tmp_path) + _make_skill(kb, "demo", "d") + + import subprocess + real_run = subprocess.run + + def fake_run(cmd, **kwargs): + if cmd[:3] == ["git", "config", "--get"]: + return subprocess.CompletedProcess(cmd, 1, stdout="", stderr="") + return real_run(cmd, **kwargs) + + monkeypatch.setattr(subprocess, "run", fake_run) + + regenerate_marketplace(kb) + + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + assert manifest["owner"]["name"] == "openkb-user" + # email is optional when missing + assert "email" not in manifest["owner"] or manifest["owner"]["email"] == "" From 0fdf0c4ae6d5753030bdbe7e4aac95d01891b8df Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:19:03 +0800 Subject: [PATCH 09/35] feat(skill): Generator primitive for output/* artifacts --- openkb/generator.py | 66 +++++++++++++++++++++++++++++++++++++++++ tests/test_generator.py | 60 +++++++++++++++++++++++++++++++++++++ 2 files changed, 126 insertions(+) create mode 100644 openkb/generator.py create mode 100644 tests/test_generator.py diff --git a/openkb/generator.py b/openkb/generator.py new file mode 100644 index 00000000..f24b4b73 --- /dev/null +++ b/openkb/generator.py @@ -0,0 +1,66 @@ +"""Generator primitive — shared abstraction for all `/output//` artifacts. + +v0.1 supports ``target_type="skill"`` only. Future targets (``"ppt"``, +``"podcast"``, ``"report"``, ``"video"``) will register here and reuse the +same: + +* output-path convention: ``/output///`` +* post-run hook: marketplace.json regeneration (so artifacts ride the same + distribution mechanic as skills) + +Each target plugs in its own `run` coroutine. v0.1's only entry calls into +``openkb.agent.skill_compiler.run_skill_compile``. +""" +from __future__ import annotations + +from pathlib import Path +from typing import Literal + +from openkb.agent.skill_compiler import run_skill_compile +from openkb.marketplace import regenerate_marketplace + + +TargetType = Literal["skill"] # extend as new targets land + + +class Generator: + """A v0.1 generator instance. + + Args: + target_type: One of the supported targets. v0.1: ``"skill"``. + name: kebab-case slug; becomes the output directory name. + intent: natural-language description of the desired artifact. + kb_dir: KB root. + model: LiteLLM model name (from KB config). + """ + + def __init__( + self, + *, + target_type: TargetType, + name: str, + intent: str, + kb_dir: Path, + model: str, + ) -> None: + if target_type != "skill": + raise ValueError( + f"Unknown target_type {target_type!r}. v0.1 supports only 'skill'." + ) + self.target_type = target_type + self.name = name + self.intent = intent + self.kb_dir = kb_dir + self.model = model + self.output_dir = kb_dir / "output" / f"{target_type}s" / name + + async def run(self) -> Path: + """Execute the generator. Returns the path to the produced artifact.""" + await run_skill_compile( + kb_dir=self.kb_dir, + skill_name=self.name, + intent=self.intent, + model=self.model, + ) + regenerate_marketplace(self.kb_dir) + return self.output_dir diff --git a/tests/test_generator.py b/tests/test_generator.py new file mode 100644 index 00000000..b2e7d0de --- /dev/null +++ b/tests/test_generator.py @@ -0,0 +1,60 @@ +"""Tests for openkb.generator.Generator — the v0.1 abstraction that will +be reused by future ppt / podcast generators. + +In v0.1, only target_type='skill' is supported. We test the dispatch shape +so future targets slot in cleanly.""" +from __future__ import annotations + +import pytest +from unittest.mock import AsyncMock, patch + +from openkb.generator import Generator + + +def _make_kb(tmp_path): + (tmp_path / ".openkb").mkdir() + (tmp_path / ".openkb" / "config.yaml").write_text("model: gpt-4o-mini\n") + (tmp_path / "wiki").mkdir() + (tmp_path / "wiki" / "index.md").write_text("# index\n") + return tmp_path + + +def test_generator_rejects_unknown_target_type(tmp_path): + kb = _make_kb(tmp_path) + with pytest.raises(ValueError, match="target_type"): + Generator( + target_type="ppt", + name="demo", + intent="x", + kb_dir=kb, + model="gpt-4o-mini", + ) + + +def test_generator_skill_target_constructs_ok(tmp_path): + kb = _make_kb(tmp_path) + g = Generator( + target_type="skill", + name="demo", + intent="x", + kb_dir=kb, + model="gpt-4o-mini", + ) + assert g.output_dir == kb / "output" / "skills" / "demo" + + +@pytest.mark.asyncio +async def test_generator_run_delegates_to_skill_compiler(tmp_path): + kb = _make_kb(tmp_path) + g = Generator( + target_type="skill", + name="demo", + intent="x", + kb_dir=kb, + model="gpt-4o-mini", + ) + with patch("openkb.generator.run_skill_compile", new=AsyncMock()) as runner, \ + patch("openkb.generator.regenerate_marketplace") as regen: + await g.run() + runner.assert_awaited_once() + regen.assert_called_once_with(kb) From 3c55703551ccacb627982e6f8d4a13237d101ab6 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:22:55 +0800 Subject: [PATCH 10/35] feat(skill): openkb skill new CLI command --- openkb/cli.py | 111 ++++++++++++++++++++++++++++++++++++++++ tests/test_skill_cli.py | 111 ++++++++++++++++++++++++++++++++++++++++ 2 files changed, 222 insertions(+) create mode 100644 tests/test_skill_cli.py diff --git a/openkb/cli.py b/openkb/cli.py index 2f525818..9d7d950c 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -1362,3 +1362,114 @@ def feedback(ctx, message, feedback_type): " (no browser available — copy the URL above to file the issue)", err=True, ) + + +# --------------------------------------------------------------------------- +# `openkb skill ...` — skill factory (v0.1) +# --------------------------------------------------------------------------- + +@cli.group() +def skill(): + """Compile knowledge into a redistributable Anthropic Skill.""" + + +@skill.command("new") +@click.argument("name") +@click.argument("intent") +@click.option( + "-y", "--yes", "yes_flag", + is_flag=True, default=False, + help="Overwrite existing output/skills// without prompting.", +) +@click.pass_context +def skill_new(ctx, name, intent, yes_flag): + """Compile a new skill from this KB's wiki. + + NAME is a kebab-case slug used for the output directory and skill name. + INTENT is a natural-language description of what this skill should do. + + Example: + + openkb skill new karpathy-thinking "Reason about transformers like Karpathy" + """ + import asyncio + import shutil + import sys + + kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) + if kb_dir is None: + click.echo("No knowledge base found. Run `openkb init` first.", err=True) + ctx.exit(1) + + # Validate name + err = _validate_skill_name(name) + if err: + click.echo(f"[ERROR] {err}", err=True) + ctx.exit(2) + + # Validate wiki exists and has content + wiki = kb_dir / "wiki" + if not wiki.is_dir(): + click.echo( + "[ERROR] No wiki found in this KB. Run `openkb add ` " + "to ingest documents first.", + err=True, + ) + ctx.exit(1) + has_content = any(wiki.iterdir()) + if not has_content: + click.echo( + "[ERROR] Wiki has no compiled content yet. Ingest at least one " + "document with `openkb add` first.", + err=True, + ) + ctx.exit(1) + + # Overwrite handling + target = kb_dir / "output" / "skills" / name + if target.exists(): + if yes_flag: + shutil.rmtree(target) + elif sys.stdin.isatty(): + if not click.confirm( + f"output/skills/{name}/ already exists. Overwrite?", + default=False, + ): + click.echo("Aborted.") + ctx.exit(1) + shutil.rmtree(target) + else: + click.echo( + f"[ERROR] output/skills/{name}/ exists. Pass -y to overwrite " + f"in non-interactive contexts.", + err=True, + ) + ctx.exit(1) + + # Load config + key + _setup_llm_key(kb_dir) + config = load_config(kb_dir / ".openkb" / "config.yaml") + model = config.get("model", DEFAULT_CONFIG["model"]) + + # Run the generator + from openkb.generator import Generator + click.echo(f"Compiling skill '{name}'...") + try: + gen = Generator( + target_type="skill", + name=name, + intent=intent, + kb_dir=kb_dir, + model=model, + ) + asyncio.run(gen.run()) + except RuntimeError as exc: + click.echo(f"[ERROR] {exc}", err=True) + ctx.exit(1) + + click.echo(f"\nSaved: output/skills/{name}/") + click.echo(f"Manifest: .claude-plugin/marketplace.json updated") + click.echo(f"\nInstall locally:") + click.echo(f" cp -r output/skills/{name} ~/.claude/skills/") + click.echo(f"\nShare (push KB to GitHub, then):") + click.echo(f" npx skills@latest add /") diff --git a/tests/test_skill_cli.py b/tests/test_skill_cli.py new file mode 100644 index 00000000..c1ef6a30 --- /dev/null +++ b/tests/test_skill_cli.py @@ -0,0 +1,111 @@ +"""End-to-end tests for `openkb skill new` via click.testing.CliRunner. + +The agent runner is patched so these tests don't burn LLM tokens. They +verify the CLI wiring: KB detection, name validation, overwrite logic, +marketplace.json regeneration, exit codes.""" +from __future__ import annotations + +import json +from unittest.mock import AsyncMock, patch + +import pytest +from click.testing import CliRunner + +from openkb.cli import cli + + +def _make_kb(tmp_path): + (tmp_path / ".openkb").mkdir() + (tmp_path / ".openkb" / "config.yaml").write_text("model: gpt-4o-mini\n") + (tmp_path / "wiki" / "concepts").mkdir(parents=True) + (tmp_path / "wiki" / "summaries").mkdir(parents=True) + (tmp_path / "wiki" / "index.md").write_text("# index\n") + return tmp_path + + +def _fake_compile(kb_dir, skill_name, **_kw): + """Side-effect for the patched run_skill_compile: write a minimal SKILL.md.""" + target = kb_dir / "output" / "skills" / skill_name + target.mkdir(parents=True, exist_ok=True) + (target / "SKILL.md").write_text( + f"---\nname: {skill_name}\ndescription: test description\n---\n\n# {skill_name}\n" + ) + + +def test_skill_new_succeeds_and_writes_files(tmp_path): + kb = _make_kb(tmp_path) + runner = CliRunner() + + async def fake_run(kb_dir, skill_name, intent, model): + _fake_compile(kb_dir, skill_name) + + with patch("openkb.cli._find_kb_dir", return_value=kb), \ + patch("openkb.generator.run_skill_compile", new=AsyncMock(side_effect=fake_run)): + result = runner.invoke(cli, ["skill", "new", "demo", "test intent"]) + + assert result.exit_code == 0, result.output + assert (kb / "output" / "skills" / "demo" / "SKILL.md").exists() + assert (kb / ".claude-plugin" / "marketplace.json").exists() + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + assert manifest["plugins"][0]["skills"] == ["./output/skills/demo"] + + +def test_skill_new_rejects_invalid_name(tmp_path): + kb = _make_kb(tmp_path) + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + result = runner.invoke(cli, ["skill", "new", "BadName", "x"]) + assert result.exit_code != 0 + assert "lowercase" in result.output.lower() + + +def test_skill_new_errors_without_kb(tmp_path): + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=None): + result = runner.invoke(cli, ["skill", "new", "demo", "x"]) + assert result.exit_code != 0 + assert "No knowledge base" in result.output + + +def test_skill_new_errors_with_empty_wiki(tmp_path): + kb = tmp_path + (kb / ".openkb").mkdir() + (kb / ".openkb" / "config.yaml").write_text("model: gpt-4o-mini\n") + # No wiki/ directory + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + result = runner.invoke(cli, ["skill", "new", "demo", "x"]) + assert result.exit_code != 0 + assert "wiki" in result.output.lower() + + +def test_skill_new_aborts_when_target_exists_without_yes(tmp_path): + kb = _make_kb(tmp_path) + (kb / "output" / "skills" / "demo").mkdir(parents=True) + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + # Simulate non-interactive abort (CliRunner doesn't supply a TTY, + # which our error path treats as "must pass -y"). + result = runner.invoke(cli, ["skill", "new", "demo", "x"], input="n\n") + assert result.exit_code != 0 + # Either it asked and we said no, or it detected non-TTY and errored out. + out = result.output.lower() + assert "exists" in out or "overwrite" in out or "aborted" in out + + +def test_skill_new_overwrites_with_yes_flag(tmp_path): + kb = _make_kb(tmp_path) + (kb / "output" / "skills" / "demo").mkdir(parents=True) + (kb / "output" / "skills" / "demo" / "stale.txt").write_text("old") + runner = CliRunner() + + async def fake_run(kb_dir, skill_name, intent, model): + _fake_compile(kb_dir, skill_name) + + with patch("openkb.cli._find_kb_dir", return_value=kb), \ + patch("openkb.generator.run_skill_compile", new=AsyncMock(side_effect=fake_run)): + result = runner.invoke(cli, ["skill", "new", "demo", "x", "-y"]) + + assert result.exit_code == 0, result.output + assert not (kb / "output" / "skills" / "demo" / "stale.txt").exists() + assert (kb / "output" / "skills" / "demo" / "SKILL.md").exists() From e54fe8dd04d8352211a115d4eec9b0d9b057857d Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:26:22 +0800 Subject: [PATCH 11/35] fix(skill): restore strict wiki-content check in skill new The plan called for verifying that wiki/concepts/ or wiki/summaries/ has actual files before allowing skill compilation. Earlier impl loosened this to 'any file in wiki/', which silently accepted freshly-init'd KBs (openkb init pre-creates empty concepts/ + summaries/ dirs). Restore the strict check + populate test fixture + add regression test for the freshly-init'd case. --- openkb/cli.py | 5 ++++- tests/test_skill_cli.py | 21 +++++++++++++++++++++ 2 files changed, 25 insertions(+), 1 deletion(-) diff --git a/openkb/cli.py b/openkb/cli.py index 9d7d950c..b96894ba 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -1416,7 +1416,10 @@ def skill_new(ctx, name, intent, yes_flag): err=True, ) ctx.exit(1) - has_content = any(wiki.iterdir()) + has_content = any( + (wiki / sub).is_dir() and any((wiki / sub).iterdir()) + for sub in ("concepts", "summaries") + ) if not has_content: click.echo( "[ERROR] Wiki has no compiled content yet. Ingest at least one " diff --git a/tests/test_skill_cli.py b/tests/test_skill_cli.py index c1ef6a30..297f9e1d 100644 --- a/tests/test_skill_cli.py +++ b/tests/test_skill_cli.py @@ -20,6 +20,9 @@ def _make_kb(tmp_path): (tmp_path / "wiki" / "concepts").mkdir(parents=True) (tmp_path / "wiki" / "summaries").mkdir(parents=True) (tmp_path / "wiki" / "index.md").write_text("# index\n") + # Populate the wiki with compiled content so the wiki-content gate accepts it. + (tmp_path / "wiki" / "concepts" / "demo.md").write_text("# demo\n") + (tmp_path / "wiki" / "summaries" / "demo.md").write_text("# demo\n") return tmp_path @@ -79,6 +82,24 @@ def test_skill_new_errors_with_empty_wiki(tmp_path): assert "wiki" in result.output.lower() +def test_skill_new_errors_with_freshly_init_wiki(tmp_path): + """A freshly init'd KB has wiki/ + empty concepts/ + summaries/ + index.md. + No documents have been ingested. The skill factory must refuse to compile + rather than spend tokens on an empty wiki.""" + kb = tmp_path + (kb / ".openkb").mkdir() + (kb / ".openkb" / "config.yaml").write_text("model: gpt-4o-mini\n") + # Mirror openkb init's layout: empty concepts + summaries, just index.md + (kb / "wiki" / "concepts").mkdir(parents=True) + (kb / "wiki" / "summaries").mkdir(parents=True) + (kb / "wiki" / "index.md").write_text("# index\n") + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + result = runner.invoke(cli, ["skill", "new", "demo", "x"]) + assert result.exit_code != 0 + assert "compiled content" in result.output.lower() or "ingest" in result.output.lower() + + def test_skill_new_aborts_when_target_exists_without_yes(tmp_path): kb = _make_kb(tmp_path) (kb / "output" / "skills" / "demo").mkdir(parents=True) From 44459a1c6785e13f34c84de5722392951f63a17e Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:30:21 +0800 Subject: [PATCH 12/35] feat(skill): /skill new slash command + chat write tool extension --- openkb/agent/chat.py | 66 +++++++++++++++++++++++++++++++--- openkb/agent/query.py | 44 ++++++++++++++++++++++- openkb/agent/tools.py | 40 +++++++++++++++++++++ tests/test_skill_chat_slash.py | 64 +++++++++++++++++++++++++++++++++ 4 files changed, 209 insertions(+), 5 deletions(-) create mode 100644 tests/test_skill_chat_slash.py diff --git a/openkb/agent/chat.py b/openkb/agent/chat.py index 57802ce4..04ffe4f7 100644 --- a/openkb/agent/chat.py +++ b/openkb/agent/chat.py @@ -23,7 +23,7 @@ from prompt_toolkit.styles import Style from openkb.agent.chat_session import ChatSession -from openkb.agent.query import MAX_TURNS, build_query_agent +from openkb.agent.query import MAX_TURNS, build_chat_agent, build_query_agent from openkb.log import append_log @@ -59,6 +59,7 @@ " /list List all documents in the knowledge base\n" " /lint Lint the knowledge base\n" " /add Add a document or directory to the knowledge base\n" + ' /skill new "" Compile a skill from the wiki\n' " /help Show this" ) @@ -214,6 +215,7 @@ def _bottom_toolbar(session: ChatSession) -> FormattedText: ("/list", "List all documents"), ("/lint", "Lint the knowledge base"), ("/add", "Add a document or directory"), + ("/skill", "compile a skill (try `/skill new \"intent\"`)"), ] @@ -494,6 +496,59 @@ async def _run_add(arg: str, kb_dir: Path, style: Style) -> None: await asyncio.to_thread(add_single_file, target, kb_dir) +async def _handle_slash_skill(arg: str, kb_dir: Path, style: Style) -> None: + """Dispatch ``/skill new ""`` and any future skill subcommands.""" + import shlex + + parts = shlex.split(arg) if arg else [] + if not parts: + _fmt(style, ("class:error", "Usage: /skill new \"\"\n")) + return + + sub = parts[0].lower() + if sub != "new": + _fmt(style, ("class:error", f"Unknown skill subcommand: {sub}. Try /skill new.\n")) + return + + if len(parts) < 3: + _fmt(style, ("class:error", "Usage: /skill new \"\"\n")) + return + + name = parts[1] + intent = " ".join(parts[2:]) + + from openkb.cli import _validate_skill_name + err = _validate_skill_name(name) + if err: + _fmt(style, ("class:error", f"[ERROR] {err}\n")) + return + + # Load model from KB config + from openkb.config import load_config, DEFAULT_CONFIG + config = load_config(kb_dir / ".openkb" / "config.yaml") + model = config.get("model", DEFAULT_CONFIG["model"]) + + from openkb.generator import Generator + _fmt(style, ("class:slash.help", f"Compiling skill '{name}'...\n")) + try: + gen = Generator( + target_type="skill", + name=name, + intent=intent, + kb_dir=kb_dir, + model=model, + ) + await gen.run() + except RuntimeError as exc: + _fmt(style, ("class:error", f"[ERROR] {exc}\n")) + return + + _fmt(style, ("class:slash.ok", f"Saved: output/skills/{name}/\n")) + _fmt(style, ("class:slash.help", + f"Iterate: ask follow-up questions in this chat and the agent can " + f"edit files under output/skills/{name}/ directly.\n")) + + async def _handle_slash( cmd: str, kb_dir: Path, @@ -557,6 +612,10 @@ async def _handle_slash( await _run_add(arg, kb_dir, style) return None + if head == "/skill": + await _handle_slash_skill(arg, kb_dir, style) + return None + _fmt( style, ("class:error", f"Unknown command: {head}. Try /help.\n"), @@ -579,8 +638,7 @@ async def run_chat( config = load_config(kb_dir / ".openkb" / "config.yaml") language = session.language or config.get("language", "en") - wiki_root = str(kb_dir / "wiki") - agent = build_query_agent(wiki_root, session.model, language=language) + agent = build_chat_agent(kb_dir, session.model, language=language) _print_header(session, kb_dir, style) if session.turn_count > 0: @@ -620,7 +678,7 @@ async def run_chat( return if action == "new_session": session = ChatSession.new(kb_dir, session.model, session.language) - agent = build_query_agent(wiki_root, session.model, language=language) + agent = build_chat_agent(kb_dir, session.model, language=language) prompt_session = _make_prompt_session(session, style, use_color, kb_dir) continue diff --git a/openkb/agent/query.py b/openkb/agent/query.py index af3abfe4..790a186c 100644 --- a/openkb/agent/query.py +++ b/openkb/agent/query.py @@ -6,7 +6,12 @@ from agents import Agent, Runner, function_tool from agents import ToolOutputImage, ToolOutputText -from openkb.agent.tools import get_wiki_page_content, read_wiki_file, read_wiki_image +from openkb.agent.tools import ( + get_wiki_page_content, + read_wiki_file, + read_wiki_image, + write_kb_file, +) MAX_TURNS = 50 from openkb.schema import get_agents_md @@ -91,6 +96,43 @@ def get_image(image_path: str) -> ToolOutputImage | ToolOutputText: ) +def build_chat_agent( + kb_dir: Path, + model: str, + language: str = "en", +) -> Agent: + """Build the chat agent: query agent + a write tool restricted to + ``/wiki/explorations/**`` and ``/output/**``. + + This is the variant used by the interactive ``openkb chat`` REPL so users + can iterate on generated artifacts (e.g. ``output/skills//``) via + natural-language follow-ups without giving the agent unrestricted write + access to the wiki. + """ + wiki_root = str(kb_dir / "wiki") + kb_root = str(kb_dir) + base = build_query_agent(wiki_root, model, language=language) + + @function_tool + def write_file(path: str, content: str) -> str: + """Write a text file under the KB. + + Allowed paths (relative to KB root): + * ``wiki/explorations/**`` — chat-derived notes. + * ``output/**`` — generator artifacts (skills, etc.). + + Any other path is rejected. Parent directories are created. + + Args: + path: File path relative to KB root + (e.g. ``"output/skills/demo/SKILL.md"``). + content: Full text content to write (overwrites if file exists). + """ + return write_kb_file(path, content, kb_root) + + return base.clone(tools=[*base.tools, write_file]) + + async def run_query( question: str, kb_dir: Path, diff --git a/openkb/agent/tools.py b/openkb/agent/tools.py index 8071e821..57f105df 100644 --- a/openkb/agent/tools.py +++ b/openkb/agent/tools.py @@ -167,6 +167,46 @@ def read_wiki_image(path: str, wiki_root: str) -> dict: return {"type": "image", "image_url": f"data:{mime};base64,{b64}"} +def write_kb_file(path: str, content: str, kb_root: str) -> str: + """Write a text file under the KB, restricted to safe write zones. + + Allowed prefixes (relative to *kb_root*): + * ``wiki/explorations/**`` — user-saved chat transcripts and notes. + * ``output/**`` — generator artifacts (skills, etc.) the + user iterates on via natural-language chat follow-ups. + + Parent directories are created automatically. Any path outside the + allow-list is rejected. + + Args: + path: File path relative to *kb_root*. + content: Text content to write. + kb_root: Absolute path to the KB root directory. + + Returns: + ``"Written: {path}"`` on success, or an access-denied message. + """ + root = Path(kb_root).resolve() + full_path = (root / path).resolve() + if not full_path.is_relative_to(root): + return "Access denied: path escapes KB root." + rel = full_path.relative_to(root) + parts = rel.parts + allowed = ( + len(parts) >= 2 and parts[0] == "wiki" and parts[1] == "explorations" + ) or ( + len(parts) >= 1 and parts[0] == "output" + ) + if not allowed: + return ( + "Access denied: writes are only allowed under " + "wiki/explorations/** or output/**." + ) + full_path.parent.mkdir(parents=True, exist_ok=True) + full_path.write_text(content, encoding="utf-8") + return f"Written: {path}" + + def write_wiki_file(path: str, content: str, wiki_root: str) -> str: """Write or overwrite a Markdown file in the wiki. diff --git a/tests/test_skill_chat_slash.py b/tests/test_skill_chat_slash.py new file mode 100644 index 00000000..f1eb6dc4 --- /dev/null +++ b/tests/test_skill_chat_slash.py @@ -0,0 +1,64 @@ +"""Tests for the /skill new slash command inside openkb chat.""" +from __future__ import annotations + +import pytest +from unittest.mock import AsyncMock, patch + +from prompt_toolkit.styles import Style + +from openkb.agent.chat import _handle_slash +from openkb.agent.chat_session import ChatSession + + +def _make_kb(tmp_path): + (tmp_path / ".openkb").mkdir() + (tmp_path / ".openkb" / "config.yaml").write_text("model: gpt-4o-mini\n") + (tmp_path / ".openkb" / "chats").mkdir() + (tmp_path / "wiki" / "concepts").mkdir(parents=True) + (tmp_path / "wiki" / "summaries").mkdir(parents=True) + (tmp_path / "wiki" / "index.md").write_text("# index\n") + return tmp_path + + +@pytest.mark.asyncio +async def test_slash_skill_new_calls_generator(tmp_path): + kb = _make_kb(tmp_path) + session = ChatSession.new(kb, "gpt-4o-mini", "en") + style = Style.from_dict({}) + + async def fake_run(kb_dir, skill_name, intent, model): + target = kb_dir / "output" / "skills" / skill_name + target.mkdir(parents=True, exist_ok=True) + (target / "SKILL.md").write_text( + f"---\nname: {skill_name}\ndescription: t\n---\n\n# {skill_name}\n" + ) + + with patch("openkb.generator.run_skill_compile", new=AsyncMock(side_effect=fake_run)): + action = await _handle_slash( + '/skill new demo "test intent"', kb, session, style + ) + + assert action is None # continues chat session + assert (kb / "output" / "skills" / "demo" / "SKILL.md").exists() + assert (kb / ".claude-plugin" / "marketplace.json").exists() + + +@pytest.mark.asyncio +async def test_slash_skill_new_reports_usage_when_args_missing(tmp_path): + kb = _make_kb(tmp_path) + session = ChatSession.new(kb, "gpt-4o-mini", "en") + style = Style.from_dict({}) + + action = await _handle_slash('/skill new', kb, session, style) + assert action is None + # No skill written + assert not (kb / "output").exists() + + +@pytest.mark.asyncio +async def test_slash_skill_unknown_subcommand(tmp_path): + kb = _make_kb(tmp_path) + session = ChatSession.new(kb, "gpt-4o-mini", "en") + style = Style.from_dict({}) + action = await _handle_slash('/skill list', kb, session, style) + assert action is None From 4e99089bd8346cdec8656767924cc7f6b1a61b97 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:35:52 +0800 Subject: [PATCH 13/35] fix(skill): harden /skill new slash + write_kb_file edge cases - /skill new: catch shlex.split ValueError on unclosed quotes so a typo doesn't crash the chat REPL - write_kb_file: reject bare directory paths (e.g. 'output') that would otherwise raise IsADirectoryError on write_text - chat.py: drop stale build_query_agent import (chat now uses build_chat_agent) - test_chat_slash_commands.py: update patch target from build_query_agent -> build_chat_agent so the test exercises the right symbol - Add tests/test_write_kb_file.py covering allow-list, traversal, bare-directory rejection --- openkb/agent/chat.py | 8 +++- openkb/agent/tools.py | 13 +++-- tests/test_chat_slash_commands.py | 2 +- tests/test_write_kb_file.py | 79 +++++++++++++++++++++++++++++++ 4 files changed, 95 insertions(+), 7 deletions(-) create mode 100644 tests/test_write_kb_file.py diff --git a/openkb/agent/chat.py b/openkb/agent/chat.py index 04ffe4f7..4b4bb7e9 100644 --- a/openkb/agent/chat.py +++ b/openkb/agent/chat.py @@ -23,7 +23,7 @@ from prompt_toolkit.styles import Style from openkb.agent.chat_session import ChatSession -from openkb.agent.query import MAX_TURNS, build_chat_agent, build_query_agent +from openkb.agent.query import MAX_TURNS, build_chat_agent from openkb.log import append_log @@ -500,7 +500,11 @@ async def _handle_slash_skill(arg: str, kb_dir: Path, style: Style) -> None: """Dispatch ``/skill new ""`` and any future skill subcommands.""" import shlex - parts = shlex.split(arg) if arg else [] + try: + parts = shlex.split(arg) if arg else [] + except ValueError as exc: + _fmt(style, ("class:error", f"[ERROR] Could not parse: {exc}\n")) + return if not parts: _fmt(style, ("class:error", "Usage: /skill new \"\"\n")) return diff --git a/openkb/agent/tools.py b/openkb/agent/tools.py index 57f105df..76520785 100644 --- a/openkb/agent/tools.py +++ b/openkb/agent/tools.py @@ -186,21 +186,26 @@ def write_kb_file(path: str, content: str, kb_root: str) -> str: Returns: ``"Written: {path}"`` on success, or an access-denied message. """ + if not path: + return "Access denied: path must be a file under wiki/explorations/ or output/." root = Path(kb_root).resolve() full_path = (root / path).resolve() if not full_path.is_relative_to(root): return "Access denied: path escapes KB root." rel = full_path.relative_to(root) parts = rel.parts + # Require a file path with at least one component beyond the allow-list + # prefix, so a bare directory name (e.g. "output") does not slip through + # and crash on write_text with IsADirectoryError. allowed = ( - len(parts) >= 2 and parts[0] == "wiki" and parts[1] == "explorations" + len(parts) >= 3 and parts[0] == "wiki" and parts[1] == "explorations" ) or ( - len(parts) >= 1 and parts[0] == "output" + len(parts) >= 2 and parts[0] == "output" ) if not allowed: return ( - "Access denied: writes are only allowed under " - "wiki/explorations/** or output/**." + "Access denied: path must be a file under " + "wiki/explorations/ or output/." ) full_path.parent.mkdir(parents=True, exist_ok=True) full_path.write_text(content, encoding="utf-8") diff --git a/tests/test_chat_slash_commands.py b/tests/test_chat_slash_commands.py index 2a781da5..a77d3bda 100644 --- a/tests/test_chat_slash_commands.py +++ b/tests/test_chat_slash_commands.py @@ -176,7 +176,7 @@ async def prompt_async(self) -> str: p, collected = _collect_fmt() with ( p, - patch("openkb.agent.chat.build_query_agent", return_value=object()), + patch("openkb.agent.chat.build_chat_agent", return_value=object()), patch("openkb.agent.chat._print_header"), patch("openkb.agent.chat._make_prompt_session", return_value=prompt), patch("openkb.agent.chat._handle_slash", new_callable=AsyncMock, side_effect=KeyboardInterrupt), diff --git a/tests/test_write_kb_file.py b/tests/test_write_kb_file.py new file mode 100644 index 00000000..7688b1b6 --- /dev/null +++ b/tests/test_write_kb_file.py @@ -0,0 +1,79 @@ +"""Regression tests for ``openkb.agent.tools.write_kb_file``. + +Covers the allow-list (``wiki/explorations/**`` and ``output/**``), path +traversal rejection, the bare-directory guard (e.g. ``"output"`` alone), +and automatic parent-directory creation. +""" +from __future__ import annotations + +from pathlib import Path + +import pytest + +from openkb.agent.tools import write_kb_file + + +@pytest.fixture +def kb_root(tmp_path: Path) -> str: + return str(tmp_path) + + +def test_rejects_empty_path(kb_root: str) -> None: + result = write_kb_file("", "hi", kb_root) + assert result.startswith("Access denied") + + +def test_rejects_bare_output_directory(kb_root: str) -> None: + # "output" alone resolves to the directory itself and would crash + # write_text with IsADirectoryError. The guard must reject it. + result = write_kb_file("output", "hi", kb_root) + assert result.startswith("Access denied") + # And, critically, no file/dir should have been written at that name. + assert not (Path(kb_root) / "output").exists() or (Path(kb_root) / "output").is_dir() + + +def test_rejects_bare_wiki_explorations_directory(kb_root: str) -> None: + result = write_kb_file("wiki/explorations", "hi", kb_root) + assert result.startswith("Access denied") + + +def test_rejects_outside_allow_list(kb_root: str) -> None: + result = write_kb_file("wiki/summaries/x.md", "hi", kb_root) + assert result.startswith("Access denied") + assert not (Path(kb_root) / "wiki" / "summaries" / "x.md").exists() + + +def test_accepts_output_skill_path(kb_root: str) -> None: + result = write_kb_file("output/skills/demo/SKILL.md", "# demo\n", kb_root) + assert result == "Written: output/skills/demo/SKILL.md" + written = Path(kb_root) / "output" / "skills" / "demo" / "SKILL.md" + assert written.read_text(encoding="utf-8") == "# demo\n" + + +def test_accepts_wiki_exploration(kb_root: str) -> None: + result = write_kb_file("wiki/explorations/transcript.md", "notes", kb_root) + assert result == "Written: wiki/explorations/transcript.md" + written = Path(kb_root) / "wiki" / "explorations" / "transcript.md" + assert written.read_text(encoding="utf-8") == "notes" + + +def test_rejects_path_traversal(kb_root: str) -> None: + result = write_kb_file("../escape.md", "evil", kb_root) + assert result.startswith("Access denied") + # Must not have written outside the KB root. + assert not (Path(kb_root).parent / "escape.md").exists() + + +def test_rejects_traversal_via_allowed_prefix(kb_root: str) -> None: + # Even when starting with an allowed-looking prefix, traversal must escape + # the KB root (Path.resolve normalizes ``..``) and be rejected. + result = write_kb_file("output/../../escape.md", "evil", kb_root) + assert result.startswith("Access denied") + + +def test_creates_parent_directories(kb_root: str) -> None: + # Deeply nested target with no pre-existing parents. + target = "output/skills/new/nested/deep/SKILL.md" + result = write_kb_file(target, "deep", kb_root) + assert result == f"Written: {target}" + assert (Path(kb_root) / target).read_text(encoding="utf-8") == "deep" From c961e9a2861ad4c71bd5bcff5090e8ff222928a6 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:37:36 +0800 Subject: [PATCH 14/35] docs(skill): README + CONTRIBUTING + PR template for skill submissions --- .../PULL_REQUEST_TEMPLATE/skill_submission.md | 22 ++++++ CONTRIBUTING.md | 71 +++++++++++++++++++ README.md | 41 +++++++++++ 3 files changed, 134 insertions(+) create mode 100644 .github/PULL_REQUEST_TEMPLATE/skill_submission.md create mode 100644 CONTRIBUTING.md diff --git a/.github/PULL_REQUEST_TEMPLATE/skill_submission.md b/.github/PULL_REQUEST_TEMPLATE/skill_submission.md new file mode 100644 index 00000000..a413744a --- /dev/null +++ b/.github/PULL_REQUEST_TEMPLATE/skill_submission.md @@ -0,0 +1,22 @@ +## Skill submission + +- **Name:** `` +- **What it does (one sentence):** +- **Source material:** + +### Checklist + +- [ ] I have the right to redistribute the source material this skill is + derived from (public, my own work, properly licensed, or fair-use + methodology only — not bulk-copied copyrighted text). +- [ ] `SKILL.md` has valid YAML frontmatter with `name:` and `description:` + (description ≤ 1024 chars). +- [ ] All `[[references/...]]` links resolve. +- [ ] I added an entry under `plugins[0].skills` in + `.claude-plugin/marketplace.json`. +- [ ] I installed and tested this skill locally in at least one agent CLI + (Claude Code / Codex CLI / Gemini CLI / Cursor). + +### Notes for reviewers + + diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..dfbb7eb2 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,71 @@ +# Contributing to OpenKB + +Thanks for your interest in OpenKB! There are two ways to contribute: code (bug +fixes, new features) and skills (compiled knowledge artifacts). + +## Code contributions + +Standard GitHub workflow: + +1. Fork the repo and create a feature branch off `main`. +2. Add tests for any new behaviour. Run `uv run pytest` to verify they pass. +3. Open a PR with a clear description and link to any related issues. +4. Address review feedback. A maintainer will merge once everything looks good. + +## Submitting a skill + +OpenKB doubles as a registry for compiled-knowledge skills. The `skills/` +directory in this repo hosts the official `openkb` skill plus +community-contributed skills installable via: + +```bash +npx skills@latest add VectifyAI/OpenKB +``` + +To submit your skill: + +### 1. Compile and test locally + +```bash +cd +openkb skill new "" +cp -r output/skills/ ~/.claude/skills/ +# Verify the skill activates in a Claude Code session on a relevant question +``` + +### 2. Open a PR against this repo + +1. Fork `VectifyAI/OpenKB`. +2. Copy your skill into the fork at `skills//`. +3. Add a new entry under `plugins[0].skills` in `.claude-plugin/marketplace.json`: + ```json + "./skills/" + ``` +4. Open a PR with the "Skill submission" template (auto-applied when you create + the PR). + +### 3. Review + +A maintainer will review your submission against this checklist: + +- `SKILL.md` has a valid YAML frontmatter with `name:` and `description:` + (description ≤ 1024 characters). +- The `description` is specific (not "a skill about X"). +- All `[[references/...]]` links resolve to files you actually included. +- Skill name doesn't clash with an existing entry. +- No obvious copyright-infringing content (large verbatim copies of recent + copyrighted books or papers without authorisation). + +You're responsible for confirming you have rights to redistribute the source +material your skill is derived from. The PR template includes a checkbox for +this. + +### What makes a good community skill + +- **Methodology-focused**, not bulk-copied content. "How to reason about X" + beats "the full text of X". +- **Specific scope** so the `description:` field can be precise enough that + loading agents pick it up at the right time. +- **Tested in at least one agent CLI** before submission. + +Thanks for sharing what you've compiled! diff --git a/README.md b/README.md index 840a051d..41278d29 100644 --- a/README.md +++ b/README.md @@ -150,6 +150,7 @@ A single source might touch 10-15 wiki pages. Knowledge accumulates: each docume |---|---| | `openkb init` | Initialize a new knowledge base (interactive) | | openkb add <file_or_dir_or_URL> | Add documents and compile to wiki. URL ingest auto-detects PDF (saved as `.pdf` → PageIndex / markitdown) vs HTML (trafilatura main-content extract → `.md`) | +| openkb skill new <name> "<intent>" | Compile a skill from this KB's wiki into `output/skills//` and update the marketplace manifest | | openkb remove <doc> | Remove a document and clean up its wiki pages, images, registry, and PageIndex state (use `--dry-run` to preview, `--keep-raw` / `--keep-empty-concepts` to retain artifacts) | | openkb query "question" | Ask a question over the knowledge base (use `--save` to save the answer to `wiki/explorations/`) | | `openkb chat` | Start an interactive multi-turn chat (use `--resume`, `--list`, `--delete` to manage sessions) | @@ -161,6 +162,46 @@ A single source might touch 10-15 wiki pages. Knowledge accumulates: each docume +### Skills — compile your wiki into a redistributable skill + +Once you have a populated wiki, you can compile a subset of it into an +**Anthropic Skill** — a portable folder that Claude Code, Codex CLI, +Gemini CLI, and Cursor all know how to load. + +```bash +openkb skill new karpathy-thinking \ + "Reason about transformers and attention in Karpathy's style" +``` + +This produces `output/skills/karpathy-thinking/` with `SKILL.md`, +optional `references/`, and an auto-updated +`.claude-plugin/marketplace.json` for distribution. + +**Install locally:** + +```bash +cp -r output/skills/karpathy-thinking ~/.claude/skills/ +``` + +**Share with others:** + +Push your KB directory to GitHub, then anyone can install all your skills with one command: + +```bash +npx skills@latest add / +``` + +You can also iterate inside chat: + +``` +/skill new karpathy-thinking "Reason about transformers like Karpathy" +[generation streams] +> description is too generic, make it about transformer implementations specifically +[agent edits SKILL.md frontmatter in place] +``` + +See [CONTRIBUTING.md](CONTRIBUTING.md) for how to submit your compiled skill back to the OpenKB community registry. + ### Interactive Chat `openkb chat` opens an interactive chat session over your wiki knowledge base. Unlike the one-shot `openkb query`, each turn carries the conversation history, so you can dig into a topic without re-typing context. From 439d017b083b40c2232236134a21b3ac579579ea Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 13:51:01 +0800 Subject: [PATCH 15/35] fix(skill): align tool names + add safety gates to chat /skill new MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit C1: /skill new in chat had only name validation — no wiki-exists check, no wiki-content check, no overwrite guard. The CLI had all three. Extract the gates into _preflight_skill_new and call from both. Add explicit 'remove existing skill first' message in chat (no -y equivalent there). C2: System prompt advertised tool names (list_wiki_dir, read_wiki_file, write_skill_file) that didn't match what was registered with @function_tool (list_wiki, read_wiki, write_skill). LLM saw the registered names; prompt references would confuse it. Rename the wrappers to match. I1: query_wiki was a sync @function_tool calling asyncio.run() on run_query — works only because openai-agents SDK runs sync tools on worker threads. Convert to async @function_tool so the runner awaits it in the same loop, eliminating the nested-asyncio fragility. Add 2 regression tests for the chat safety gates. --- openkb/agent/chat.py | 14 +++++- openkb/agent/skill_compiler.py | 28 ++++++------ openkb/cli.py | 79 ++++++++++++++++++++++------------ tests/test_skill_chat_slash.py | 41 ++++++++++++++++++ 4 files changed, 118 insertions(+), 44 deletions(-) diff --git a/openkb/agent/chat.py b/openkb/agent/chat.py index 4b4bb7e9..2f523dc3 100644 --- a/openkb/agent/chat.py +++ b/openkb/agent/chat.py @@ -521,12 +521,22 @@ async def _handle_slash_skill(arg: str, kb_dir: Path, style: Style) -> None: name = parts[1] intent = " ".join(parts[2:]) - from openkb.cli import _validate_skill_name - err = _validate_skill_name(name) + # Use the same safety gates as the CLI (name validation, wiki dir, + # wiki content). Chat doesn't have a -y flag, so existing skills + # block with a clear instruction to delete first. + from openkb.cli import _preflight_skill_new + err = _preflight_skill_new(kb_dir, name, yes_flag=False) if err: _fmt(style, ("class:error", f"[ERROR] {err}\n")) return + target = kb_dir / "output" / "skills" / name + if target.exists(): + _fmt(style, ("class:error", + f"[ERROR] output/skills/{name}/ already exists. Remove it first " + f"with `rm -rf output/skills/{name}` and re-run.\n")) + return + # Load model from KB config from openkb.config import load_config, DEFAULT_CONFIG config = load_config(kb_dir / ".openkb" / "config.yaml") diff --git a/openkb/agent/skill_compiler.py b/openkb/agent/skill_compiler.py index 79b64751..0733673a 100644 --- a/openkb/agent/skill_compiler.py +++ b/openkb/agent/skill_compiler.py @@ -13,16 +13,15 @@ """ from __future__ import annotations -import asyncio from pathlib import Path from agents import Agent, Runner, function_tool from agents.model_settings import ModelSettings from openkb.agent.skill_tools import ( - list_wiki_dir, - read_wiki_file_for_skill, - write_skill_file, + list_wiki_dir as _list_wiki_dir_impl, + read_wiki_file_for_skill as _read_wiki_file_impl, + write_skill_file as _write_skill_file_impl, ) from openkb.prompts import load_prompt from openkb.schema import get_agents_md @@ -59,32 +58,31 @@ def build_skill_compile_agent( ) @function_tool - def list_wiki(directory: str) -> str: + def list_wiki_dir(directory: str) -> str: """List .md files in a wiki subdirectory (e.g. 'concepts').""" - return list_wiki_dir(directory, wiki_root) + return _list_wiki_dir_impl(directory, wiki_root) @function_tool - def read_wiki(path: str) -> str: + def read_wiki_file(path: str) -> str: """Read a wiki markdown file by path relative to wiki/ (e.g. 'concepts/attention.md').""" - return read_wiki_file_for_skill(path, wiki_root) + return _read_wiki_file_impl(path, wiki_root) @function_tool - def query_wiki(question: str) -> str: + async def query_wiki(question: str) -> str: """Run a semantic query over the wiki and return the answer. Use sparingly — this is itself an LLM call. Prefer reading specific files when you already know which one you want. """ - # Lazy import to avoid circular dependency at module import. + # Lazy import to avoid a circular dependency at module load time. from openkb.agent.query import run_query kb_dir = Path(wiki_root).parent - config_model = model - return asyncio.run(run_query(question, kb_dir, config_model, stream=False)) + return await run_query(question, kb_dir, model, stream=False) @function_tool - def write_skill(path: str, content: str) -> str: + def write_skill_file(path: str, content: str) -> str: """Write a file under the skill directory.""" - return write_skill_file(path, content, skill_root) + return _write_skill_file_impl(path, content, skill_root) @function_tool def done(summary: str) -> str: @@ -94,7 +92,7 @@ def done(summary: str) -> str: return Agent( name="skill-compiler", instructions=instructions, - tools=[list_wiki, read_wiki, query_wiki, write_skill, done], + tools=[list_wiki_dir, read_wiki_file, query_wiki, write_skill_file, done], model=f"litellm/{model}", model_settings=ModelSettings(parallel_tool_calls=False), ) diff --git a/openkb/cli.py b/openkb/cli.py index b96894ba..95e8d8d1 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -165,6 +165,54 @@ def _validate_skill_name(name: str) -> str | None: return None +def _preflight_skill_new( + kb_dir: Path, name: str, yes_flag: bool, +) -> str | None: + """Run all the safety gates for ``openkb skill new`` / ``/skill new``. + + Returns ``None`` if it's safe to proceed (caller will then either + proceed or, for the overwrite case, call ``_clear_existing_skill_dir`` + after confirming with the user). Returns an error message string if + one of the gates trips. + + NOTE: This intentionally does NOT handle the overwrite confirmation + itself — that's caller-specific (TTY-based ``click.confirm`` in CLI; + explicit ``--force``-style flag in chat). It only returns an error if + the target dir exists AND ``yes_flag`` is False, and the caller is + expected to detect that error message and prompt as appropriate. + """ + err = _validate_skill_name(name) + if err: + return err + + wiki = kb_dir / "wiki" + if not wiki.is_dir(): + return ( + "No wiki found in this KB. Run `openkb add ` to " + "ingest documents first." + ) + + has_content = any( + (wiki / sub).is_dir() and any((wiki / sub).iterdir()) + for sub in ("concepts", "summaries") + ) + if not has_content: + return ( + "Wiki has no compiled content yet. Ingest at least one " + "document with `openkb add` first." + ) + + return None + + +def _clear_existing_skill_dir(kb_dir: Path, name: str) -> None: + """Delete an existing ``/output/skills//`` directory.""" + import shutil + target = kb_dir / "output" / "skills" / name + if target.exists(): + shutil.rmtree(target) + + def add_single_file(file_path: Path, kb_dir: Path) -> Literal["added", "skipped", "failed"]: """Convert, index, and compile a single document into the knowledge base. @@ -1393,7 +1441,6 @@ def skill_new(ctx, name, intent, yes_flag): openkb skill new karpathy-thinking "Reason about transformers like Karpathy" """ import asyncio - import shutil import sys kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) @@ -1401,38 +1448,16 @@ def skill_new(ctx, name, intent, yes_flag): click.echo("No knowledge base found. Run `openkb init` first.", err=True) ctx.exit(1) - # Validate name - err = _validate_skill_name(name) + err = _preflight_skill_new(kb_dir, name, yes_flag) if err: click.echo(f"[ERROR] {err}", err=True) - ctx.exit(2) - - # Validate wiki exists and has content - wiki = kb_dir / "wiki" - if not wiki.is_dir(): - click.echo( - "[ERROR] No wiki found in this KB. Run `openkb add ` " - "to ingest documents first.", - err=True, - ) - ctx.exit(1) - has_content = any( - (wiki / sub).is_dir() and any((wiki / sub).iterdir()) - for sub in ("concepts", "summaries") - ) - if not has_content: - click.echo( - "[ERROR] Wiki has no compiled content yet. Ingest at least one " - "document with `openkb add` first.", - err=True, - ) ctx.exit(1) - # Overwrite handling + # Overwrite handling (CLI-specific) target = kb_dir / "output" / "skills" / name if target.exists(): if yes_flag: - shutil.rmtree(target) + _clear_existing_skill_dir(kb_dir, name) elif sys.stdin.isatty(): if not click.confirm( f"output/skills/{name}/ already exists. Overwrite?", @@ -1440,7 +1465,7 @@ def skill_new(ctx, name, intent, yes_flag): ): click.echo("Aborted.") ctx.exit(1) - shutil.rmtree(target) + _clear_existing_skill_dir(kb_dir, name) else: click.echo( f"[ERROR] output/skills/{name}/ exists. Pass -y to overwrite " diff --git a/tests/test_skill_chat_slash.py b/tests/test_skill_chat_slash.py index f1eb6dc4..377f1a91 100644 --- a/tests/test_skill_chat_slash.py +++ b/tests/test_skill_chat_slash.py @@ -17,6 +17,9 @@ def _make_kb(tmp_path): (tmp_path / "wiki" / "concepts").mkdir(parents=True) (tmp_path / "wiki" / "summaries").mkdir(parents=True) (tmp_path / "wiki" / "index.md").write_text("# index\n") + # Populate so wiki-content gate accepts + (tmp_path / "wiki" / "concepts" / "demo.md").write_text("# demo\n") + (tmp_path / "wiki" / "summaries" / "demo.md").write_text("# demo\n") return tmp_path @@ -62,3 +65,41 @@ async def test_slash_skill_unknown_subcommand(tmp_path): style = Style.from_dict({}) action = await _handle_slash('/skill list', kb, session, style) assert action is None + + +@pytest.mark.asyncio +async def test_slash_skill_new_rejects_empty_wiki(tmp_path): + """Chat / slash command must catch freshly-init'd KBs (no compiled content).""" + kb = tmp_path + (kb / ".openkb").mkdir() + (kb / ".openkb" / "config.yaml").write_text("model: gpt-4o-mini\n") + (kb / ".openkb" / "chats").mkdir() + # Empty wiki/ — exactly what `openkb init` creates + (kb / "wiki" / "concepts").mkdir(parents=True) + (kb / "wiki" / "summaries").mkdir(parents=True) + (kb / "wiki" / "index.md").write_text("# index\n") + + session = ChatSession.new(kb, "gpt-4o-mini", "en") + style = Style.from_dict({}) + + action = await _handle_slash('/skill new demo "intent"', kb, session, style) + assert action is None + assert not (kb / "output").exists() + + +@pytest.mark.asyncio +async def test_slash_skill_new_rejects_when_target_exists(tmp_path): + """Chat / slash command must not silently overwrite an existing skill.""" + kb = _make_kb(tmp_path) + (kb / "wiki" / "concepts" / "x.md").write_text("x") + (kb / "wiki" / "summaries" / "x.md").write_text("x") + (kb / "output" / "skills" / "demo").mkdir(parents=True) + (kb / "output" / "skills" / "demo" / "stale.txt").write_text("old") + + session = ChatSession.new(kb, "gpt-4o-mini", "en") + style = Style.from_dict({}) + + action = await _handle_slash('/skill new demo "intent"', kb, session, style) + assert action is None + # stale.txt must still be there (we didn't overwrite) + assert (kb / "output" / "skills" / "demo" / "stale.txt").read_text() == "old" From 746720098ccce057498840ae9f928e7f8350ef0e Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 15:04:53 +0800 Subject: [PATCH 16/35] fix(skill): lock marketplace naming to openkb@vectify convention The previous impl used the KB directory name as both the marketplace 'name' and the plugin 'name', and stitched together a metadata description by truncating the first skill's SKILL.md description at 200 chars (often mid-word). Lock the convention to match skills/openkb/.claude-plugin/marketplace.json from the official skill: - marketplace name: 'vectify' (always) - plugin name: 'openkb' (always) - description: fixed string, no SKILL.md content injection, no truncation Different KBs are distinguished by / URL, not manifest name. Users get one canonical install command (/plugin install openkb@vectify) regardless of which KB they're consuming. Also fix _git_owner to pass cwd=kb_dir so 'openkb --kb-dir ... skill new' run from anywhere reads the KB's git config, not the process CWD. --- openkb/marketplace.py | 36 ++++++++++++++++-------------------- tests/test_marketplace.py | 38 +++++++++++++++++++++++++++++++++----- 2 files changed, 49 insertions(+), 25 deletions(-) diff --git a/openkb/marketplace.py b/openkb/marketplace.py index 48887afe..e78df148 100644 --- a/openkb/marketplace.py +++ b/openkb/marketplace.py @@ -27,11 +27,12 @@ _DESCRIPTION_RE = re.compile(r"^description:\s*(.+?)\s*$", re.MULTILINE) -def _git_owner() -> dict[str, str]: - """Read user.name and user.email from git config for the manifest owner. +def _git_owner(kb_dir: Path) -> dict[str, str]: + """Read user.name and user.email from git config (run in kb_dir context). - Falls back to placeholders if git isn't configured — the manifest is - still valid, just less helpful for marketplace listings. + Falls back to placeholders if git isn't configured. ``cwd=kb_dir`` so + that ``git config`` resolves the KB's local-or-walked-up settings, + not the process's working directory at the time of CLI invocation. """ import subprocess @@ -40,6 +41,7 @@ def _git(key: str) -> str: result = subprocess.run( ["git", "config", "--get", key], capture_output=True, text=True, timeout=2, + cwd=str(kb_dir), ) return result.stdout.strip() except (subprocess.SubprocessError, FileNotFoundError): @@ -71,11 +73,6 @@ def _read_skill_description(skill_md: Path) -> str: return desc_match.group(1).strip() -def _kb_name(kb_dir: Path) -> str: - """Use the KB directory name as the marketplace name (sluggable).""" - return kb_dir.name - - def _list_skill_dirs(kb_dir: Path) -> list[Path]: """Return skill directories under /output/skills/ that contain a SKILL.md.""" skills_root = kb_dir / "output" / "skills" @@ -91,23 +88,22 @@ def _build_manifest(kb_dir: Path) -> dict[str, Any]: skills = _list_skill_dirs(kb_dir) skill_paths = [f"./output/skills/{d.name}" for d in skills] - # Aggregate description for the manifest metadata - name = _kb_name(kb_dir) + # Fixed clean descriptions — no truncation, no SKILL.md interpolation. + # Naming convention is locked to `openkb@vectify` so users get one + # canonical install command regardless of which KB they're consuming; + # different KBs are distinguished by / URL. metadata_desc = ( - f"Skills compiled from the '{name}' knowledge base via OpenKB." + f"Skills compiled from the {kb_dir.name} knowledge base via OpenKB." ) - if skills: - first_desc = _read_skill_description(skills[0] / "SKILL.md") - if first_desc: - metadata_desc += f" Featured: {first_desc[:200]}" + plugin_desc = "Knowledge skills compiled from this OpenKB-managed knowledge base." # Pull KB config for version if available; default to 0.1.0 config = load_config(kb_dir / ".openkb" / "config.yaml") version = str(config.get("version", "0.1.0")) - owner = _git_owner() + owner = _git_owner(kb_dir) return { - "name": name, + "name": "vectify", "owner": owner, "metadata": { "description": metadata_desc, @@ -115,8 +111,8 @@ def _build_manifest(kb_dir: Path) -> dict[str, Any]: }, "plugins": [ { - "name": name, - "description": metadata_desc, + "name": "openkb", + "description": plugin_desc, "source": "./", "version": version, "author": owner, diff --git a/tests/test_marketplace.py b/tests/test_marketplace.py index 62c94f6c..dee118d5 100644 --- a/tests/test_marketplace.py +++ b/tests/test_marketplace.py @@ -36,10 +36,8 @@ def test_regenerate_creates_manifest_with_one_skill(tmp_path): manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) assert manifest["plugins"][0]["skills"] == ["./output/skills/karpathy-thinking"] - # The plugin's description carries the SKILL.md description for the latest entry, - # OR we use a fixed manifest-level description — implementation choice; we just - # check the SKILL.md description appears somewhere in the manifest JSON. - assert "Reason like Karpathy" in json.dumps(manifest) + # Naming convention is locked: top-level marketplace name is always "vectify". + assert manifest["name"] == "vectify" def test_regenerate_lists_multiple_skills_alphabetical(tmp_path): @@ -67,7 +65,7 @@ def test_regenerate_replaces_existing_file(tmp_path): regenerate_marketplace(kb) manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) - assert manifest["name"] != "stale" + assert manifest["name"] == "vectify" assert manifest["plugins"][0]["skills"] == ["./output/skills/demo"] @@ -155,3 +153,33 @@ def fake_run(cmd, **kwargs): assert manifest["owner"]["name"] == "openkb-user" # email is optional when missing assert "email" not in manifest["owner"] or manifest["owner"]["email"] == "" + + +def test_regenerate_uses_openkb_at_vectify_convention(tmp_path): + """All OpenKB-generated marketplaces must self-identify as 'vectify' + (top level) with a plugin named 'openkb', so users install via the + canonical `openkb@vectify` regardless of which KB they're consuming. + Different KBs are distinguished by / URL, not manifest name.""" + kb = _make_kb(tmp_path) + _make_skill(kb, "demo", "d") + regenerate_marketplace(kb) + + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + assert manifest["name"] == "vectify" + assert manifest["plugins"][0]["name"] == "openkb" + + +def test_regenerate_description_is_not_truncated(tmp_path): + """Manifest description must be a clean fixed string — no truncation + of SKILL.md content, no '...' mid-word.""" + kb = _make_kb(tmp_path) + _make_skill(kb, "demo", "the specific description goes here") + regenerate_marketplace(kb) + + manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) + # Must not contain the per-skill description (we don't inject it anymore) + assert "the specific description goes here" not in manifest["metadata"]["description"] + # Must not end with a truncated word (no trailing space-letter-letter etc.) + desc = manifest["metadata"]["description"] + assert not desc.endswith(" ") + assert desc.endswith(".") or desc.endswith("OpenKB.") From 5d76d58f1a18fa25280075da4a165399afce26a6 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 15:33:34 +0800 Subject: [PATCH 17/35] =?UTF-8?q?refactor(skill):=20address=20PR=20#57=20r?= =?UTF-8?q?eview=20feedback=20+=20rename=20compiler=E2=86=92creator?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Rename openkb/agent/skill_compiler.py → skill_creator.py (and associated symbols + prompt file). The existing openkb/agent/compiler.py owns 'compile' for raw → wiki; this module generates a skill from compiled wiki content, which is closer to 'create' / 'distill'. Disambiguates the verb in one package. - Translate MaxTurnsExceeded into a friendly RuntimeError inside run_skill_create. Both the CLI and chat call sites only catch RuntimeError; the SDK exception leaked a Python traceback before. - Defer the rmtree-on-overwrite until after _setup_llm_key and load_config succeed. Previously an unset API key would wipe the existing skill output with nothing to replace it. - Fix marketplace.py module docstring: don't claim chat-side SKILL.md edits regenerate the manifest (they don't). - Drop unused yes_flag from _preflight_skill_new + rewrite its docstring to match what the function actually does. - Clean up github-code-quality bot findings: unused pytest imports in 2 test files, unused 'manifest' local in test_marketplace.py (replaced with the assertion the test intended), redundant in-function stdlib imports in openkb/cli.py. Add 2 regression tests: - test_run_skill_create_translates_max_turns_to_runtime_error - test_skill_new_keeps_existing_skill_when_key_setup_fails --- openkb/agent/chat.py | 2 +- .../{skill_compiler.py => skill_creator.py} | 31 +++++++---- openkb/agent/skill_tools.py | 6 +-- openkb/cli.py | 54 ++++++++++--------- openkb/generator.py | 6 +-- openkb/marketplace.py | 21 +++++--- openkb/prompts/__init__.py | 2 +- .../{skill_compile.md => skill_create.md} | 2 +- tests/test_generator.py | 4 +- tests/test_marketplace.py | 12 +++-- tests/test_skill_chat_slash.py | 2 +- tests/test_skill_cli.py | 26 +++++++-- ...kill_compiler.py => test_skill_creator.py} | 47 ++++++++++++---- tests/test_skill_tools.py | 4 +- 14 files changed, 141 insertions(+), 78 deletions(-) rename openkb/agent/{skill_compiler.py => skill_creator.py} (81%) rename openkb/prompts/{skill_compile.md => skill_create.md} (97%) rename tests/{test_skill_compiler.py => test_skill_creator.py} (59%) diff --git a/openkb/agent/chat.py b/openkb/agent/chat.py index 2f523dc3..afabc745 100644 --- a/openkb/agent/chat.py +++ b/openkb/agent/chat.py @@ -525,7 +525,7 @@ async def _handle_slash_skill(arg: str, kb_dir: Path, style: Style) -> None: # wiki content). Chat doesn't have a -y flag, so existing skills # block with a clear instruction to delete first. from openkb.cli import _preflight_skill_new - err = _preflight_skill_new(kb_dir, name, yes_flag=False) + err = _preflight_skill_new(kb_dir, name) if err: _fmt(style, ("class:error", f"[ERROR] {err}\n")) return diff --git a/openkb/agent/skill_compiler.py b/openkb/agent/skill_creator.py similarity index 81% rename from openkb/agent/skill_compiler.py rename to openkb/agent/skill_creator.py index 0733673a..2e023c4e 100644 --- a/openkb/agent/skill_compiler.py +++ b/openkb/agent/skill_creator.py @@ -1,9 +1,9 @@ -"""The skill-compile agent. +"""The skill-create agent. Builds on the same openai-agents-SDK + LiteLLM stack as the query agent in ``openkb.agent.query``. The differences: -* System prompt comes from ``openkb/prompts/skill_compile.md`` and is +* System prompt comes from ``openkb/prompts/skill_create.md`` and is interpolated with the user's intent and the target skill name. * Tools are scoped: read the wiki, query the wiki, write only within the target skill directory. @@ -29,7 +29,7 @@ MAX_TURNS = 80 # higher than query (50) because compile can write multiple files -def build_skill_compile_agent( +def build_skill_create_agent( *, wiki_root: str, skill_root: str, @@ -51,7 +51,7 @@ def build_skill_compile_agent( Path(skill_root).mkdir(parents=True, exist_ok=True) wiki_schema = get_agents_md(Path(wiki_root)) - instructions = load_prompt("skill_compile").format( + instructions = load_prompt("skill_create").format( intent=intent, skill_name=skill_name, wiki_schema=wiki_schema, @@ -90,7 +90,7 @@ def done(summary: str) -> str: return f"Compilation marked done: {summary}" return Agent( - name="skill-compiler", + name="skill-creator", instructions=instructions, tools=[list_wiki_dir, read_wiki_file, query_wiki, write_skill_file, done], model=f"litellm/{model}", @@ -98,7 +98,7 @@ def done(summary: str) -> str: ) -async def run_skill_compile( +async def run_skill_create( *, kb_dir: Path, skill_name: str, @@ -108,12 +108,13 @@ async def run_skill_compile( """Compile a single skill from the KB's wiki. Returns the path to the produced skill directory. Raises - ``RuntimeError`` if the agent finishes without writing ``SKILL.md``. + ``RuntimeError`` if the agent finishes without writing ``SKILL.md``, + or if the SDK hits its turn cap before the agent declares done. """ wiki_root = str(kb_dir / "wiki") skill_root = kb_dir / "output" / "skills" / skill_name - agent = build_skill_compile_agent( + agent = build_skill_create_agent( wiki_root=wiki_root, skill_root=str(skill_root), skill_name=skill_name, @@ -128,7 +129,19 @@ async def run_skill_compile( f"working method. Read the wiki, then write the skill files." ) - await Runner.run(agent, seed, max_turns=MAX_TURNS) + # Lazy import: keeps the top of this module independent of the SDK's + # internal exception layout in case its export path moves. + from agents.exceptions import MaxTurnsExceeded + + try: + await Runner.run(agent, seed, max_turns=MAX_TURNS) + except MaxTurnsExceeded as exc: + raise RuntimeError( + f"Skill compilation hit the {MAX_TURNS}-step cap before finishing. " + f"The wiki may be too large for a single skill, or the intent may " + f"be too broad. Try splitting into multiple skills with narrower " + f"intents, or pass a smaller wiki subset." + ) from exc if not (skill_root / "SKILL.md").exists(): raise RuntimeError( diff --git a/openkb/agent/skill_tools.py b/openkb/agent/skill_tools.py index ef24d94e..3b7c736e 100644 --- a/openkb/agent/skill_tools.py +++ b/openkb/agent/skill_tools.py @@ -1,8 +1,8 @@ -"""Path-scoped IO tools for the skill-compile agent. +"""Path-scoped IO tools for the skill-create agent. -The skill-compile agent runs with three capabilities: +The skill-create agent runs with three capabilities: * READ from /wiki/** (the substrate) - * QUERY the wiki via openkb query (semantic retrieval, see skill_compiler.py) + * QUERY the wiki via openkb query (semantic retrieval, see skill_creator.py) * WRITE under /output/skills//** (the only output destination) These helpers enforce those boundaries at the Python level — every tool diff --git a/openkb/cli.py b/openkb/cli.py index 95e8d8d1..5e1a26be 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -165,21 +165,20 @@ def _validate_skill_name(name: str) -> str | None: return None -def _preflight_skill_new( - kb_dir: Path, name: str, yes_flag: bool, -) -> str | None: - """Run all the safety gates for ``openkb skill new`` / ``/skill new``. - - Returns ``None`` if it's safe to proceed (caller will then either - proceed or, for the overwrite case, call ``_clear_existing_skill_dir`` - after confirming with the user). Returns an error message string if - one of the gates trips. - - NOTE: This intentionally does NOT handle the overwrite confirmation - itself — that's caller-specific (TTY-based ``click.confirm`` in CLI; - explicit ``--force``-style flag in chat). It only returns an error if - the target dir exists AND ``yes_flag`` is False, and the caller is - expected to detect that error message and prompt as appropriate. +def _preflight_skill_new(kb_dir: Path, name: str) -> str | None: + """Run shared safety gates for ``openkb skill new`` / ``/skill new``. + + Checks (in order): + * skill name is a valid kebab-case slug + * ``/wiki`` exists + * ``/wiki/concepts`` or ``/wiki/summaries`` has at least + one file (i.e. some document has been ingested + compiled) + + Returns ``None`` if all gates pass, else a single-line error message + suitable to print to the user. + + Overwrite handling is NOT done here — the CLI handles it with + ``-y`` + ``click.confirm``; chat refuses overwrite outright. """ err = _validate_skill_name(name) if err: @@ -207,7 +206,6 @@ def _preflight_skill_new( def _clear_existing_skill_dir(kb_dir: Path, name: str) -> None: """Delete an existing ``/output/skills//`` directory.""" - import shutil target = kb_dir / "output" / "skills" / name if target.exists(): shutil.rmtree(target) @@ -1440,20 +1438,29 @@ def skill_new(ctx, name, intent, yes_flag): openkb skill new karpathy-thinking "Reason about transformers like Karpathy" """ - import asyncio - import sys - kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) if kb_dir is None: click.echo("No knowledge base found. Run `openkb init` first.", err=True) ctx.exit(1) - err = _preflight_skill_new(kb_dir, name, yes_flag) + err = _preflight_skill_new(kb_dir, name) if err: click.echo(f"[ERROR] {err}", err=True) ctx.exit(1) - # Overwrite handling (CLI-specific) + # Verify LLM key + load config BEFORE touching existing output. Any + # failure here (missing API key, malformed config) must leave the old + # skill directory intact — we can't replace it if we can't proceed. + try: + _setup_llm_key(kb_dir) + except RuntimeError as exc: + click.echo(f"[ERROR] {exc}", err=True) + ctx.exit(1) + config = load_config(kb_dir / ".openkb" / "config.yaml") + model = config.get("model", DEFAULT_CONFIG["model"]) + + # Overwrite handling (CLI-specific). Done AFTER key/config so a + # missing key doesn't wipe the user's existing skill output. target = kb_dir / "output" / "skills" / name if target.exists(): if yes_flag: @@ -1474,11 +1481,6 @@ def skill_new(ctx, name, intent, yes_flag): ) ctx.exit(1) - # Load config + key - _setup_llm_key(kb_dir) - config = load_config(kb_dir / ".openkb" / "config.yaml") - model = config.get("model", DEFAULT_CONFIG["model"]) - # Run the generator from openkb.generator import Generator click.echo(f"Compiling skill '{name}'...") diff --git a/openkb/generator.py b/openkb/generator.py index f24b4b73..843a1b06 100644 --- a/openkb/generator.py +++ b/openkb/generator.py @@ -9,14 +9,14 @@ distribution mechanic as skills) Each target plugs in its own `run` coroutine. v0.1's only entry calls into -``openkb.agent.skill_compiler.run_skill_compile``. +``openkb.agent.skill_creator.run_skill_create``. """ from __future__ import annotations from pathlib import Path from typing import Literal -from openkb.agent.skill_compiler import run_skill_compile +from openkb.agent.skill_creator import run_skill_create from openkb.marketplace import regenerate_marketplace @@ -56,7 +56,7 @@ def __init__( async def run(self) -> Path: """Execute the generator. Returns the path to the produced artifact.""" - await run_skill_compile( + await run_skill_create( kb_dir=self.kb_dir, skill_name=self.name, intent=self.intent, diff --git a/openkb/marketplace.py b/openkb/marketplace.py index e78df148..394952e7 100644 --- a/openkb/marketplace.py +++ b/openkb/marketplace.py @@ -1,17 +1,22 @@ """Regenerate the per-KB Claude Code plugin marketplace manifest. -After every `openkb skill new` (and after any chat-side edit to a SKILL.md -frontmatter), this module scans ``/output/skills/*/SKILL.md`` and -rewrites ``/.claude-plugin/marketplace.json`` listing all currently +After every successful skill generation (CLI ``openkb skill new`` or +chat ``/skill new``, both via ``Generator.run``), this module scans +``/output/skills/*/SKILL.md`` and rewrites +``/.claude-plugin/marketplace.json`` listing all currently compiled skills. The schema is a subset compatible with the OpenKB repo's own ``.claude-plugin/marketplace.json``: one plugin entry per KB, with a -``skills`` array of relative paths. ``owner`` is derived from git config -so Claude Code's ``/plugin marketplace add`` accepts the manifest. Other -agent CLIs (``npx skills add``) install from the same file. - -This is a deterministic step — no LLM calls. +``skills`` array of relative paths. ``owner`` is derived from git +config (run with cwd=kb_dir) so Claude Code's ``/plugin marketplace +add`` accepts the manifest. Other agent CLIs (``npx skills add``) +install from the same file. + +This is a deterministic step — no LLM calls. If a chat-session edit +to a SKILL.md changes the description after compile, the manifest is +NOT auto-regenerated; re-run ``openkb skill new`` or +``/skill new`` to refresh it. """ from __future__ import annotations diff --git a/openkb/prompts/__init__.py b/openkb/prompts/__init__.py index c28b2b1d..b5beda88 100644 --- a/openkb/prompts/__init__.py +++ b/openkb/prompts/__init__.py @@ -15,7 +15,7 @@ def load_prompt(name: str) -> str: """Return the contents of ``openkb/prompts/.md`` as a string. Args: - name: Filename without the ``.md`` suffix (e.g. ``"skill_compile"``). + name: Filename without the ``.md`` suffix (e.g. ``"skill_create"``). """ path = _PROMPTS_DIR / f"{name}.md" return path.read_text(encoding="utf-8") diff --git a/openkb/prompts/skill_compile.md b/openkb/prompts/skill_create.md similarity index 97% rename from openkb/prompts/skill_compile.md rename to openkb/prompts/skill_create.md index 7023bf80..bc222ef5 100644 --- a/openkb/prompts/skill_compile.md +++ b/openkb/prompts/skill_create.md @@ -1,4 +1,4 @@ -You are the OpenKB skill-compile agent. Your job: read the knowledge base +You are the OpenKB skill-create agent. Your job: read the knowledge base wiki at `/wiki/` and produce a redistributable Anthropic Skill at `/output/skills/{skill_name}/`. Other agents — Claude Code, Codex CLI, Gemini CLI, Cursor — will install this skill and load it on demand, so the diff --git a/tests/test_generator.py b/tests/test_generator.py index b2e7d0de..1ef179f5 100644 --- a/tests/test_generator.py +++ b/tests/test_generator.py @@ -44,7 +44,7 @@ def test_generator_skill_target_constructs_ok(tmp_path): @pytest.mark.asyncio -async def test_generator_run_delegates_to_skill_compiler(tmp_path): +async def test_generator_run_delegates_to_skill_creator(tmp_path): kb = _make_kb(tmp_path) g = Generator( target_type="skill", @@ -53,7 +53,7 @@ async def test_generator_run_delegates_to_skill_compiler(tmp_path): kb_dir=kb, model="gpt-4o-mini", ) - with patch("openkb.generator.run_skill_compile", new=AsyncMock()) as runner, \ + with patch("openkb.generator.run_skill_create", new=AsyncMock()) as runner, \ patch("openkb.generator.regenerate_marketplace") as regen: await g.run() runner.assert_awaited_once() diff --git a/tests/test_marketplace.py b/tests/test_marketplace.py index dee118d5..a34c34ba 100644 --- a/tests/test_marketplace.py +++ b/tests/test_marketplace.py @@ -95,11 +95,13 @@ def test_regenerate_reads_description_from_frontmatter(tmp_path): regenerate_marketplace(kb) manifest = json.loads((kb / ".claude-plugin" / "marketplace.json").read_text()) - # Manifest's metadata.description should at minimum mention the KB context; - # the per-skill description lives in the SKILL.md itself (the manifest just - # points at the skill directories). - assert "marketplace.json" in str(kb / ".claude-plugin" / "marketplace.json") - # Reload SKILL.md to confirm description preserved + # Per-skill descriptions live in the SKILL.md frontmatter, NOT in the + # marketplace manifest. The manifest just points at skill directories; + # the loading agent (Claude Code, npx skills) reads each SKILL.md to + # discover the per-skill description. Locking this in: the description + # must NOT leak into the top-level manifest metadata. + assert "the specific description goes here" not in manifest["metadata"]["description"] + # And the description IS preserved on disk in SKILL.md skill_md = (kb / "output" / "skills" / "demo" / "SKILL.md").read_text() assert "the specific description goes here" in skill_md diff --git a/tests/test_skill_chat_slash.py b/tests/test_skill_chat_slash.py index 377f1a91..100135a2 100644 --- a/tests/test_skill_chat_slash.py +++ b/tests/test_skill_chat_slash.py @@ -36,7 +36,7 @@ async def fake_run(kb_dir, skill_name, intent, model): f"---\nname: {skill_name}\ndescription: t\n---\n\n# {skill_name}\n" ) - with patch("openkb.generator.run_skill_compile", new=AsyncMock(side_effect=fake_run)): + with patch("openkb.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): action = await _handle_slash( '/skill new demo "test intent"', kb, session, style ) diff --git a/tests/test_skill_cli.py b/tests/test_skill_cli.py index 297f9e1d..4004450d 100644 --- a/tests/test_skill_cli.py +++ b/tests/test_skill_cli.py @@ -8,7 +8,6 @@ import json from unittest.mock import AsyncMock, patch -import pytest from click.testing import CliRunner from openkb.cli import cli @@ -27,7 +26,7 @@ def _make_kb(tmp_path): def _fake_compile(kb_dir, skill_name, **_kw): - """Side-effect for the patched run_skill_compile: write a minimal SKILL.md.""" + """Side-effect for the patched run_skill_create: write a minimal SKILL.md.""" target = kb_dir / "output" / "skills" / skill_name target.mkdir(parents=True, exist_ok=True) (target / "SKILL.md").write_text( @@ -43,7 +42,7 @@ async def fake_run(kb_dir, skill_name, intent, model): _fake_compile(kb_dir, skill_name) with patch("openkb.cli._find_kb_dir", return_value=kb), \ - patch("openkb.generator.run_skill_compile", new=AsyncMock(side_effect=fake_run)): + patch("openkb.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): result = runner.invoke(cli, ["skill", "new", "demo", "test intent"]) assert result.exit_code == 0, result.output @@ -124,9 +123,28 @@ async def fake_run(kb_dir, skill_name, intent, model): _fake_compile(kb_dir, skill_name) with patch("openkb.cli._find_kb_dir", return_value=kb), \ - patch("openkb.generator.run_skill_compile", new=AsyncMock(side_effect=fake_run)): + patch("openkb.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): result = runner.invoke(cli, ["skill", "new", "demo", "x", "-y"]) assert result.exit_code == 0, result.output assert not (kb / "output" / "skills" / "demo" / "stale.txt").exists() assert (kb / "output" / "skills" / "demo" / "SKILL.md").exists() + + +def test_skill_new_keeps_existing_skill_when_key_setup_fails(tmp_path): + """If LLM key setup raises (e.g. no API key), the old skill output + must be preserved — don't rmtree before key setup is verified.""" + kb = _make_kb(tmp_path) + target = kb / "output" / "skills" / "demo" + target.mkdir(parents=True) + (target / "stale.txt").write_text("priceless") + + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb), \ + patch("openkb.cli._setup_llm_key", + side_effect=RuntimeError("no API key configured")): + result = runner.invoke(cli, ["skill", "new", "demo", "x", "-y"]) + + assert result.exit_code != 0 + # Old skill must still be there + assert (target / "stale.txt").read_text() == "priceless" diff --git a/tests/test_skill_compiler.py b/tests/test_skill_creator.py similarity index 59% rename from tests/test_skill_compiler.py rename to tests/test_skill_creator.py index 6fd06f22..e166c418 100644 --- a/tests/test_skill_compiler.py +++ b/tests/test_skill_creator.py @@ -1,4 +1,4 @@ -"""Tests for openkb.agent.skill_compiler. +"""Tests for openkb.agent.skill_creator. The agent itself is mocked (we don't want to spend tokens in unit tests). What we DO test: @@ -6,15 +6,18 @@ * System prompt gets the intent and skill_name interpolated * The skill output dir is created before the agent starts * If the agent finishes without writing SKILL.md, we surface an error + * If the SDK hits its max-turns cap, we translate to RuntimeError so + the CLI/chat call sites (which only catch RuntimeError) print a + friendly message instead of leaking a traceback. """ from __future__ import annotations import pytest from unittest.mock import AsyncMock, patch -from openkb.agent.skill_compiler import ( - build_skill_compile_agent, - run_skill_compile, +from openkb.agent.skill_creator import ( + build_skill_create_agent, + run_skill_create, ) @@ -29,7 +32,7 @@ def _make_kb(tmp_path): def test_build_agent_interpolates_intent_and_name(tmp_path): kb = _make_kb(tmp_path) - agent = build_skill_compile_agent( + agent = build_skill_create_agent( wiki_root=str(kb / "wiki"), skill_root=str(kb / "output" / "skills" / "demo"), skill_name="demo", @@ -41,7 +44,7 @@ def test_build_agent_interpolates_intent_and_name(tmp_path): @pytest.mark.asyncio -async def test_run_skill_compile_creates_output_dir(tmp_path): +async def test_run_skill_create_creates_output_dir(tmp_path): kb = _make_kb(tmp_path) target = kb / "output" / "skills" / "demo" # Fake the agent run: just write a minimal SKILL.md to simulate success. @@ -53,8 +56,8 @@ async def fake_runner(*args, **kwargs): from types import SimpleNamespace return SimpleNamespace(final_output="done") - with patch("openkb.agent.skill_compiler.Runner.run", new=AsyncMock(side_effect=fake_runner)): - await run_skill_compile( + with patch("openkb.agent.skill_creator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + await run_skill_create( kb_dir=kb, skill_name="demo", intent="test intent", @@ -65,7 +68,7 @@ async def fake_runner(*args, **kwargs): @pytest.mark.asyncio -async def test_run_skill_compile_raises_when_no_skill_md_written(tmp_path): +async def test_run_skill_create_raises_when_no_skill_md_written(tmp_path): kb = _make_kb(tmp_path) target = kb / "output" / "skills" / "demo" target.mkdir(parents=True, exist_ok=True) @@ -74,11 +77,33 @@ async def fake_runner(*args, **kwargs): from types import SimpleNamespace return SimpleNamespace(final_output="done") - with patch("openkb.agent.skill_compiler.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.agent.skill_creator.Runner.run", new=AsyncMock(side_effect=fake_runner)): with pytest.raises(RuntimeError, match="did not write SKILL.md"): - await run_skill_compile( + await run_skill_create( kb_dir=kb, skill_name="demo", intent="test intent", model="gpt-4o-mini", ) + + +@pytest.mark.asyncio +async def test_run_skill_create_translates_max_turns_to_runtime_error(tmp_path): + """MaxTurnsExceeded from the SDK should be re-raised as a RuntimeError + with a user-friendly message — otherwise both CLI and chat call sites + (which only catch RuntimeError) leak a Python traceback.""" + from agents.exceptions import MaxTurnsExceeded + kb = _make_kb(tmp_path) + + async def fake_runner(*args, **kwargs): + raise MaxTurnsExceeded("agent ran out of turns") + + with patch("openkb.agent.skill_creator.Runner.run", + new=AsyncMock(side_effect=fake_runner)): + with pytest.raises(RuntimeError, match="step cap"): + await run_skill_create( + kb_dir=kb, + skill_name="demo", + intent="x", + model="gpt-4o-mini", + ) diff --git a/tests/test_skill_tools.py b/tests/test_skill_tools.py index 3c620c97..f5db686d 100644 --- a/tests/test_skill_tools.py +++ b/tests/test_skill_tools.py @@ -1,8 +1,6 @@ -"""Tests for openkb.agent.skill_tools — path-scoped IO for the skill compile agent.""" +"""Tests for openkb.agent.skill_tools — path-scoped IO for the skill-create agent.""" from __future__ import annotations -import pytest - from openkb.agent.skill_tools import ( list_wiki_dir, read_wiki_file_for_skill, From dbd78e69799b4ae34442f6b86660912b8198f44f Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 15:39:34 +0800 Subject: [PATCH 18/35] docs(readme): restructure into Wiki Foundation + Generators layers MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Reframe the project mental model: the wiki is the substrate, and several primitives (query, chat, skill new) generate output from it. Add 'Drop in a book. Out comes a digital expert.' slogan to the Skill Factory subsection. - Features list split into 'Wiki foundation' (compile + maintain) and 'Generators' (query / chat / Skill Factory) - Quick Start adds step 6 — distill a skill - Architecture diagram extended to show the wiki branching into query/chat + Skill Factory + future generators (ppt/podcast/…) - Usage section regrouped under 🧱 Wiki Foundation and ✨ Generators - Skill Factory subsection promoted with the slogan as its heading and a concrete example folder tree - Chat slash command list updated to include /skill new --- README.md | 121 ++++++++++++++++++++++++++++++++++-------------------- 1 file changed, 77 insertions(+), 44 deletions(-) diff --git a/README.md b/README.md index 41278d29..a8010e02 100644 --- a/README.md +++ b/README.md @@ -24,16 +24,22 @@ Traditional RAG rediscovers knowledge from scratch on every query. Nothing accum ### Features +OpenKB has two layers: a **wiki foundation** that compiles and maintains your knowledge, and **generators** that turn that wiki into useful artifacts. + +**Wiki foundation** — compile and maintain - **Broad format support** — PDF, Word, Markdown, PowerPoint, HTML, Excel, text, and more via markitdown -- **Scale to long documents** — Long and complex documents are handled via [PageIndex](https://github.com/VectifyAI/PageIndex) tree indexing, enabling accurate, vectorless long-context retrieval +- **Scale to long documents** — Handled via [PageIndex](https://github.com/VectifyAI/PageIndex) tree indexing, enabling accurate, vectorless long-context retrieval - **Native multi-modality** — Retrieves and understands figures, tables, and images, not just text -- **Compiled Wiki** — LLM manages and compiles your documents into summaries, concept pages, and cross-links, all kept in sync -- **Query** — Ask questions (one-off) against your wiki. The LLM navigates your compiled knowledge to answer -- **Interactive Chat** — Multi-turn conversations with persisted sessions you can resume across runs +- **Compiled Wiki** — LLM compiles documents into summaries, concept pages, and cross-links, all kept in sync - **Lint** — Health checks find contradictions, gaps, orphans, and stale content - **Watch mode** — Drop files into `raw/`, wiki updates automatically - **Obsidian compatible** — Wiki is plain `.md` files with `[[wikilinks]]`. Open in Obsidian for graph view and browsing +**Generators** — turn the wiki into something useful +- **Query** — Ask questions (one-off) against your wiki. The LLM navigates compiled knowledge to answer +- **Chat** — Multi-turn conversations with persisted sessions you can resume across runs +- **Skill Factory** — *Drop in a book. Out comes a digital expert.* Compile any subset of your wiki into a redistributable [Anthropic Skill](https://docs.claude.com/en/docs/build-with-claude/skills) installable in Claude Code / Codex / Gemini CLI / Cursor + # 🚀 Getting Started ### Install @@ -80,6 +86,9 @@ openkb query "What are the main findings?" # 5. Or chat interactively openkb chat + +# 6. Or distill your wiki into a redistributable skill +openkb skill new my-expert "Reason like an expert on " ``` ### Set up your LLM @@ -109,7 +118,7 @@ raw/ You drop files here │ Wiki Compilation (using LLM) │ │ ▼ ▼ -wiki/ +wiki/ │ ← the foundation ├── index.md Knowledge base overview ├── log.md Operations timeline ├── AGENTS.md Wiki schema (LLM instructions) @@ -118,6 +127,13 @@ wiki/ ├── concepts/ Cross-document synthesis ← the good stuff ├── explorations/ Saved query results └── reports/ Lint reports + │ + ┌──────────────────────┼──────────────────────┐ + ▼ ▼ ▼ + query / chat Skill Factory (future) + (LLM answers from openkb skill new ppt / podcast / + the wiki) → output/skills/ report / … + + marketplace.json ``` ### Short vs. Long Document Handling @@ -144,16 +160,15 @@ A single source might touch 10-15 wiki pages. Knowledge accumulates: each docume # ⚙️ Usage -### Commands +OpenKB commands fall into two layers: the **wiki foundation** (compile + manage your knowledge) and **generators** (turn that wiki into useful output). + +## 🧱 Wiki Foundation — compile and maintain | Command | Description | |---|---| | `openkb init` | Initialize a new knowledge base (interactive) | | openkb add <file_or_dir_or_URL> | Add documents and compile to wiki. URL ingest auto-detects PDF (saved as `.pdf` → PageIndex / markitdown) vs HTML (trafilatura main-content extract → `.md`) | -| openkb skill new <name> "<intent>" | Compile a skill from this KB's wiki into `output/skills//` and update the marketplace manifest | | openkb remove <doc> | Remove a document and clean up its wiki pages, images, registry, and PageIndex state (use `--dry-run` to preview, `--keep-raw` / `--keep-empty-concepts` to retain artifacts) | -| openkb query "question" | Ask a question over the knowledge base (use `--save` to save the answer to `wiki/explorations/`) | -| `openkb chat` | Start an interactive multi-turn chat (use `--resume`, `--list`, `--delete` to manage sessions) | | `openkb watch` | Watch `raw/` and auto-compile new files | | `openkb lint` | Run structural + knowledge health checks | | `openkb list` | List indexed documents and concepts | @@ -162,20 +177,63 @@ A single source might touch 10-15 wiki pages. Knowledge accumulates: each docume -### Skills — compile your wiki into a redistributable skill +## ✨ Generators — turn the wiki into output + +A "generator" reads from the compiled wiki and produces something usable: an answer, a conversation, a skill folder. The wiki is the substrate; generators are the surfaces. + +| Command | Output | +|---|---| +| openkb query "question" | A grounded answer with citations (use `--save` to persist to `wiki/explorations/`) | +| `openkb chat` | Interactive multi-turn session over the wiki (use `--resume`, `--list`, `--delete` to manage sessions) | +| openkb skill new <name> "<intent>" | A redistributable Anthropic Skill at `/output/skills//` + auto-updated `marketplace.json` | + +### Query & Chat — ask the wiki + +`openkb query "..."` answers a single question. `openkb chat` is interactive — each turn carries history, so you can dig into a topic without re-typing context. Both use the same underlying wiki and the same retrieval primitives (PageIndex for long docs, direct concept reads for short). + +```bash +openkb query "What does the literature say about attention scaling?" + +openkb chat # start a new session +openkb chat --resume # resume the most recent session +openkb chat --resume 20260411 # resume by id (unique prefix works) +openkb chat --list # list all sessions +openkb chat --delete # delete a session +``` + +Inside a chat, type `/` to access slash commands (Tab to complete): + +- `/help` — list available commands +- `/status` — show knowledge base status +- `/list` — list all documents +- `/add ` — add a document or directory without leaving the chat +- `/skill new ""` — compile a skill from this chat (see below) +- `/save [name]` — export the transcript to `wiki/explorations/` +- `/clear` — start a fresh session (the current one stays on disk) +- `/lint` — run knowledge base lint +- `/exit` — exit (Ctrl-D also works) + +### 🛠 Skill Factory — *Drop in a book. Out comes a digital expert.* -Once you have a populated wiki, you can compile a subset of it into an -**Anthropic Skill** — a portable folder that Claude Code, Codex CLI, -Gemini CLI, and Cursor all know how to load. +The newest generator. `openkb skill new` distills any subset of your wiki into an [Anthropic Skill](https://docs.claude.com/en/docs/build-with-claude/skills) — a portable folder that **Claude Code, Codex CLI, Gemini CLI, and Cursor** all install and load natively. Drop in a book's worth of papers; out comes a specialist that other agents can call on. ```bash openkb skill new karpathy-thinking \ "Reason about transformers and attention in Karpathy's style" ``` -This produces `output/skills/karpathy-thinking/` with `SKILL.md`, -optional `references/`, and an auto-updated -`.claude-plugin/marketplace.json` for distribution. +This produces: + +``` +/output/skills/karpathy-thinking/ +├── SKILL.md # YAML frontmatter + when-to-use + approach +├── references/ # depth material the agent loads on demand +│ ├── methodology.md +│ └── key-quotes.md +└── (scripts/) # optional, only if intent implies computation +``` + +…plus an auto-updated `/.claude-plugin/marketplace.json` so the whole KB is one-line installable. **Install locally:** @@ -183,15 +241,13 @@ optional `references/`, and an auto-updated cp -r output/skills/karpathy-thinking ~/.claude/skills/ ``` -**Share with others:** - -Push your KB directory to GitHub, then anyone can install all your skills with one command: +**Share with others** — push your KB to GitHub, then anyone runs: ```bash npx skills@latest add / ``` -You can also iterate inside chat: +**Iterate from chat** — compilation is one-shot, but follow-up edits aren't. Inside `openkb chat`, you can refine without re-running the whole pipeline: ``` /skill new karpathy-thinking "Reason about transformers like Karpathy" @@ -200,30 +256,7 @@ You can also iterate inside chat: [agent edits SKILL.md frontmatter in place] ``` -See [CONTRIBUTING.md](CONTRIBUTING.md) for how to submit your compiled skill back to the OpenKB community registry. - -### Interactive Chat - -`openkb chat` opens an interactive chat session over your wiki knowledge base. Unlike the one-shot `openkb query`, each turn carries the conversation history, so you can dig into a topic without re-typing context. - -```bash -openkb chat # start a new session -openkb chat --resume # resume the most recent session -openkb chat --resume 20260411 # resume by id (unique prefix works) -openkb chat --list # list all sessions -openkb chat --delete # delete a session -``` - -Inside a chat, type `/` to access slash commands (Tab to complete): - -- `/help` — list available commands -- `/status` — show knowledge base status -- `/list` — list all documents -- `/add ` — add a document or directory without leaving the chat -- `/save [name]` — export the transcript to `wiki/explorations/` -- `/clear` — start a fresh session (the current one stays on disk) -- `/lint` — run knowledge base lint -- `/exit` — exit (Ctrl-D also works) +See [CONTRIBUTING.md](CONTRIBUTING.md) for how to submit your compiled skill back to the community registry at [VectifyAI/OpenKB](https://github.com/VectifyAI/OpenKB). ### Configuration From 10c19d89c855c59d89a545134d0402287233e239 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 16:09:15 +0800 Subject: [PATCH 19/35] =?UTF-8?q?feat(skill):=20iteration=20workspace=20?= =?UTF-8?q?=E2=80=94=20preserve=20history,=20rollback=20support?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Borrows from Anthropic's skill-creator: each time 'openkb skill new -y' would overwrite an existing skill, the old version is copied to /output/skills/-workspace/iteration-N/ instead of being destroyed. Iteration numbers monotonically increase. Each iteration carries a diff.md showing description + reference-file delta vs the previous version. New commands: openkb skill history list past iterations openkb skill rollback restore latest iteration openkb skill rollback --to N restore specific iteration Tests cover: iteration numbering, restore-from-N, restore-from-latest, diff content (description / added refs / removed refs). --- openkb/cli.py | 151 +++++++++++++++++++++++ openkb/skill_workspace.py | 219 ++++++++++++++++++++++++++++++++++ tests/test_skill_cli.py | 121 +++++++++++++++++++ tests/test_skill_workspace.py | 153 ++++++++++++++++++++++++ 4 files changed, 644 insertions(+) create mode 100644 openkb/skill_workspace.py create mode 100644 tests/test_skill_workspace.py diff --git a/openkb/cli.py b/openkb/cli.py index 5e1a26be..66496a3d 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -1461,9 +1461,18 @@ def skill_new(ctx, name, intent, yes_flag): # Overwrite handling (CLI-specific). Done AFTER key/config so a # missing key doesn't wipe the user's existing skill output. + # + # When overwriting, we don't destroy the old skill — we copy it + # into /output/skills/-workspace/iteration-N/ first, so + # the user can roll back via `openkb skill rollback`. See + # ``openkb/skill_workspace.py``. + from openkb.skill_workspace import save_iteration, write_diff + target = kb_dir / "output" / "skills" / name + saved_iteration: Path | None = None if target.exists(): if yes_flag: + saved_iteration = save_iteration(kb_dir, name) _clear_existing_skill_dir(kb_dir, name) elif sys.stdin.isatty(): if not click.confirm( @@ -1472,6 +1481,7 @@ def skill_new(ctx, name, intent, yes_flag): ): click.echo("Aborted.") ctx.exit(1) + saved_iteration = save_iteration(kb_dir, name) _clear_existing_skill_dir(kb_dir, name) else: click.echo( @@ -1497,9 +1507,150 @@ def skill_new(ctx, name, intent, yes_flag): click.echo(f"[ERROR] {exc}", err=True) ctx.exit(1) + # Drop a structural diff inside the saved iteration so the user + # can see what changed since the previous compile. + if saved_iteration is not None: + try: + write_diff(saved_iteration, target, saved_iteration / "diff.md") + except Exception as exc: # diff is best-effort; never block success + logging.getLogger(__name__).debug( + "diff generation failed: %s", exc, exc_info=True + ) + click.echo(f"\nSaved: output/skills/{name}/") + if saved_iteration is not None: + rel = saved_iteration.relative_to(kb_dir) + click.echo(f"Previous version: {rel}/ (run `openkb skill rollback {name}` to restore)") click.echo(f"Manifest: .claude-plugin/marketplace.json updated") click.echo(f"\nInstall locally:") click.echo(f" cp -r output/skills/{name} ~/.claude/skills/") click.echo(f"\nShare (push KB to GitHub, then):") click.echo(f" npx skills@latest add /") + + +@skill.command("history") +@click.argument("name") +@click.pass_context +def skill_history(ctx, name): + """List previous iterations of a skill.""" + import datetime as _dt + + from openkb.skill_workspace import list_iterations + + kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) + if kb_dir is None: + click.echo("No knowledge base found. Run `openkb init` first.", err=True) + ctx.exit(1) + + err = _validate_skill_name(name) + if err: + click.echo(f"[ERROR] {err}", err=True) + ctx.exit(1) + + iters = list_iterations(kb_dir, name) + if not iters: + click.echo(f"No previous iterations for '{name}'.") + return + + click.echo(f"Iterations of '{name}' ({len(iters)} total):\n") + click.echo(" N Path Created") + click.echo(" - -------------------------------------------------- -------") + for path in iters: + n = int(path.name.split("-", 1)[1]) + rel = path.relative_to(kb_dir) + try: + mtime = _dt.datetime.fromtimestamp(path.stat().st_mtime) + stamp = mtime.strftime("%Y-%m-%d %H:%M") + except OSError: + stamp = "-" + click.echo(f" {n} {rel} {stamp}") + + current = kb_dir / "output" / "skills" / name + if current.is_dir(): + rel_curr = current.relative_to(kb_dir) + click.echo(f"\n Current: {rel_curr}/") + + latest_n = int(iters[-1].name.split("-", 1)[1]) + click.echo("\nRestore an iteration:") + click.echo( + f" openkb skill rollback {name} # restore latest (iteration-{latest_n})" + ) + click.echo( + f" openkb skill rollback {name} --to 1 # restore iteration-1" + ) + + +@skill.command("rollback") +@click.argument("name") +@click.option( + "--to", "to_n", + default=None, type=int, + help="Iteration number to restore. Defaults to latest.", +) +@click.option( + "-y", "--yes", "yes_flag", + is_flag=True, default=False, + help="Skip confirmation.", +) +@click.pass_context +def skill_rollback(ctx, name, to_n, yes_flag): + """Restore a previous iteration as the current skill.""" + from openkb.marketplace import regenerate_marketplace + from openkb.skill_workspace import list_iterations, restore_iteration + + kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) + if kb_dir is None: + click.echo("No knowledge base found. Run `openkb init` first.", err=True) + ctx.exit(1) + + err = _validate_skill_name(name) + if err: + click.echo(f"[ERROR] {err}", err=True) + ctx.exit(1) + + iters = list_iterations(kb_dir, name) + if not iters: + click.echo( + f"[ERROR] No iterations exist for '{name}'. Nothing to roll back.", + err=True, + ) + ctx.exit(1) + + target_n = to_n if to_n is not None else int(iters[-1].name.split("-", 1)[1]) + target_label = f"iteration-{target_n}" + if not any(p.name == target_label for p in iters): + click.echo( + f"[ERROR] Iteration {target_n} not found for '{name}'. " + f"Run `openkb skill history {name}` to see available iterations.", + err=True, + ) + ctx.exit(1) + + current = kb_dir / "output" / "skills" / name + if current.exists(): + prompt = ( + f"This will overwrite output/skills/{name}/ with {target_label}. Continue?" + ) + if yes_flag: + pass + elif sys.stdin.isatty(): + if not click.confirm(prompt, default=False): + click.echo("Aborted.") + ctx.exit(1) + else: + click.echo( + f"[ERROR] output/skills/{name}/ exists. Pass -y to overwrite " + f"in non-interactive contexts.", + err=True, + ) + ctx.exit(1) + + try: + restore_iteration(kb_dir, name, n=to_n) + except FileNotFoundError as exc: + click.echo(f"[ERROR] {exc}", err=True) + ctx.exit(1) + + regenerate_marketplace(kb_dir) + click.echo(f"Restored output/skills/{name}/ from {target_label}.") + click.echo("Manifest: .claude-plugin/marketplace.json updated") diff --git a/openkb/skill_workspace.py b/openkb/skill_workspace.py new file mode 100644 index 00000000..f82a42c7 --- /dev/null +++ b/openkb/skill_workspace.py @@ -0,0 +1,219 @@ +"""Skill iteration workspace — preserve history, enable rollback. + +When ``openkb skill new -y`` would overwrite an existing skill, +the CLI calls :func:`save_iteration` first to copy the current skill +directory into a parallel ``/output/skills/-workspace/`` tree +under ``iteration-N/``. Iteration numbers monotonically increase across +overwrites, so no work is destroyed by a new compile. + +After the new skill is generated, :func:`write_diff` drops a +``diff.md`` inside the saved iteration capturing the structural delta +(description change, ref/script add/remove, SKILL.md line-count delta). + +Borrowed from Anthropic's `skill-creator` iteration pattern: +https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md +""" +from __future__ import annotations + +import re +import shutil +from pathlib import Path + +__all__ = [ + "save_iteration", + "list_iterations", + "restore_iteration", + "write_diff", +] + + +def _skill_dir(kb_dir: Path, skill_name: str) -> Path: + return kb_dir / "output" / "skills" / skill_name + + +def _workspace_dir(kb_dir: Path, skill_name: str) -> Path: + return kb_dir / "output" / "skills" / f"{skill_name}-workspace" + + +_ITER_RE = re.compile(r"^iteration-(\d+)$") + + +def _iter_number(path: Path) -> int | None: + m = _ITER_RE.match(path.name) + return int(m.group(1)) if m else None + + +def list_iterations(kb_dir: Path, skill_name: str) -> list[Path]: + """List existing iteration directories for a skill, sorted by N ascending. + + Returns an empty list if the workspace doesn't exist. + """ + ws = _workspace_dir(kb_dir, skill_name) + if not ws.is_dir(): + return [] + iters: list[tuple[int, Path]] = [] + for child in ws.iterdir(): + if not child.is_dir(): + continue + n = _iter_number(child) + if n is None: + continue + iters.append((n, child)) + iters.sort(key=lambda t: t[0]) + return [p for _, p in iters] + + +def save_iteration(kb_dir: Path, skill_name: str) -> Path | None: + """Copy current ``/output/skills//`` to the next iteration slot. + + Returns the saved iteration path, or ``None`` if there's no current + skill to save (first compile of a new name). + """ + src = _skill_dir(kb_dir, skill_name) + if not src.is_dir(): + return None + + existing = list_iterations(kb_dir, skill_name) + next_n = (max((_iter_number(p) for p in existing), default=0) or 0) + 1 + + ws = _workspace_dir(kb_dir, skill_name) + ws.mkdir(parents=True, exist_ok=True) + dest = ws / f"iteration-{next_n}" + shutil.copytree(src, dest) + return dest + + +def restore_iteration( + kb_dir: Path, skill_name: str, n: int | None = None +) -> Path: + """Restore an iteration as the current skill. + + If ``n`` is ``None``, restore the highest-numbered iteration. Raises + ``FileNotFoundError`` if the requested iteration doesn't exist. + + Returns the path to the restored skill directory. + """ + iters = list_iterations(kb_dir, skill_name) + if not iters: + raise FileNotFoundError( + f"No iterations exist for skill {skill_name!r}." + ) + + if n is None: + src = iters[-1] + else: + match = next( + (p for p in iters if _iter_number(p) == n), + None, + ) + if match is None: + raise FileNotFoundError( + f"Iteration {n} not found for skill {skill_name!r}." + ) + src = match + + dest = _skill_dir(kb_dir, skill_name) + if dest.exists(): + shutil.rmtree(dest) + shutil.copytree(src, dest) + return dest + + +# --------------------------------------------------------------------------- +# Diff +# --------------------------------------------------------------------------- + + +_DESC_RE = re.compile( + r"^description:\s*(.*?)\s*$", + re.MULTILINE, +) + + +def _extract_description(skill_md: Path) -> str: + """Return the ``description:`` line from a SKILL.md frontmatter, + or empty string if absent.""" + if not skill_md.is_file(): + return "" + text = skill_md.read_text(encoding="utf-8", errors="replace") + # Only scan the frontmatter block to avoid matching body text. + if text.startswith("---"): + end = text.find("\n---", 3) + head = text[: end if end != -1 else len(text)] + else: + head = text[:2000] + m = _DESC_RE.search(head) + return m.group(1) if m else "" + + +def _list_files(root: Path, subdir: str) -> set[str]: + base = root / subdir + if not base.is_dir(): + return set() + return { + str(p.relative_to(root)).replace("\\", "/") + for p in base.rglob("*") + if p.is_file() + } + + +def _line_count(path: Path) -> int: + if not path.is_file(): + return 0 + return len(path.read_text(encoding="utf-8", errors="replace").splitlines()) + + +def write_diff(prev: Path, curr: Path, diff_path: Path) -> None: + """Write a human-readable structural diff from ``prev`` to ``curr``. + + Covers: + * description: line changes (from SKILL.md frontmatter) + * files added/removed under ``references/`` and ``scripts/`` + * line-count delta on SKILL.md + """ + prev_desc = _extract_description(prev / "SKILL.md") + curr_desc = _extract_description(curr / "SKILL.md") + + prev_refs = _list_files(prev, "references") + curr_refs = _list_files(curr, "references") + prev_scripts = _list_files(prev, "scripts") + curr_scripts = _list_files(curr, "scripts") + + added = sorted((curr_refs - prev_refs) | (curr_scripts - prev_scripts)) + removed = sorted((prev_refs - curr_refs) | (prev_scripts - curr_scripts)) + + prev_lc = _line_count(prev / "SKILL.md") + curr_lc = _line_count(curr / "SKILL.md") + delta = curr_lc - prev_lc + + lines: list[str] = [] + lines.append(f"# Skill diff: {prev.name} -> current\n") + + lines.append("## description\n") + if prev_desc == curr_desc: + lines.append("_unchanged_\n") + else: + lines.append(f"- before: {prev_desc or '(none)'}") + lines.append(f"- after: {curr_desc or '(none)'}\n") + + lines.append("## files\n") + if not added and not removed: + lines.append("_no files added or removed_\n") + else: + for p in added: + lines.append(f"- added: {p}") + for p in removed: + lines.append(f"- removed: {p}") + lines.append("") + + lines.append("## SKILL.md line count\n") + sign = "+" if delta >= 0 else "" + lines.append( + f"- before: {prev_lc} lines" + ) + lines.append( + f"- after: {curr_lc} lines ({sign}{delta})\n" + ) + + diff_path.parent.mkdir(parents=True, exist_ok=True) + diff_path.write_text("\n".join(lines), encoding="utf-8") diff --git a/tests/test_skill_cli.py b/tests/test_skill_cli.py index 4004450d..e570d000 100644 --- a/tests/test_skill_cli.py +++ b/tests/test_skill_cli.py @@ -131,6 +131,127 @@ async def fake_run(kb_dir, skill_name, intent, model): assert (kb / "output" / "skills" / "demo" / "SKILL.md").exists() +def test_skill_new_saves_iteration_when_overwriting(tmp_path): + """Overwriting with -y must copy the old skill into the workspace + under iteration-1/ before the generator runs.""" + kb = _make_kb(tmp_path) + target = kb / "output" / "skills" / "demo" + target.mkdir(parents=True) + (target / "SKILL.md").write_text( + "---\nname: demo\ndescription: original description\n---\n\n# demo\n" + ) + + runner = CliRunner() + + async def fake_run(kb_dir, skill_name, intent, model): + _fake_compile(kb_dir, skill_name) + + with patch("openkb.cli._find_kb_dir", return_value=kb), \ + patch("openkb.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): + result = runner.invoke(cli, ["skill", "new", "demo", "x", "-y"]) + + assert result.exit_code == 0, result.output + iter1 = kb / "output" / "skills" / "demo-workspace" / "iteration-1" + assert iter1.is_dir() + assert (iter1 / "SKILL.md").exists() + assert "original description" in (iter1 / "SKILL.md").read_text() + # And a diff.md is dropped against the previous version + assert (iter1 / "diff.md").exists() + + +def test_skill_history_command_lists_iterations(tmp_path): + """`openkb skill history ` lists existing iteration directories.""" + kb = _make_kb(tmp_path) + ws = kb / "output" / "skills" / "demo-workspace" + (ws / "iteration-1").mkdir(parents=True) + (ws / "iteration-1" / "SKILL.md").write_text( + "---\nname: demo\ndescription: v1\n---\n" + ) + (ws / "iteration-2").mkdir(parents=True) + (ws / "iteration-2" / "SKILL.md").write_text( + "---\nname: demo\ndescription: v2\n---\n" + ) + + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + result = runner.invoke(cli, ["skill", "history", "demo"]) + + assert result.exit_code == 0, result.output + assert "iteration-1" in result.output + assert "iteration-2" in result.output + + +def test_skill_history_command_when_no_iterations(tmp_path): + kb = _make_kb(tmp_path) + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + result = runner.invoke(cli, ["skill", "history", "demo"]) + assert result.exit_code == 0, result.output + assert "No previous iterations" in result.output + + +def test_skill_rollback_restores_from_workspace(tmp_path): + """`openkb skill rollback ` copies the latest iteration back + into output/skills//.""" + kb = _make_kb(tmp_path) + ws = kb / "output" / "skills" / "demo-workspace" + (ws / "iteration-1").mkdir(parents=True) + (ws / "iteration-1" / "SKILL.md").write_text( + "---\nname: demo\ndescription: restored\n---\n\n# demo\n" + ) + # Current skill is "broken" + current = kb / "output" / "skills" / "demo" + current.mkdir(parents=True) + (current / "SKILL.md").write_text( + "---\nname: demo\ndescription: broken\n---\n" + ) + + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + result = runner.invoke(cli, ["skill", "rollback", "demo", "-y"]) + + assert result.exit_code == 0, result.output + text = (current / "SKILL.md").read_text() + assert "restored" in text + assert "broken" not in text + # Marketplace manifest regenerated + assert (kb / ".claude-plugin" / "marketplace.json").exists() + + +def test_skill_rollback_to_specific_iteration(tmp_path): + kb = _make_kb(tmp_path) + ws = kb / "output" / "skills" / "demo-workspace" + (ws / "iteration-1").mkdir(parents=True) + (ws / "iteration-1" / "SKILL.md").write_text( + "---\nname: demo\ndescription: v1\n---\n" + ) + (ws / "iteration-2").mkdir(parents=True) + (ws / "iteration-2" / "SKILL.md").write_text( + "---\nname: demo\ndescription: v2\n---\n" + ) + current = kb / "output" / "skills" / "demo" + current.mkdir(parents=True) + (current / "SKILL.md").write_text("placeholder") + + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + result = runner.invoke( + cli, ["skill", "rollback", "demo", "--to", "1", "-y"] + ) + + assert result.exit_code == 0, result.output + assert "v1" in (current / "SKILL.md").read_text() + + +def test_skill_rollback_errors_when_no_iterations(tmp_path): + kb = _make_kb(tmp_path) + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + result = runner.invoke(cli, ["skill", "rollback", "demo", "-y"]) + assert result.exit_code != 0 + assert "No iterations" in result.output + + def test_skill_new_keeps_existing_skill_when_key_setup_fails(tmp_path): """If LLM key setup raises (e.g. no API key), the old skill output must be preserved — don't rmtree before key setup is verified.""" diff --git a/tests/test_skill_workspace.py b/tests/test_skill_workspace.py new file mode 100644 index 00000000..ac4b5af7 --- /dev/null +++ b/tests/test_skill_workspace.py @@ -0,0 +1,153 @@ +"""Tests for :mod:`openkb.skill_workspace` — iteration save/restore + diff.""" +from __future__ import annotations + +from pathlib import Path + +import pytest + +from openkb.skill_workspace import ( + list_iterations, + restore_iteration, + save_iteration, + write_diff, +) + + +def _make_skill(kb_dir: Path, name: str, *, description: str = "demo desc", + refs: list[str] | None = None, + skill_md_lines: int = 5) -> Path: + target = kb_dir / "output" / "skills" / name + target.mkdir(parents=True, exist_ok=True) + body = "\n".join(f"line {i}" for i in range(1, max(1, skill_md_lines) + 1)) + (target / "SKILL.md").write_text( + f"---\nname: {name}\ndescription: {description}\n---\n\n{body}\n", + encoding="utf-8", + ) + if refs: + refs_dir = target / "references" + refs_dir.mkdir(parents=True, exist_ok=True) + for r in refs: + (refs_dir / r).write_text("# ref\n", encoding="utf-8") + return target + + +# --------------------------------------------------------------------------- +# save_iteration +# --------------------------------------------------------------------------- + + +def test_save_iteration_returns_none_when_no_current_skill(tmp_path): + assert save_iteration(tmp_path, "missing") is None + + +def test_save_iteration_writes_iteration_1_then_2(tmp_path): + _make_skill(tmp_path, "demo", description="v1") + first = save_iteration(tmp_path, "demo") + assert first is not None + assert first.name == "iteration-1" + assert (first / "SKILL.md").exists() + assert "v1" in (first / "SKILL.md").read_text() + + # Mutate, then save again + _make_skill(tmp_path, "demo", description="v2") + second = save_iteration(tmp_path, "demo") + assert second is not None + assert second.name == "iteration-2" + assert "v2" in (second / "SKILL.md").read_text() + # First survives untouched + assert "v1" in (first / "SKILL.md").read_text() + + +# --------------------------------------------------------------------------- +# list_iterations +# --------------------------------------------------------------------------- + + +def test_list_iterations_returns_empty_when_no_workspace(tmp_path): + assert list_iterations(tmp_path, "nothing") == [] + + +def test_list_iterations_returns_sorted(tmp_path): + _make_skill(tmp_path, "demo") + save_iteration(tmp_path, "demo") + _make_skill(tmp_path, "demo", description="v2") + save_iteration(tmp_path, "demo") + iters = list_iterations(tmp_path, "demo") + assert [p.name for p in iters] == ["iteration-1", "iteration-2"] + + +# --------------------------------------------------------------------------- +# restore_iteration +# --------------------------------------------------------------------------- + + +def test_restore_iteration_latest_when_n_is_none(tmp_path): + _make_skill(tmp_path, "demo", description="v1") + save_iteration(tmp_path, "demo") + _make_skill(tmp_path, "demo", description="v2") + save_iteration(tmp_path, "demo") + # Simulate current skill being something else / broken + _make_skill(tmp_path, "demo", description="broken") + + restored = restore_iteration(tmp_path, "demo", n=None) + text = (restored / "SKILL.md").read_text() + assert "v2" in text + assert "broken" not in text + + +def test_restore_iteration_specific_n(tmp_path): + _make_skill(tmp_path, "demo", description="v1") + save_iteration(tmp_path, "demo") + _make_skill(tmp_path, "demo", description="v2") + save_iteration(tmp_path, "demo") + + restored = restore_iteration(tmp_path, "demo", n=1) + assert "v1" in (restored / "SKILL.md").read_text() + + +def test_restore_iteration_missing_raises(tmp_path): + _make_skill(tmp_path, "demo") + save_iteration(tmp_path, "demo") + with pytest.raises(FileNotFoundError): + restore_iteration(tmp_path, "demo", n=99) + + +def test_restore_iteration_no_workspace_raises(tmp_path): + with pytest.raises(FileNotFoundError): + restore_iteration(tmp_path, "demo") + + +# --------------------------------------------------------------------------- +# write_diff +# --------------------------------------------------------------------------- + + +def test_write_diff_records_description_change(tmp_path): + prev = _make_skill(tmp_path / "prev", "demo", description="old description") + curr = _make_skill(tmp_path / "curr", "demo", description="new description") + out = tmp_path / "diff.md" + write_diff(prev, curr, out) + content = out.read_text() + assert "description" in content.lower() + assert "old description" in content + assert "new description" in content + + +def test_write_diff_records_added_reference(tmp_path): + prev = _make_skill(tmp_path / "prev", "demo", refs=[]) + curr = _make_skill(tmp_path / "curr", "demo", refs=["new.md"]) + out = tmp_path / "diff.md" + write_diff(prev, curr, out) + content = out.read_text() + assert "added:" in content + assert "references/new.md" in content + + +def test_write_diff_records_removed_reference(tmp_path): + prev = _make_skill(tmp_path / "prev", "demo", refs=["old.md"]) + curr = _make_skill(tmp_path / "curr", "demo", refs=[]) + out = tmp_path / "diff.md" + write_diff(prev, curr, out) + content = out.read_text() + assert "removed:" in content + assert "references/old.md" in content From 7066e8351970d505bca531e6fe69aa39d2ddc871 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 16:13:42 +0800 Subject: [PATCH 20/35] feat(skill): pure-Python structural validator + auto-run on compile MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Borrows from Codex skill-creator's quick_validate.py: catches the common failure modes that would make a skill unloadable before distribution — missing/malformed frontmatter, name/dir mismatch, oversized files, broken references/* wikilinks, non-stdlib imports in scripts/* (strict mode). New CLI: openkb skill validate validate all compiled skills openkb skill validate validate one openkb skill validate --strict treat warnings as failures openkb skill new auto-runs validation after compile and surfaces errors + warnings so the user knows whether the freshly-compiled skill is well-formed. Doesn't block marketplace.json regeneration — the files are on disk and the user can fix or rollback. --- openkb/cli.py | 66 ++++++++ openkb/skill_validator.py | 208 +++++++++++++++++++++++ tests/test_skill_cli.py | 37 +++++ tests/test_skill_validator.py | 305 ++++++++++++++++++++++++++++++++++ 4 files changed, 616 insertions(+) create mode 100644 openkb/skill_validator.py create mode 100644 tests/test_skill_validator.py diff --git a/openkb/cli.py b/openkb/cli.py index 66496a3d..6e248f0f 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -1517,6 +1517,22 @@ def skill_new(ctx, name, intent, yes_flag): "diff generation failed: %s", exc, exc_info=True ) + # Auto-validate the freshly compiled skill. Surface issues but don't + # block — files are on disk and the user can fix or rollback. + from openkb.skill_validator import validate_skill + skill_dir = kb_dir / "output" / "skills" / name + result = validate_skill(skill_dir) + if result.errors or result.warnings: + click.echo("\n[WARN] Validation found issues:") + for err in result.errors: + click.echo(f" ERROR: {err}") + for warn in result.warnings: + click.echo(f" WARN: {warn}") + click.echo( + f"\nRun `openkb skill validate {name}` to re-check, or " + f"`openkb skill rollback {name}` to revert." + ) + click.echo(f"\nSaved: output/skills/{name}/") if saved_iteration is not None: rel = saved_iteration.relative_to(kb_dir) @@ -1654,3 +1670,53 @@ def skill_rollback(ctx, name, to_n, yes_flag): regenerate_marketplace(kb_dir) click.echo(f"Restored output/skills/{name}/ from {target_label}.") click.echo("Manifest: .claude-plugin/marketplace.json updated") + + +@skill.command("validate") +@click.argument("name", required=False) +@click.option( + "--strict", is_flag=True, default=False, + help="Treat warnings as failures (exit non-zero).", +) +@click.pass_context +def skill_validate(ctx, name, strict): + """Validate one skill (by name) or all compiled skills in this KB.""" + from openkb.skill_validator import validate_skill + + kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) + if kb_dir is None: + click.echo("No knowledge base found.", err=True) + ctx.exit(1) + + skills_root = kb_dir / "output" / "skills" + if not skills_root.is_dir(): + click.echo("No skills found. Compile one with `openkb skill new`.") + return + + if name: + target = skills_root / name + if not target.is_dir(): + click.echo(f"[ERROR] Skill '{name}' not found.", err=True) + ctx.exit(1) + targets = [target] + else: + targets = sorted( + d for d in skills_root.iterdir() + if d.is_dir() and not d.name.endswith("-workspace") + ) + + any_failed = False + for t in targets: + result = validate_skill(t, strict=strict) + passed = result.passed_strict if strict else result.passed + prefix = "[OK]" if passed else "[FAIL]" + click.echo(f"{prefix} {t.name}") + for err in result.errors: + click.echo(f" ERROR: {err}") + for warn in result.warnings: + click.echo(f" WARN: {warn}") + if not passed: + any_failed = True + + if any_failed: + ctx.exit(1) diff --git a/openkb/skill_validator.py b/openkb/skill_validator.py new file mode 100644 index 00000000..82de55d4 --- /dev/null +++ b/openkb/skill_validator.py @@ -0,0 +1,208 @@ +"""Deterministic structural validator for compiled skills. + +Pure Python — no LLM calls. Catches the common failure modes that would +make a skill un-loadable or misleading to the agents that install it: + + * SKILL.md missing or unparseable + * frontmatter missing required fields + * name field doesn't match directory or violates the slug rule + * description too long (> 1024 chars per Anthropic spec) + * files too big (SKILL.md > 50 KB / references/*.md > 100 KB) + * `[[references/...]]` wikilinks pointing at files that don't exist + * (strict mode) scripts/*.py importing non-stdlib modules + +This is the deterministic counterpart to ``openkb skill eval`` — eval +measures whether the description fires; validate ensures the structure +is well-formed. +""" +from __future__ import annotations + +import ast +import re +import sys +from dataclasses import dataclass, field +from pathlib import Path + +import yaml # already a project dep (pyyaml) + + +SKILL_NAME_RE = re.compile(r"^[a-z0-9]+(-[a-z0-9]+)*$") +DESCRIPTION_MAX_CHARS = 1024 +SKILL_MD_MAX_BYTES = 50 * 1024 +REFERENCE_MAX_BYTES = 100 * 1024 +NAME_MAX_LEN = 64 +WIKILINK_RE = re.compile(r"\[\[references/([a-z0-9._/-]+)\]\]", re.IGNORECASE) + + +@dataclass +class ValidationResult: + errors: list[str] = field(default_factory=list) + warnings: list[str] = field(default_factory=list) + + @property + def passed(self) -> bool: + return not self.errors + + @property + def passed_strict(self) -> bool: + return not self.errors and not self.warnings + + +def validate_skill(skill_dir: Path, *, strict: bool = False) -> ValidationResult: + """Run all structural checks on a single compiled skill directory. + + Args: + skill_dir: ``/output/skills/`` + strict: if True, warnings are surfaced; otherwise only errors + + Returns a ValidationResult. Use ``result.passed`` for the default + semantics (errors block, warnings don't); use ``result.passed_strict`` + when running ``--strict``. + """ + result = ValidationResult() + skill_dir = Path(skill_dir) + + if not skill_dir.is_dir(): + result.errors.append(f"Skill directory does not exist: {skill_dir}") + return result + + skill_md = skill_dir / "SKILL.md" + if not skill_md.exists(): + result.errors.append("Missing required file: SKILL.md") + return result + + # File size + skill_size = skill_md.stat().st_size + if skill_size > SKILL_MD_MAX_BYTES: + result.errors.append( + f"SKILL.md is {skill_size} bytes; max is {SKILL_MD_MAX_BYTES} bytes." + ) + + text = skill_md.read_text(encoding="utf-8") + + # Frontmatter + fm = _extract_frontmatter(text) + if fm is None: + result.errors.append( + "SKILL.md has no YAML frontmatter (must start with `---` ... `---`)." + ) + return result + + try: + meta = yaml.safe_load(fm) or {} + except yaml.YAMLError as exc: + result.errors.append(f"Frontmatter is not valid YAML: {exc}") + return result + + if not isinstance(meta, dict): + result.errors.append("Frontmatter must be a YAML mapping.") + return result + + # name field + name = meta.get("name") + if not name: + result.errors.append("Frontmatter is missing required field 'name:'.") + elif not isinstance(name, str): + result.errors.append("Frontmatter 'name:' must be a string.") + else: + if name != skill_dir.name: + result.errors.append( + f"Frontmatter 'name: {name}' doesn't match directory name " + f"'{skill_dir.name}'." + ) + if not SKILL_NAME_RE.match(name) or len(name) > NAME_MAX_LEN: + result.errors.append( + f"Frontmatter 'name: {name}' must be kebab-case " + f"(lowercase a-z0-9 + dashes), 1-{NAME_MAX_LEN} chars." + ) + + # description field + desc = meta.get("description") + if not desc: + result.errors.append("Frontmatter is missing required field 'description:'.") + elif not isinstance(desc, str): + result.errors.append("Frontmatter 'description:' must be a string.") + else: + if len(desc) > DESCRIPTION_MAX_CHARS: + result.errors.append( + f"Frontmatter 'description:' is {len(desc)} chars; " + f"max is {DESCRIPTION_MAX_CHARS} chars." + ) + if len(desc) < 20: + result.warnings.append( + f"Frontmatter 'description:' is only {len(desc)} chars — " + f"too short to be a useful activation signal." + ) + + # references/ wikilink resolution + wikilinks = WIKILINK_RE.findall(text) + refs_dir = skill_dir / "references" + for link in wikilinks: + # link may or may not include .md suffix + target = refs_dir / link + if not target.suffix: + target = target.with_suffix(".md") + if not target.exists(): + result.errors.append( + f"SKILL.md references [[references/{link}]] but " + f"{target.relative_to(skill_dir)} doesn't exist." + ) + + # references/*.md file sizes + if refs_dir.is_dir(): + for ref in refs_dir.rglob("*.md"): + size = ref.stat().st_size + if size > REFERENCE_MAX_BYTES: + result.errors.append( + f"{ref.relative_to(skill_dir)} is {size} bytes; " + f"max is {REFERENCE_MAX_BYTES} bytes." + ) + + # scripts/*.py imports — strict only + if strict: + scripts_dir = skill_dir / "scripts" + if scripts_dir.is_dir(): + for script in scripts_dir.rglob("*.py"): + bad = _non_stdlib_imports(script) + if bad: + result.warnings.append( + f"{script.relative_to(skill_dir)} imports non-stdlib " + f"modules: {', '.join(sorted(bad))}. Skill scripts run " + f"in unknown environments — prefer stdlib only." + ) + + return result + + +def _extract_frontmatter(text: str) -> str | None: + """Return the YAML body between the first two `---` lines, or None.""" + lines = text.splitlines() + if not lines or lines[0].strip() != "---": + return None + try: + end = lines.index("---", 1) + except ValueError: + return None + return "\n".join(lines[1:end]) + + +def _non_stdlib_imports(script: Path) -> set[str]: + """Return imported module names that aren't in the Python stdlib.""" + try: + tree = ast.parse(script.read_text(encoding="utf-8")) + except SyntaxError: + return {""} + stdlib = set(sys.stdlib_module_names) if hasattr(sys, "stdlib_module_names") else set() + bad: set[str] = set() + for node in ast.walk(tree): + if isinstance(node, ast.Import): + for alias in node.names: + root = alias.name.split(".")[0] + if stdlib and root not in stdlib: + bad.add(root) + elif isinstance(node, ast.ImportFrom): + if node.module: + root = node.module.split(".")[0] + if stdlib and root not in stdlib: + bad.add(root) + return bad diff --git a/tests/test_skill_cli.py b/tests/test_skill_cli.py index e570d000..6b2ea87e 100644 --- a/tests/test_skill_cli.py +++ b/tests/test_skill_cli.py @@ -252,6 +252,43 @@ def test_skill_rollback_errors_when_no_iterations(tmp_path): assert "No iterations" in result.output +def test_skill_validate_passes_on_valid_skill(tmp_path): + """`openkb skill validate ` exits 0 and prints OK for a well-formed skill.""" + kb = _make_kb(tmp_path) + target = kb / "output" / "skills" / "demo" + target.mkdir(parents=True) + (target / "SKILL.md").write_text( + "---\nname: demo\n" + "description: A useful and descriptive activation signal for this skill.\n" + "---\n\n# demo\n" + ) + + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + result = runner.invoke(cli, ["skill", "validate", "demo"]) + + assert result.exit_code == 0, result.output + assert "[OK]" in result.output + assert "demo" in result.output + + +def test_skill_validate_fails_on_invalid_frontmatter(tmp_path): + """`openkb skill validate ` exits non-zero on malformed YAML.""" + kb = _make_kb(tmp_path) + target = kb / "output" / "skills" / "broken" + target.mkdir(parents=True) + # No frontmatter at all — must error out. + (target / "SKILL.md").write_text("# just a body, no frontmatter\n") + + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb): + result = runner.invoke(cli, ["skill", "validate", "broken"]) + + assert result.exit_code != 0, result.output + assert "ERROR" in result.output + assert "[FAIL]" in result.output + + def test_skill_new_keeps_existing_skill_when_key_setup_fails(tmp_path): """If LLM key setup raises (e.g. no API key), the old skill output must be preserved — don't rmtree before key setup is verified.""" diff --git a/tests/test_skill_validator.py b/tests/test_skill_validator.py new file mode 100644 index 00000000..06fad87a --- /dev/null +++ b/tests/test_skill_validator.py @@ -0,0 +1,305 @@ +"""Unit tests for openkb.skill_validator — pure-Python structural checks +on a compiled skill directory. No LLM, no network.""" +from __future__ import annotations + +from pathlib import Path + +from openkb.skill_validator import ( + DESCRIPTION_MAX_CHARS, + REFERENCE_MAX_BYTES, + SKILL_MD_MAX_BYTES, + validate_skill, +) + + +# --------------------------------------------------------------------------- +# helpers +# --------------------------------------------------------------------------- + +def _write_skill( + parent: Path, + name: str, + *, + frontmatter: str | None = "default", + body: str = "# body\n", + refs: dict[str, str] | None = None, + scripts: dict[str, str] | None = None, + skill_md_bytes: int | None = None, +) -> Path: + """Create a skill directory with the requested contents. + + frontmatter: + "default" -> a valid minimal frontmatter with matching name + long desc + str -> use that exact frontmatter block (between --- markers) + None -> write the body with NO frontmatter at all + """ + skill_dir = parent / name + skill_dir.mkdir(parents=True, exist_ok=True) + if frontmatter == "default": + fm = f"name: {name}\ndescription: A useful and descriptive skill activation signal." + else: + fm = frontmatter + + if fm is None: + text = body + else: + text = f"---\n{fm}\n---\n\n{body}" + + if skill_md_bytes is not None: + text = text + ("x" * skill_md_bytes) + (skill_dir / "SKILL.md").write_text(text, encoding="utf-8") + + if refs: + refs_dir = skill_dir / "references" + refs_dir.mkdir(exist_ok=True) + for relpath, content in refs.items(): + target = refs_dir / relpath + target.parent.mkdir(parents=True, exist_ok=True) + target.write_text(content, encoding="utf-8") + + if scripts: + scripts_dir = skill_dir / "scripts" + scripts_dir.mkdir(exist_ok=True) + for relpath, content in scripts.items(): + target = scripts_dir / relpath + target.parent.mkdir(parents=True, exist_ok=True) + target.write_text(content, encoding="utf-8") + + return skill_dir + + +# --------------------------------------------------------------------------- +# happy path +# --------------------------------------------------------------------------- + +def test_minimal_valid_skill_passes(tmp_path): + sd = _write_skill(tmp_path, "demo-skill") + result = validate_skill(sd) + assert result.passed, result.errors + assert result.errors == [] + assert result.warnings == [] + + +# --------------------------------------------------------------------------- +# missing/structural errors +# --------------------------------------------------------------------------- + +def test_skill_directory_missing(tmp_path): + result = validate_skill(tmp_path / "nope") + assert not result.passed + assert any("does not exist" in e for e in result.errors) + + +def test_missing_skill_md(tmp_path): + sd = tmp_path / "empty-skill" + sd.mkdir() + result = validate_skill(sd) + assert not result.passed + assert any("SKILL.md" in e for e in result.errors) + + +def test_no_frontmatter(tmp_path): + sd = _write_skill(tmp_path, "no-fm", frontmatter=None, body="# just a body\n") + result = validate_skill(sd) + assert not result.passed + assert any("frontmatter" in e.lower() for e in result.errors) + + +def test_malformed_yaml(tmp_path): + sd = _write_skill(tmp_path, "bad-yaml", frontmatter="name: : : bad\n - oops\n[") + result = validate_skill(sd) + assert not result.passed + assert any("YAML" in e or "yaml" in e for e in result.errors) + + +def test_frontmatter_not_mapping(tmp_path): + sd = _write_skill(tmp_path, "list-fm", frontmatter="- one\n- two") + result = validate_skill(sd) + assert not result.passed + assert any("mapping" in e for e in result.errors) + + +# --------------------------------------------------------------------------- +# name field +# --------------------------------------------------------------------------- + +def test_name_mismatch_with_directory(tmp_path): + sd = _write_skill( + tmp_path, "dir-name", + frontmatter="name: other-name\ndescription: A nice long description here.", + ) + result = validate_skill(sd) + assert not result.passed + assert any("doesn't match directory" in e for e in result.errors) + + +def test_name_invalid_uppercase(tmp_path): + sd = tmp_path / "BadName" + sd.mkdir() + (sd / "SKILL.md").write_text( + "---\nname: BadName\ndescription: A nice long description here.\n---\n" + ) + result = validate_skill(sd) + assert not result.passed + assert any("kebab-case" in e for e in result.errors) + + +def test_name_invalid_underscore(tmp_path): + sd = tmp_path / "bad_name" + sd.mkdir() + (sd / "SKILL.md").write_text( + "---\nname: bad_name\ndescription: A nice long description here.\n---\n" + ) + result = validate_skill(sd) + assert not result.passed + assert any("kebab-case" in e for e in result.errors) + + +def test_name_missing(tmp_path): + sd = _write_skill( + tmp_path, "no-name-field", + frontmatter="description: A nice long description here.", + ) + result = validate_skill(sd) + assert not result.passed + assert any("name" in e for e in result.errors) + + +# --------------------------------------------------------------------------- +# description field +# --------------------------------------------------------------------------- + +def test_description_missing(tmp_path): + sd = _write_skill(tmp_path, "no-desc", frontmatter="name: no-desc") + result = validate_skill(sd) + assert not result.passed + assert any("description" in e for e in result.errors) + + +def test_description_too_long(tmp_path): + long_desc = "x" * (DESCRIPTION_MAX_CHARS + 1) + sd = _write_skill( + tmp_path, "long-desc", + frontmatter=f"name: long-desc\ndescription: {long_desc}", + ) + result = validate_skill(sd) + assert not result.passed + assert any("description" in e and "chars" in e for e in result.errors) + + +def test_description_too_short_is_warning_not_error(tmp_path): + sd = _write_skill( + tmp_path, "short-desc", + frontmatter="name: short-desc\ndescription: too short", + ) + result = validate_skill(sd) + # Errors should be empty — short desc is a warning, not blocking. + assert result.errors == [] + assert result.passed # passes default semantics + assert any("too short" in w for w in result.warnings) + assert not result.passed_strict # but fails under --strict + + +# --------------------------------------------------------------------------- +# file sizes +# --------------------------------------------------------------------------- + +def test_skill_md_too_big(tmp_path): + sd = _write_skill( + tmp_path, "big-skill", + skill_md_bytes=SKILL_MD_MAX_BYTES + 1, + ) + result = validate_skill(sd) + assert not result.passed + assert any("SKILL.md" in e and "bytes" in e for e in result.errors) + + +def test_reference_too_big(tmp_path): + big = "y" * (REFERENCE_MAX_BYTES + 1) + sd = _write_skill( + tmp_path, "big-ref", + refs={"huge.md": big}, + ) + result = validate_skill(sd) + assert not result.passed + assert any("huge.md" in e and "bytes" in e for e in result.errors) + + +# --------------------------------------------------------------------------- +# wikilinks +# --------------------------------------------------------------------------- + +def test_wikilink_resolves(tmp_path): + sd = _write_skill( + tmp_path, "with-ref", + body="See [[references/topic.md]] for details.\n", + refs={"topic.md": "# topic\n"}, + ) + result = validate_skill(sd) + assert result.passed, result.errors + + +def test_wikilink_missing_target(tmp_path): + sd = _write_skill( + tmp_path, "broken-ref", + body="See [[references/missing.md]] for details.\n", + ) + result = validate_skill(sd) + assert not result.passed + assert any("missing.md" in e for e in result.errors) + + +def test_wikilink_without_md_suffix_resolves(tmp_path): + sd = _write_skill( + tmp_path, "ref-no-suffix", + body="See [[references/topic]] for details.\n", + refs={"topic.md": "# topic\n"}, + ) + result = validate_skill(sd) + assert result.passed, result.errors + + +# --------------------------------------------------------------------------- +# scripts/ imports — strict mode only +# --------------------------------------------------------------------------- + +def test_scripts_stdlib_only_no_warning(tmp_path): + sd = _write_skill( + tmp_path, "stdlib-script", + scripts={"do.py": "import os\nimport sys\nfrom pathlib import Path\n"}, + ) + result = validate_skill(sd, strict=True) + assert result.passed_strict, (result.errors, result.warnings) + + +def test_scripts_non_stdlib_warning_only_in_strict(tmp_path): + sd = _write_skill( + tmp_path, "requests-script", + scripts={"fetch.py": "import requests\nimport os\n"}, + ) + + # Non-strict: no warning surfaced (we still pass). + result = validate_skill(sd, strict=False) + assert result.passed + assert result.warnings == [] + + # Strict: warning surfaced, fails strict. + result = validate_skill(sd, strict=True) + assert result.passed # no errors + assert not result.passed_strict + assert any("requests" in w for w in result.warnings) + + +# --------------------------------------------------------------------------- +# passed vs passed_strict semantics +# --------------------------------------------------------------------------- + +def test_passed_vs_passed_strict_semantics(tmp_path): + # Skill that has a warning (short desc) but no errors. + sd = _write_skill( + tmp_path, "warn-only", + frontmatter="name: warn-only\ndescription: short", + ) + result = validate_skill(sd) + assert result.passed is True + assert result.passed_strict is False From 6f70d022a92dcd88321382822ea3a60e913aae8d Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 16:19:00 +0800 Subject: [PATCH 21/35] feat(skill): trigger-accuracy evaluator (skill eval) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Borrows from Anthropic skill-creator's evaluation loop, simplified for v0.3: measure whether a skill's description: field actually fires when it should and stays quiet when it shouldn't. The description is the activation signal other agents read; a vague description silently fails to load when it ought to. Flow: 1. LLM generates N should-trigger + N should-not prompts from the description only 2. Grader LLM scores each: 'should this description activate this skill for this question?' 3. Compare to ground truth, print pass rate + misses New CLI: openkb skill eval run eval (10+10 default) openkb skill eval --save persist prompts to disk openkb skill eval --eval-set X reuse saved prompts openkb skill eval --count N override prompt count Tests mock Runner.run for both generator and grader — no real LLM calls in CI. Saved eval sets live at .openkb/eval-sets/.json for reproducibility. --- openkb/cli.py | 74 +++++++++++ openkb/skill_evaluator.py | 220 ++++++++++++++++++++++++++++++++ tests/test_skill_cli.py | 80 ++++++++++++ tests/test_skill_evaluator.py | 232 ++++++++++++++++++++++++++++++++++ 4 files changed, 606 insertions(+) create mode 100644 openkb/skill_evaluator.py create mode 100644 tests/test_skill_evaluator.py diff --git a/openkb/cli.py b/openkb/cli.py index 6e248f0f..75e2dce7 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -1720,3 +1720,77 @@ def skill_validate(ctx, name, strict): if any_failed: ctx.exit(1) + + +@skill.command("eval") +@click.argument("name") +@click.option( + "--save", "save_flag", is_flag=True, default=False, + help="Persist the generated eval set to .openkb/eval-sets/.json", +) +@click.option( + "--eval-set", "eval_set_path", default=None, type=click.Path(), + help="Use a saved eval set instead of generating fresh prompts.", +) +@click.option( + "--count", default=10, type=int, + help="Number of should-trigger + should-not prompts (each).", +) +@click.pass_context +def skill_eval(ctx, name, save_flag, eval_set_path, count): + """Measure how accurately a compiled skill's description fires. + + Generates trigger-eval prompts via LLM, then asks a grader LLM whether + the description should activate the skill for each prompt. Prints pass + rate + miss list. + """ + import asyncio + from openkb.skill_evaluator import ( + run_eval, save_eval_set, load_eval_set, EvalPrompt, + ) + + kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) + if kb_dir is None: + click.echo("No knowledge base found.", err=True) + ctx.exit(1) + + skill_dir = kb_dir / "output" / "skills" / name + if not skill_dir.is_dir(): + click.echo(f"[ERROR] Skill '{name}' not found.", err=True) + ctx.exit(1) + + _setup_llm_key(kb_dir) + config = load_config(kb_dir / ".openkb" / "config.yaml") + model = config.get("model", DEFAULT_CONFIG["model"]) + + eval_set: list[EvalPrompt] | None = None + if eval_set_path: + eval_set = load_eval_set(Path(eval_set_path)) + click.echo(f"Loaded eval set from {eval_set_path} ({len(eval_set)} prompts).") + else: + click.echo(f"Generating eval set for '{name}' (count={count} per side)...") + + try: + result = asyncio.run(run_eval( + skill_dir, model=model, eval_set=eval_set, count=count, + )) + except RuntimeError as exc: + click.echo(f"[ERROR] {exc}", err=True) + ctx.exit(1) + + click.echo(f"\nEval set: {result.total} prompts") + click.echo( + f"Pass rate: {result.passed}/{result.total} " + f"({result.pass_rate * 100:.0f}%)" + ) + + if result.misses: + click.echo(f"\nMisses ({len(result.misses)}):") + for miss in result.misses: + click.echo(f" - {miss.label} {miss.prompt.question}") + else: + click.echo("\nAll prompts graded correctly.") + + if save_flag and eval_set is None: + path = save_eval_set(kb_dir, name, result.prompts) + click.echo(f"\nEval set persisted to {path}") diff --git a/openkb/skill_evaluator.py b/openkb/skill_evaluator.py new file mode 100644 index 00000000..6aa9a15d --- /dev/null +++ b/openkb/skill_evaluator.py @@ -0,0 +1,220 @@ +"""Trigger-accuracy evaluator for compiled skills. + +The description: field in SKILL.md is the activation signal — it's what +other agents read to decide whether to load the skill for a given user +question. A vague or off-target description fails to fire when it should +(false negatives) or fires when it shouldn't (false positives). This +module catches both. + +Flow: + 1. Read description from the skill's SKILL.md frontmatter + 2. Ask a generator LLM: produce N should-trigger + N should-not prompts + based purely on the description (no other context) + 3. For each prompt, ask a grader LLM: "given just this description, + should an agent load this skill for this question? yes/no" + 4. Compare against expected labels (the ground truth from step 2) + 5. Report pass rate + the specific misses + +Uses the same LiteLLM model the rest of the KB uses (config.yaml). No +real LLM calls in tests — both generator and grader are patched. +""" +from __future__ import annotations + +import json +from dataclasses import dataclass, field +from pathlib import Path +from typing import Literal + +import yaml + +from agents import Agent, Runner +from agents.model_settings import ModelSettings + + +EVAL_DEFAULT_COUNT = 10 # 10 trigger + 10 no-trigger = 20 prompts + + +@dataclass +class EvalPrompt: + question: str + expected: Literal["trigger", "no-trigger"] + + +@dataclass +class EvalMiss: + prompt: EvalPrompt + graded: Literal["trigger", "no-trigger"] + + @property + def label(self) -> str: + return f"[{self.prompt.expected} -> graded {self.graded}]" + + +@dataclass +class EvalResult: + prompts: list[EvalPrompt] = field(default_factory=list) + misses: list[EvalMiss] = field(default_factory=list) + + @property + def total(self) -> int: + return len(self.prompts) + + @property + def passed(self) -> int: + return self.total - len(self.misses) + + @property + def pass_rate(self) -> float: + return self.passed / self.total if self.total else 0.0 + + +def _read_description(skill_dir: Path) -> str: + """Extract the description: field from SKILL.md frontmatter.""" + skill_md = skill_dir / "SKILL.md" + text = skill_md.read_text(encoding="utf-8") + lines = text.splitlines() + if not lines or lines[0].strip() != "---": + raise RuntimeError(f"{skill_md} has no YAML frontmatter.") + try: + end = lines.index("---", 1) + except ValueError: + raise RuntimeError(f"{skill_md} has no YAML frontmatter.") + meta = yaml.safe_load("\n".join(lines[1:end])) or {} + desc = meta.get("description") + if not isinstance(desc, str) or not desc: + raise RuntimeError(f"{skill_md} has no description: field.") + return desc + + +async def generate_eval_set( + skill_dir: Path, + *, + model: str, + count: int = EVAL_DEFAULT_COUNT, +) -> list[EvalPrompt]: + """Use an LLM to generate ``count`` should-trigger + ``count`` should-not + eval prompts based on the skill's description. + """ + desc = _read_description(skill_dir) + + instructions = ( + "You are designing an evaluation set for a knowledge-base skill. " + f"The skill's activation description is:\n\n" + f" {desc}\n\n" + f"Produce exactly {count} 'should-trigger' user questions (questions where " + f"an agent SHOULD load this skill to answer well) and exactly {count} " + f"'should-not' user questions (plausible-sounding questions about other " + f"topics where this skill is NOT the right tool).\n\n" + f"Output ONLY a JSON object with this exact shape:\n" + f' {{"should_trigger": [...{count} strings...], ' + f'"should_not": [...{count} strings...]}}\n\n' + f"No prose. No markdown. Just the JSON object." + ) + + agent = Agent( + name="eval-set-generator", + instructions=instructions, + model=f"litellm/{model}", + model_settings=ModelSettings(parallel_tool_calls=False), + ) + result = await Runner.run(agent, "Generate the eval set now.", max_turns=3) + raw = (result.final_output or "").strip() + + # Strip optional code fence + if raw.startswith("```"): + raw = raw.split("\n", 1)[1].rsplit("```", 1)[0].strip() + if raw.startswith("json"): + raw = raw[4:].lstrip() + + data = json.loads(raw) + prompts: list[EvalPrompt] = [] + for q in data.get("should_trigger", []): + prompts.append(EvalPrompt(question=q, expected="trigger")) + for q in data.get("should_not", []): + prompts.append(EvalPrompt(question=q, expected="no-trigger")) + return prompts + + +async def grade_one( + description: str, + question: str, + *, + model: str, +) -> Literal["trigger", "no-trigger"]: + """Ask the grader LLM whether the description suggests this skill + should be loaded for the given question.""" + instructions = ( + "You are deciding whether an agent should load a specific skill to " + "answer a user question. You will be given the skill's activation " + "description and a single user question. Answer with one word: " + "TRIGGER (load the skill) or NO-TRIGGER (don't load).\n\n" + f"Skill description:\n {description}\n\n" + "Reply with exactly one of: TRIGGER, NO-TRIGGER." + ) + agent = Agent( + name="trigger-grader", + instructions=instructions, + model=f"litellm/{model}", + model_settings=ModelSettings(parallel_tool_calls=False), + ) + result = await Runner.run(agent, f"Question: {question}", max_turns=2) + raw = (result.final_output or "").strip().upper() + if "NO-TRIGGER" in raw or "NO TRIGGER" in raw: + return "no-trigger" + if "TRIGGER" in raw: + return "trigger" + # Default: assume no-trigger on ambiguous output + return "no-trigger" + + +async def run_eval( + skill_dir: Path, + *, + model: str, + eval_set: list[EvalPrompt] | None = None, + count: int = EVAL_DEFAULT_COUNT, +) -> EvalResult: + """Run a trigger-accuracy evaluation. + + Args: + skill_dir: ``/output/skills/`` + model: LiteLLM model string from KB config + eval_set: pre-generated prompts; if None, generate fresh + count: how many should-trigger + should-not prompts to generate + """ + if eval_set is None: + eval_set = await generate_eval_set(skill_dir, model=model, count=count) + + desc = _read_description(skill_dir) + result = EvalResult(prompts=eval_set) + for prompt in eval_set: + graded = await grade_one(desc, prompt.question, model=model) + if graded != prompt.expected: + result.misses.append(EvalMiss(prompt=prompt, graded=graded)) + return result + + +def save_eval_set( + kb_dir: Path, skill_name: str, prompts: list[EvalPrompt], +) -> Path: + """Persist an eval set to ``/.openkb/eval-sets/.json``.""" + out_dir = kb_dir / ".openkb" / "eval-sets" + out_dir.mkdir(parents=True, exist_ok=True) + out_path = out_dir / f"{skill_name}.json" + data = { + "should_trigger": [p.question for p in prompts if p.expected == "trigger"], + "should_not": [p.question for p in prompts if p.expected == "no-trigger"], + } + out_path.write_text(json.dumps(data, indent=2) + "\n", encoding="utf-8") + return out_path + + +def load_eval_set(path: Path) -> list[EvalPrompt]: + """Load an eval set previously saved via ``save_eval_set``.""" + data = json.loads(Path(path).read_text(encoding="utf-8")) + out: list[EvalPrompt] = [] + for q in data.get("should_trigger", []): + out.append(EvalPrompt(question=q, expected="trigger")) + for q in data.get("should_not", []): + out.append(EvalPrompt(question=q, expected="no-trigger")) + return out diff --git a/tests/test_skill_cli.py b/tests/test_skill_cli.py index 6b2ea87e..7d42297a 100644 --- a/tests/test_skill_cli.py +++ b/tests/test_skill_cli.py @@ -306,3 +306,83 @@ def test_skill_new_keeps_existing_skill_when_key_setup_fails(tmp_path): assert result.exit_code != 0 # Old skill must still be there assert (target / "stale.txt").read_text() == "priceless" + + +# -------------------------------------------------------------------------- +# `openkb skill eval` — trigger-accuracy evaluator +# -------------------------------------------------------------------------- + +def _make_skill_dir(kb_dir, name="demo", description="Triggers for demo questions."): + """Create a minimal compiled skill on disk under /output/skills/.""" + skill_dir = kb_dir / "output" / "skills" / name + skill_dir.mkdir(parents=True, exist_ok=True) + (skill_dir / "SKILL.md").write_text( + f"---\nname: {name}\ndescription: {description}\n---\n\n# {name}\n", + encoding="utf-8", + ) + return skill_dir + + +def test_skill_eval_runs_with_provided_eval_set(tmp_path): + """Pass a pre-saved eval set + a perfect-grader mock — expect 100% pass.""" + kb = _make_kb(tmp_path) + _make_skill_dir(kb, "demo") + + # Save an eval set we can point --eval-set at. + eval_dir = kb / ".openkb" / "eval-sets" + eval_dir.mkdir(parents=True) + eval_path = eval_dir / "demo.json" + eval_path.write_text(json.dumps({ + "should_trigger": ["t0", "t1"], + "should_not": ["n0", "n1"], + })) + + async def perfect_grader(description, question, *, model): + return "trigger" if question.startswith("t") else "no-trigger" + + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb), \ + patch("openkb.cli._setup_llm_key", return_value=None), \ + patch("openkb.skill_evaluator.grade_one", side_effect=perfect_grader): + result = runner.invoke(cli, [ + "skill", "eval", "demo", "--eval-set", str(eval_path), + ]) + + assert result.exit_code == 0, result.output + assert "Pass rate" in result.output + assert "4/4" in result.output + assert "100%" in result.output + assert "All prompts graded correctly" in result.output + + +def test_skill_eval_reports_misses(tmp_path): + """Grader always returns 'trigger' — the no-trigger half must show as misses.""" + kb = _make_kb(tmp_path) + _make_skill_dir(kb, "demo") + + eval_dir = kb / ".openkb" / "eval-sets" + eval_dir.mkdir(parents=True) + eval_path = eval_dir / "demo.json" + eval_path.write_text(json.dumps({ + "should_trigger": ["t0", "t1"], + "should_not": ["n0", "n1"], + })) + + async def biased_grader(description, question, *, model): + return "trigger" + + runner = CliRunner() + with patch("openkb.cli._find_kb_dir", return_value=kb), \ + patch("openkb.cli._setup_llm_key", return_value=None), \ + patch("openkb.skill_evaluator.grade_one", side_effect=biased_grader): + result = runner.invoke(cli, [ + "skill", "eval", "demo", "--eval-set", str(eval_path), + ]) + + assert result.exit_code == 0, result.output + assert "Pass rate" in result.output + assert "2/4" in result.output + assert "Misses (2)" in result.output + # Each missed prompt must be listed in the output + assert "n0" in result.output + assert "n1" in result.output diff --git a/tests/test_skill_evaluator.py b/tests/test_skill_evaluator.py new file mode 100644 index 00000000..3863051e --- /dev/null +++ b/tests/test_skill_evaluator.py @@ -0,0 +1,232 @@ +"""Tests for openkb.skill_evaluator. + +The Runner.run call is mocked everywhere — no real LLM tokens spent. +What we DO verify: + * Description extraction from SKILL.md frontmatter + * Generator output parsing (with + without code fences) + * Grader response handling (uppercase / lowercase / ambiguous) + * End-to-end run_eval with mocked grading + * Save/load round-trip for persisted eval sets +""" +from __future__ import annotations + +import json +from pathlib import Path +from types import SimpleNamespace +from unittest.mock import AsyncMock, patch + +import pytest + +from openkb.skill_evaluator import ( + EvalMiss, + EvalPrompt, + EvalResult, + _read_description, + generate_eval_set, + grade_one, + load_eval_set, + run_eval, + save_eval_set, +) + + +def _make_skill(tmp_path: Path, *, description: str | None = "Triggers for foo questions.") -> Path: + """Create a minimal SKILL.md and return the skill directory.""" + skill_dir = tmp_path / "output" / "skills" / "demo" + skill_dir.mkdir(parents=True) + if description is None: + body = "---\nname: demo\n---\n\n# demo\n" + else: + body = f"---\nname: demo\ndescription: {description}\n---\n\n# demo\n" + (skill_dir / "SKILL.md").write_text(body, encoding="utf-8") + return skill_dir + + +# -------- _read_description --------------------------------------------------- + + +def test_read_description_extracts_field(tmp_path): + skill_dir = _make_skill(tmp_path, description="Distill thoughts about transformers.") + assert _read_description(skill_dir) == "Distill thoughts about transformers." + + +def test_read_description_raises_on_missing_frontmatter(tmp_path): + skill_dir = tmp_path / "output" / "skills" / "demo" + skill_dir.mkdir(parents=True) + (skill_dir / "SKILL.md").write_text("# demo\n\nNo frontmatter at all.\n") + with pytest.raises(RuntimeError, match="frontmatter"): + _read_description(skill_dir) + + +def test_read_description_raises_on_missing_description_field(tmp_path): + skill_dir = _make_skill(tmp_path, description=None) + with pytest.raises(RuntimeError, match="description"): + _read_description(skill_dir) + + +# -------- generate_eval_set --------------------------------------------------- + + +def _fake_generator_payload(count: int = 10) -> str: + trig = [f"trigger question {i}" for i in range(count)] + no = [f"unrelated question {i}" for i in range(count)] + return json.dumps({"should_trigger": trig, "should_not": no}) + + +@pytest.mark.asyncio +async def test_generate_eval_set_parses_plain_json(tmp_path): + skill_dir = _make_skill(tmp_path) + + async def fake_runner(*args, **kwargs): + return SimpleNamespace(final_output=_fake_generator_payload(10)) + + with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + prompts = await generate_eval_set(skill_dir, model="gpt-4o-mini", count=10) + + assert len(prompts) == 20 + assert sum(1 for p in prompts if p.expected == "trigger") == 10 + assert sum(1 for p in prompts if p.expected == "no-trigger") == 10 + assert prompts[0].question == "trigger question 0" + assert prompts[10].question == "unrelated question 0" + + +@pytest.mark.asyncio +async def test_generate_eval_set_strips_code_fences(tmp_path): + skill_dir = _make_skill(tmp_path) + fenced = "```json\n" + _fake_generator_payload(3) + "\n```" + + async def fake_runner(*args, **kwargs): + return SimpleNamespace(final_output=fenced) + + with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + prompts = await generate_eval_set(skill_dir, model="gpt-4o-mini", count=3) + + assert len(prompts) == 6 + + +# -------- grade_one ----------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_grade_one_returns_trigger_for_trigger_response(): + async def fake_runner(*args, **kwargs): + return SimpleNamespace(final_output="TRIGGER") + + with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + out = await grade_one("desc", "question?", model="gpt-4o-mini") + assert out == "trigger" + + +@pytest.mark.asyncio +async def test_grade_one_returns_no_trigger_for_negative_response(): + async def fake_runner(*args, **kwargs): + return SimpleNamespace(final_output="NO-TRIGGER") + + with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + out = await grade_one("desc", "question?", model="gpt-4o-mini") + assert out == "no-trigger" + + +@pytest.mark.asyncio +async def test_grade_one_handles_mixed_case(): + async def fake_runner(*args, **kwargs): + return SimpleNamespace(final_output="trigger") + + with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + out = await grade_one("desc", "question?", model="gpt-4o-mini") + assert out == "trigger" + + +@pytest.mark.asyncio +async def test_grade_one_handles_space_variant(): + async def fake_runner(*args, **kwargs): + return SimpleNamespace(final_output="No Trigger") + + with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + out = await grade_one("desc", "question?", model="gpt-4o-mini") + assert out == "no-trigger" + + +@pytest.mark.asyncio +async def test_grade_one_defaults_to_no_trigger_on_ambiguous_output(): + async def fake_runner(*args, **kwargs): + return SimpleNamespace(final_output="hmm not sure") + + with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + out = await grade_one("desc", "question?", model="gpt-4o-mini") + assert out == "no-trigger" + + +# -------- run_eval ------------------------------------------------------------ + + +def _build_eval_set(n_trig: int = 3, n_no: int = 3) -> list[EvalPrompt]: + prompts: list[EvalPrompt] = [] + for i in range(n_trig): + prompts.append(EvalPrompt(question=f"trig {i}", expected="trigger")) + for i in range(n_no): + prompts.append(EvalPrompt(question=f"no {i}", expected="no-trigger")) + return prompts + + +@pytest.mark.asyncio +async def test_run_eval_happy_path_all_correct(tmp_path): + skill_dir = _make_skill(tmp_path) + eval_set = _build_eval_set(3, 3) + + async def fake_grade(description, question, *, model): + # Return the ground truth label — perfect grader. + match = next(p for p in eval_set if p.question == question) + return match.expected + + with patch("openkb.skill_evaluator.grade_one", side_effect=fake_grade): + result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) + + assert isinstance(result, EvalResult) + assert result.total == 6 + assert result.passed == 6 + assert result.pass_rate == 1.0 + assert result.misses == [] + + +@pytest.mark.asyncio +async def test_run_eval_reports_misses(tmp_path): + skill_dir = _make_skill(tmp_path) + eval_set = _build_eval_set(3, 3) + + # Grader always says "trigger" — so the 3 no-trigger prompts will miss. + async def fake_grade(description, question, *, model): + return "trigger" + + with patch("openkb.skill_evaluator.grade_one", side_effect=fake_grade): + result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) + + assert result.total == 6 + assert result.passed == 3 + assert len(result.misses) == 3 + assert all(m.prompt.expected == "no-trigger" for m in result.misses) + assert all(m.graded == "trigger" for m in result.misses) + assert result.pass_rate == pytest.approx(0.5) + # EvalMiss.label sanity check + assert "no-trigger" in result.misses[0].label + assert "trigger" in result.misses[0].label + + +# -------- save/load round-trip ------------------------------------------------ + + +def test_save_and_load_eval_set_round_trip(tmp_path): + prompts = _build_eval_set(2, 2) + path = save_eval_set(tmp_path, "demo", prompts) + + assert path == tmp_path / ".openkb" / "eval-sets" / "demo.json" + assert path.is_file() + + data = json.loads(path.read_text()) + assert data["should_trigger"] == ["trig 0", "trig 1"] + assert data["should_not"] == ["no 0", "no 1"] + + loaded = load_eval_set(path) + assert len(loaded) == 4 + assert [p.question for p in loaded if p.expected == "trigger"] == ["trig 0", "trig 1"] + assert [p.question for p in loaded if p.expected == "no-trigger"] == ["no 0", "no 1"] From a5fe56715cda7a70a2f007849c1b448b2ddf0c31 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 16:20:18 +0800 Subject: [PATCH 22/35] docs(readme): document validate / eval / history / rollback commands MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Skill Factory section now lists the 4 quality-gate commands borrowed from Codex (validate) and Anthropic skill-creator (eval + iteration): openkb skill validate structural lint (frontmatter, sizes, refs) openkb skill eval trigger-accuracy test of the description openkb skill history list past iterations openkb skill rollback restore a previous iteration The slogan promised a 'digital expert' — these commands are what makes the output worth that label. --- README.md | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/README.md b/README.md index a8010e02..3b0f0052 100644 --- a/README.md +++ b/README.md @@ -186,6 +186,9 @@ A "generator" reads from the compiled wiki and produces something usable: an ans | openkb query "question" | A grounded answer with citations (use `--save` to persist to `wiki/explorations/`) | | `openkb chat` | Interactive multi-turn session over the wiki (use `--resume`, `--list`, `--delete` to manage sessions) | | openkb skill new <name> "<intent>" | A redistributable Anthropic Skill at `/output/skills//` + auto-updated `marketplace.json` | +| openkb skill validate [name] | Structural lint of compiled skills (frontmatter, file sizes, wikilinks, scripts/ stdlib check with `--strict`). Auto-runs at end of `skill new` | +| openkb skill eval <name> | Trigger-accuracy evaluation — does the `description:` field actually fire? LLM generates eval prompts; grader LLM scores activation. `--save` persists the eval set | +| openkb skill history <name> / openkb skill rollback <name> | Iteration workspace — every overwrite saves the previous version to `output/skills/-workspace/iteration-N/` with a structural diff. Rollback restores any iteration | ### Query & Chat — ask the wiki @@ -256,6 +259,21 @@ npx skills@latest add / [agent edits SKILL.md frontmatter in place] ``` +**Quality gates** — borrowing from [Codex skill-creator](https://github.com/openai/skills) (structural validation) and [Anthropic skill-creator](https://github.com/anthropics/skills/tree/main/skills/skill-creator) (trigger-accuracy evals): + +```bash +# Lint structure (auto-runs at end of `skill new`) +openkb skill validate karpathy-thinking +openkb skill validate --strict # treat warnings as failures + +# Does the description actually fire when it should? +openkb skill eval karpathy-thinking --save + +# History + rollback if a new iteration regresses +openkb skill history karpathy-thinking +openkb skill rollback karpathy-thinking --to 2 +``` + See [CONTRIBUTING.md](CONTRIBUTING.md) for how to submit your compiled skill back to the community registry at [VectifyAI/OpenKB](https://github.com/VectifyAI/OpenKB). ### Configuration From bc916bc2cb25a091a3172335f49209de2671c93d Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 16:39:45 +0800 Subject: [PATCH 23/35] fix(skill): round-2 review fixes + drop community docs Code review round-2 flagged the eval pipeline reintroducing the MaxTurnsExceeded/JSONDecodeError traceback leak that round-1 caught for skill new. Apply the same shim inside skill_evaluator + 4 other carryover items: - Translate MaxTurnsExceeded and json.JSONDecodeError to RuntimeError inside generate_eval_set and grade_one. CLI catch (RuntimeError) now covers both. - Wrap _setup_llm_key in skill_eval with the same try/except/exit pattern as skill_new / query / chat. - Move openkb/skill_evaluator.py -> openkb/agent/skill_evaluator.py. Modules that construct Agent live under openkb/agent/ per repo convention; top-level openkb/ keeps marketplace + generator (no agents SDK). - Validator: reject '<' / '>' in description (Anthropic parser requirement); warn on unknown frontmatter keys (Anthropic spec allows a fixed set). - Drop redundant in-function 'import asyncio' from skill_eval (already at module top). - Drop unused EvalMiss import from tests. - Validator module docstring updated to enumerate all checks. Also delete community contribution scaffolding (CONTRIBUTING.md + .github/PULL_REQUEST_TEMPLATE/skill_submission.md) - premature for the project's current stage; will revisit when real contributors arrive. --- .../PULL_REQUEST_TEMPLATE/skill_submission.md | 22 ------ CONTRIBUTING.md | 71 ------------------- README.md | 2 - openkb/{ => agent}/skill_evaluator.py | 27 ++++++- openkb/cli.py | 9 ++- openkb/skill_validator.py | 32 +++++++-- tests/test_skill_cli.py | 4 +- tests/test_skill_evaluator.py | 56 +++++++++++---- tests/test_skill_validator.py | 32 +++++++++ 9 files changed, 134 insertions(+), 121 deletions(-) delete mode 100644 .github/PULL_REQUEST_TEMPLATE/skill_submission.md delete mode 100644 CONTRIBUTING.md rename openkb/{ => agent}/skill_evaluator.py (87%) diff --git a/.github/PULL_REQUEST_TEMPLATE/skill_submission.md b/.github/PULL_REQUEST_TEMPLATE/skill_submission.md deleted file mode 100644 index a413744a..00000000 --- a/.github/PULL_REQUEST_TEMPLATE/skill_submission.md +++ /dev/null @@ -1,22 +0,0 @@ -## Skill submission - -- **Name:** `` -- **What it does (one sentence):** -- **Source material:** - -### Checklist - -- [ ] I have the right to redistribute the source material this skill is - derived from (public, my own work, properly licensed, or fair-use - methodology only — not bulk-copied copyrighted text). -- [ ] `SKILL.md` has valid YAML frontmatter with `name:` and `description:` - (description ≤ 1024 chars). -- [ ] All `[[references/...]]` links resolve. -- [ ] I added an entry under `plugins[0].skills` in - `.claude-plugin/marketplace.json`. -- [ ] I installed and tested this skill locally in at least one agent CLI - (Claude Code / Codex CLI / Gemini CLI / Cursor). - -### Notes for reviewers - - diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md deleted file mode 100644 index dfbb7eb2..00000000 --- a/CONTRIBUTING.md +++ /dev/null @@ -1,71 +0,0 @@ -# Contributing to OpenKB - -Thanks for your interest in OpenKB! There are two ways to contribute: code (bug -fixes, new features) and skills (compiled knowledge artifacts). - -## Code contributions - -Standard GitHub workflow: - -1. Fork the repo and create a feature branch off `main`. -2. Add tests for any new behaviour. Run `uv run pytest` to verify they pass. -3. Open a PR with a clear description and link to any related issues. -4. Address review feedback. A maintainer will merge once everything looks good. - -## Submitting a skill - -OpenKB doubles as a registry for compiled-knowledge skills. The `skills/` -directory in this repo hosts the official `openkb` skill plus -community-contributed skills installable via: - -```bash -npx skills@latest add VectifyAI/OpenKB -``` - -To submit your skill: - -### 1. Compile and test locally - -```bash -cd -openkb skill new "" -cp -r output/skills/ ~/.claude/skills/ -# Verify the skill activates in a Claude Code session on a relevant question -``` - -### 2. Open a PR against this repo - -1. Fork `VectifyAI/OpenKB`. -2. Copy your skill into the fork at `skills//`. -3. Add a new entry under `plugins[0].skills` in `.claude-plugin/marketplace.json`: - ```json - "./skills/" - ``` -4. Open a PR with the "Skill submission" template (auto-applied when you create - the PR). - -### 3. Review - -A maintainer will review your submission against this checklist: - -- `SKILL.md` has a valid YAML frontmatter with `name:` and `description:` - (description ≤ 1024 characters). -- The `description` is specific (not "a skill about X"). -- All `[[references/...]]` links resolve to files you actually included. -- Skill name doesn't clash with an existing entry. -- No obvious copyright-infringing content (large verbatim copies of recent - copyrighted books or papers without authorisation). - -You're responsible for confirming you have rights to redistribute the source -material your skill is derived from. The PR template includes a checkbox for -this. - -### What makes a good community skill - -- **Methodology-focused**, not bulk-copied content. "How to reason about X" - beats "the full text of X". -- **Specific scope** so the `description:` field can be precise enough that - loading agents pick it up at the right time. -- **Tested in at least one agent CLI** before submission. - -Thanks for sharing what you've compiled! diff --git a/README.md b/README.md index 3b0f0052..5497ec4a 100644 --- a/README.md +++ b/README.md @@ -274,8 +274,6 @@ openkb skill history karpathy-thinking openkb skill rollback karpathy-thinking --to 2 ``` -See [CONTRIBUTING.md](CONTRIBUTING.md) for how to submit your compiled skill back to the community registry at [VectifyAI/OpenKB](https://github.com/VectifyAI/OpenKB). - ### Configuration Settings are initialized by `openkb init`, and stored in `.openkb/config.yaml`: diff --git a/openkb/skill_evaluator.py b/openkb/agent/skill_evaluator.py similarity index 87% rename from openkb/skill_evaluator.py rename to openkb/agent/skill_evaluator.py index 6aa9a15d..979df4f0 100644 --- a/openkb/skill_evaluator.py +++ b/openkb/agent/skill_evaluator.py @@ -117,7 +117,14 @@ async def generate_eval_set( model=f"litellm/{model}", model_settings=ModelSettings(parallel_tool_calls=False), ) - result = await Runner.run(agent, "Generate the eval set now.", max_turns=3) + from agents.exceptions import MaxTurnsExceeded + try: + result = await Runner.run(agent, "Generate the eval set now.", max_turns=3) + except MaxTurnsExceeded as exc: + raise RuntimeError( + "Eval set generation hit the max-turn cap. The model may be " + "looping; try a different model or a smaller --count." + ) from exc raw = (result.final_output or "").strip() # Strip optional code fence @@ -126,7 +133,14 @@ async def generate_eval_set( if raw.startswith("json"): raw = raw[4:].lstrip() - data = json.loads(raw) + try: + data = json.loads(raw) + except json.JSONDecodeError as exc: + raise RuntimeError( + f"Eval set generator returned non-JSON output: {exc.msg}. " + f"Try a more capable model — small models often ignore " + f"'output only JSON' instructions. First 200 chars: {raw[:200]!r}" + ) from exc prompts: list[EvalPrompt] = [] for q in data.get("should_trigger", []): prompts.append(EvalPrompt(question=q, expected="trigger")) @@ -157,7 +171,14 @@ async def grade_one( model=f"litellm/{model}", model_settings=ModelSettings(parallel_tool_calls=False), ) - result = await Runner.run(agent, f"Question: {question}", max_turns=2) + from agents.exceptions import MaxTurnsExceeded + try: + result = await Runner.run(agent, f"Question: {question}", max_turns=2) + except MaxTurnsExceeded as exc: + raise RuntimeError( + f"Trigger grader hit the max-turn cap on question: {question!r}. " + f"Try a more capable model." + ) from exc raw = (result.final_output or "").strip().upper() if "NO-TRIGGER" in raw or "NO TRIGGER" in raw: return "no-trigger" diff --git a/openkb/cli.py b/openkb/cli.py index 75e2dce7..84718543 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -1744,8 +1744,7 @@ def skill_eval(ctx, name, save_flag, eval_set_path, count): the description should activate the skill for each prompt. Prints pass rate + miss list. """ - import asyncio - from openkb.skill_evaluator import ( + from openkb.agent.skill_evaluator import ( run_eval, save_eval_set, load_eval_set, EvalPrompt, ) @@ -1759,7 +1758,11 @@ def skill_eval(ctx, name, save_flag, eval_set_path, count): click.echo(f"[ERROR] Skill '{name}' not found.", err=True) ctx.exit(1) - _setup_llm_key(kb_dir) + try: + _setup_llm_key(kb_dir) + except RuntimeError as exc: + click.echo(f"[ERROR] {exc}", err=True) + ctx.exit(1) config = load_config(kb_dir / ".openkb" / "config.yaml") model = config.get("model", DEFAULT_CONFIG["model"]) diff --git a/openkb/skill_validator.py b/openkb/skill_validator.py index 82de55d4..aecff89f 100644 --- a/openkb/skill_validator.py +++ b/openkb/skill_validator.py @@ -4,12 +4,15 @@ make a skill un-loadable or misleading to the agents that install it: * SKILL.md missing or unparseable - * frontmatter missing required fields - * name field doesn't match directory or violates the slug rule - * description too long (> 1024 chars per Anthropic spec) - * files too big (SKILL.md > 50 KB / references/*.md > 100 KB) - * `[[references/...]]` wikilinks pointing at files that don't exist - * (strict mode) scripts/*.py importing non-stdlib modules + * frontmatter present, parses as YAML, is a mapping + * required fields: name (matches dir + slug regex), description + * description length within bounds (warns < 20 chars, errors > 1024) + * description must not contain '<' or '>' (breaks activation parser) + * frontmatter keys limited to the Anthropic Skills allowed set + (warns on unknown keys; matches Anthropic's quick_validate.py) + * files within size limits (SKILL.md ≤ 50 KB / references/*.md ≤ 100 KB) + * `[[references/...]]` wikilinks resolve to actual files + * (strict mode) scripts/*.py imports only stdlib modules This is the deterministic counterpart to ``openkb skill eval`` — eval measures whether the description fires; validate ensures the structure @@ -32,6 +35,9 @@ REFERENCE_MAX_BYTES = 100 * 1024 NAME_MAX_LEN = 64 WIKILINK_RE = re.compile(r"\[\[references/([a-z0-9._/-]+)\]\]", re.IGNORECASE) +ALLOWED_FRONTMATTER_KEYS = { + "name", "description", "license", "allowed-tools", "metadata", "compatibility", +} @dataclass @@ -98,6 +104,15 @@ def validate_skill(skill_dir: Path, *, strict: bool = False) -> ValidationResult result.errors.append("Frontmatter must be a YAML mapping.") return result + extras = set(meta.keys()) - ALLOWED_FRONTMATTER_KEYS + if extras: + # Treat as warning, not error — keeps strict mode user-controllable + result.warnings.append( + f"Frontmatter contains unknown keys: {sorted(extras)}. " + f"Anthropic Skills spec only allows: " + f"{sorted(ALLOWED_FRONTMATTER_KEYS)}." + ) + # name field name = meta.get("name") if not name: @@ -133,6 +148,11 @@ def validate_skill(skill_dir: Path, *, strict: bool = False) -> ValidationResult f"Frontmatter 'description:' is only {len(desc)} chars — " f"too short to be a useful activation signal." ) + if "<" in desc or ">" in desc: + result.errors.append( + "Frontmatter 'description:' must not contain '<' or '>' " + "characters — they break the activation parser in Claude Code." + ) # references/ wikilink resolution wikilinks = WIKILINK_RE.findall(text) diff --git a/tests/test_skill_cli.py b/tests/test_skill_cli.py index 7d42297a..086eacb9 100644 --- a/tests/test_skill_cli.py +++ b/tests/test_skill_cli.py @@ -343,7 +343,7 @@ async def perfect_grader(description, question, *, model): runner = CliRunner() with patch("openkb.cli._find_kb_dir", return_value=kb), \ patch("openkb.cli._setup_llm_key", return_value=None), \ - patch("openkb.skill_evaluator.grade_one", side_effect=perfect_grader): + patch("openkb.agent.skill_evaluator.grade_one", side_effect=perfect_grader): result = runner.invoke(cli, [ "skill", "eval", "demo", "--eval-set", str(eval_path), ]) @@ -374,7 +374,7 @@ async def biased_grader(description, question, *, model): runner = CliRunner() with patch("openkb.cli._find_kb_dir", return_value=kb), \ patch("openkb.cli._setup_llm_key", return_value=None), \ - patch("openkb.skill_evaluator.grade_one", side_effect=biased_grader): + patch("openkb.agent.skill_evaluator.grade_one", side_effect=biased_grader): result = runner.invoke(cli, [ "skill", "eval", "demo", "--eval-set", str(eval_path), ]) diff --git a/tests/test_skill_evaluator.py b/tests/test_skill_evaluator.py index 3863051e..01826f76 100644 --- a/tests/test_skill_evaluator.py +++ b/tests/test_skill_evaluator.py @@ -1,4 +1,4 @@ -"""Tests for openkb.skill_evaluator. +"""Tests for openkb.agent.skill_evaluator. The Runner.run call is mocked everywhere — no real LLM tokens spent. What we DO verify: @@ -17,8 +17,7 @@ import pytest -from openkb.skill_evaluator import ( - EvalMiss, +from openkb.agent.skill_evaluator import ( EvalPrompt, EvalResult, _read_description, @@ -80,7 +79,7 @@ async def test_generate_eval_set_parses_plain_json(tmp_path): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output=_fake_generator_payload(10)) - with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): prompts = await generate_eval_set(skill_dir, model="gpt-4o-mini", count=10) assert len(prompts) == 20 @@ -98,7 +97,7 @@ async def test_generate_eval_set_strips_code_fences(tmp_path): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output=fenced) - with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): prompts = await generate_eval_set(skill_dir, model="gpt-4o-mini", count=3) assert len(prompts) == 6 @@ -112,7 +111,7 @@ async def test_grade_one_returns_trigger_for_trigger_response(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="TRIGGER") - with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): out = await grade_one("desc", "question?", model="gpt-4o-mini") assert out == "trigger" @@ -122,7 +121,7 @@ async def test_grade_one_returns_no_trigger_for_negative_response(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="NO-TRIGGER") - with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): out = await grade_one("desc", "question?", model="gpt-4o-mini") assert out == "no-trigger" @@ -132,7 +131,7 @@ async def test_grade_one_handles_mixed_case(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="trigger") - with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): out = await grade_one("desc", "question?", model="gpt-4o-mini") assert out == "trigger" @@ -142,7 +141,7 @@ async def test_grade_one_handles_space_variant(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="No Trigger") - with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): out = await grade_one("desc", "question?", model="gpt-4o-mini") assert out == "no-trigger" @@ -152,7 +151,7 @@ async def test_grade_one_defaults_to_no_trigger_on_ambiguous_output(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="hmm not sure") - with patch("openkb.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): out = await grade_one("desc", "question?", model="gpt-4o-mini") assert out == "no-trigger" @@ -179,7 +178,7 @@ async def fake_grade(description, question, *, model): match = next(p for p in eval_set if p.question == question) return match.expected - with patch("openkb.skill_evaluator.grade_one", side_effect=fake_grade): + with patch("openkb.agent.skill_evaluator.grade_one", side_effect=fake_grade): result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) assert isinstance(result, EvalResult) @@ -198,7 +197,7 @@ async def test_run_eval_reports_misses(tmp_path): async def fake_grade(description, question, *, model): return "trigger" - with patch("openkb.skill_evaluator.grade_one", side_effect=fake_grade): + with patch("openkb.agent.skill_evaluator.grade_one", side_effect=fake_grade): result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) assert result.total == 6 @@ -230,3 +229,36 @@ def test_save_and_load_eval_set_round_trip(tmp_path): assert len(loaded) == 4 assert [p.question for p in loaded if p.expected == "trigger"] == ["trig 0", "trig 1"] assert [p.question for p in loaded if p.expected == "no-trigger"] == ["no 0", "no 1"] + + +# -------- RuntimeError translation for CLI catch ------------------------------- + + +@pytest.mark.asyncio +async def test_generate_eval_set_translates_max_turns_to_runtime_error(tmp_path): + """MaxTurnsExceeded from Runner.run should become RuntimeError.""" + from agents.exceptions import MaxTurnsExceeded + + skill_dir = _make_skill(tmp_path) + + async def fake_runner(*args, **kwargs): + raise MaxTurnsExceeded("ran out") + + with patch("openkb.agent.skill_evaluator.Runner.run", + new=AsyncMock(side_effect=fake_runner)): + with pytest.raises(RuntimeError, match="max-turn cap"): + await generate_eval_set(skill_dir, model="gpt-4o-mini") + + +@pytest.mark.asyncio +async def test_generate_eval_set_translates_malformed_json_to_runtime_error(tmp_path): + """Non-JSON LLM output should produce a friendly RuntimeError.""" + skill_dir = _make_skill(tmp_path) + + async def fake_runner(*args, **kwargs): + return SimpleNamespace(final_output="this is not json at all") + + with patch("openkb.agent.skill_evaluator.Runner.run", + new=AsyncMock(side_effect=fake_runner)): + with pytest.raises(RuntimeError, match="non-JSON output"): + await generate_eval_set(skill_dir, model="gpt-4o-mini") diff --git a/tests/test_skill_validator.py b/tests/test_skill_validator.py index 06fad87a..b59b6d31 100644 --- a/tests/test_skill_validator.py +++ b/tests/test_skill_validator.py @@ -303,3 +303,35 @@ def test_passed_vs_passed_strict_semantics(tmp_path): result = validate_skill(sd) assert result.passed is True assert result.passed_strict is False + + +# --------------------------------------------------------------------------- +# new round-2 checks: angle brackets in description + unknown frontmatter keys +# --------------------------------------------------------------------------- + +def test_validator_rejects_angle_brackets_in_description(tmp_path): + """Anthropic's activation parser breaks on < or > in description.""" + sd = _write_skill( + tmp_path, "demo", + frontmatter="name: demo\ndescription: Reason about here.", + ) + result = validate_skill(sd) + assert not result.passed + assert any("'<' or '>'" in e for e in result.errors) + + +def test_validator_warns_on_unknown_frontmatter_keys(tmp_path): + """Anthropic spec only allows a fixed set of frontmatter keys.""" + sd = _write_skill( + tmp_path, "demo", + frontmatter=( + "name: demo\ndescription: A valid description string here.\n" + "random_key: foo\nanother_one: bar" + ), + ) + result = validate_skill(sd) + # Passes in default (warnings only) + assert result.passed + # But strict mode catches it + assert not result.passed_strict + assert any("unknown keys" in w for w in result.warnings) From a4e29b1c4007197ef989594876c31f2bf9b6e803 Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 16:47:20 +0800 Subject: [PATCH 24/35] refactor(skill): consolidate skill modules under openkb/skill/ All skill-related code now lives in a single openkb/skill/ subpackage (7 modules + __init__). Drop the redundant 'skill_' prefix on filenames since the package qualifies them already. Moves: openkb/generator.py -> openkb/skill/generator.py openkb/marketplace.py -> openkb/skill/marketplace.py openkb/skill_validator.py -> openkb/skill/validator.py openkb/skill_workspace.py -> openkb/skill/workspace.py openkb/agent/skill_creator.py -> openkb/skill/creator.py openkb/agent/skill_tools.py -> openkb/skill/tools.py openkb/agent/skill_evaluator.py -> openkb/skill/evaluator.py generator.py + marketplace.py go under skill/ for now (v0.x only has skills); they're nominally generic primitives but YAGNI -- when a second artifact type (ppt / podcast / report) actually lands, those two will move back out to openkb//. No behavioral changes. All imports + test patch targets updated. Test suite stays at 494 passed. --- openkb/agent/chat.py | 2 +- openkb/cli.py | 16 ++++++------ openkb/skill/__init__.py | 8 ++++++ .../skill_creator.py => skill/creator.py} | 2 +- .../skill_evaluator.py => skill/evaluator.py} | 0 openkb/{ => skill}/generator.py | 6 ++--- openkb/{ => skill}/marketplace.py | 0 .../{agent/skill_tools.py => skill/tools.py} | 2 +- .../validator.py} | 0 .../workspace.py} | 0 tests/test_generator.py | 8 +++--- tests/test_marketplace.py | 4 +-- tests/test_skill_chat_slash.py | 2 +- tests/test_skill_cli.py | 10 +++---- tests/test_skill_creator.py | 10 +++---- tests/test_skill_evaluator.py | 26 +++++++++---------- tests/test_skill_tools.py | 4 +-- tests/test_skill_validator.py | 4 +-- tests/test_skill_workspace.py | 4 +-- 19 files changed, 58 insertions(+), 50 deletions(-) create mode 100644 openkb/skill/__init__.py rename openkb/{agent/skill_creator.py => skill/creator.py} (99%) rename openkb/{agent/skill_evaluator.py => skill/evaluator.py} (100%) rename openkb/{ => skill}/generator.py (92%) rename openkb/{ => skill}/marketplace.py (100%) rename openkb/{agent/skill_tools.py => skill/tools.py} (96%) rename openkb/{skill_validator.py => skill/validator.py} (100%) rename openkb/{skill_workspace.py => skill/workspace.py} (100%) diff --git a/openkb/agent/chat.py b/openkb/agent/chat.py index afabc745..a2763a73 100644 --- a/openkb/agent/chat.py +++ b/openkb/agent/chat.py @@ -542,7 +542,7 @@ async def _handle_slash_skill(arg: str, kb_dir: Path, style: Style) -> None: config = load_config(kb_dir / ".openkb" / "config.yaml") model = config.get("model", DEFAULT_CONFIG["model"]) - from openkb.generator import Generator + from openkb.skill.generator import Generator _fmt(style, ("class:slash.help", f"Compiling skill '{name}'...\n")) try: gen = Generator( diff --git a/openkb/cli.py b/openkb/cli.py index 84718543..79370741 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -1466,7 +1466,7 @@ def skill_new(ctx, name, intent, yes_flag): # into /output/skills/-workspace/iteration-N/ first, so # the user can roll back via `openkb skill rollback`. See # ``openkb/skill_workspace.py``. - from openkb.skill_workspace import save_iteration, write_diff + from openkb.skill.workspace import save_iteration, write_diff target = kb_dir / "output" / "skills" / name saved_iteration: Path | None = None @@ -1492,7 +1492,7 @@ def skill_new(ctx, name, intent, yes_flag): ctx.exit(1) # Run the generator - from openkb.generator import Generator + from openkb.skill.generator import Generator click.echo(f"Compiling skill '{name}'...") try: gen = Generator( @@ -1519,7 +1519,7 @@ def skill_new(ctx, name, intent, yes_flag): # Auto-validate the freshly compiled skill. Surface issues but don't # block — files are on disk and the user can fix or rollback. - from openkb.skill_validator import validate_skill + from openkb.skill.validator import validate_skill skill_dir = kb_dir / "output" / "skills" / name result = validate_skill(skill_dir) if result.errors or result.warnings: @@ -1551,7 +1551,7 @@ def skill_history(ctx, name): """List previous iterations of a skill.""" import datetime as _dt - from openkb.skill_workspace import list_iterations + from openkb.skill.workspace import list_iterations kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) if kb_dir is None: @@ -1611,8 +1611,8 @@ def skill_history(ctx, name): @click.pass_context def skill_rollback(ctx, name, to_n, yes_flag): """Restore a previous iteration as the current skill.""" - from openkb.marketplace import regenerate_marketplace - from openkb.skill_workspace import list_iterations, restore_iteration + from openkb.skill.marketplace import regenerate_marketplace + from openkb.skill.workspace import list_iterations, restore_iteration kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) if kb_dir is None: @@ -1681,7 +1681,7 @@ def skill_rollback(ctx, name, to_n, yes_flag): @click.pass_context def skill_validate(ctx, name, strict): """Validate one skill (by name) or all compiled skills in this KB.""" - from openkb.skill_validator import validate_skill + from openkb.skill.validator import validate_skill kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) if kb_dir is None: @@ -1744,7 +1744,7 @@ def skill_eval(ctx, name, save_flag, eval_set_path, count): the description should activate the skill for each prompt. Prints pass rate + miss list. """ - from openkb.agent.skill_evaluator import ( + from openkb.skill.evaluator import ( run_eval, save_eval_set, load_eval_set, EvalPrompt, ) diff --git a/openkb/skill/__init__.py b/openkb/skill/__init__.py new file mode 100644 index 00000000..53b8c9c3 --- /dev/null +++ b/openkb/skill/__init__.py @@ -0,0 +1,8 @@ +"""All skill-related code (generator, marketplace, agent runtime, validator, +workspace, evaluator) lives in this subpackage. + +Today's only artifact type is ``skill``; the generator + marketplace +abstractions are nominally generic, but in v0.x they only serve skill +artifacts. If/when ppt / podcast / report targets land, factor the +generic primitives back out to ``openkb//`` at that time. +""" diff --git a/openkb/agent/skill_creator.py b/openkb/skill/creator.py similarity index 99% rename from openkb/agent/skill_creator.py rename to openkb/skill/creator.py index 2e023c4e..d8db0314 100644 --- a/openkb/agent/skill_creator.py +++ b/openkb/skill/creator.py @@ -18,7 +18,7 @@ from agents import Agent, Runner, function_tool from agents.model_settings import ModelSettings -from openkb.agent.skill_tools import ( +from openkb.skill.tools import ( list_wiki_dir as _list_wiki_dir_impl, read_wiki_file_for_skill as _read_wiki_file_impl, write_skill_file as _write_skill_file_impl, diff --git a/openkb/agent/skill_evaluator.py b/openkb/skill/evaluator.py similarity index 100% rename from openkb/agent/skill_evaluator.py rename to openkb/skill/evaluator.py diff --git a/openkb/generator.py b/openkb/skill/generator.py similarity index 92% rename from openkb/generator.py rename to openkb/skill/generator.py index 843a1b06..1517aa8b 100644 --- a/openkb/generator.py +++ b/openkb/skill/generator.py @@ -9,15 +9,15 @@ distribution mechanic as skills) Each target plugs in its own `run` coroutine. v0.1's only entry calls into -``openkb.agent.skill_creator.run_skill_create``. +``openkb.skill.creator.run_skill_create``. """ from __future__ import annotations from pathlib import Path from typing import Literal -from openkb.agent.skill_creator import run_skill_create -from openkb.marketplace import regenerate_marketplace +from openkb.skill.creator import run_skill_create +from openkb.skill.marketplace import regenerate_marketplace TargetType = Literal["skill"] # extend as new targets land diff --git a/openkb/marketplace.py b/openkb/skill/marketplace.py similarity index 100% rename from openkb/marketplace.py rename to openkb/skill/marketplace.py diff --git a/openkb/agent/skill_tools.py b/openkb/skill/tools.py similarity index 96% rename from openkb/agent/skill_tools.py rename to openkb/skill/tools.py index 3b7c736e..357b3a29 100644 --- a/openkb/agent/skill_tools.py +++ b/openkb/skill/tools.py @@ -2,7 +2,7 @@ The skill-create agent runs with three capabilities: * READ from /wiki/** (the substrate) - * QUERY the wiki via openkb query (semantic retrieval, see skill_creator.py) + * QUERY the wiki via openkb query (semantic retrieval, see creator.py) * WRITE under /output/skills//** (the only output destination) These helpers enforce those boundaries at the Python level — every tool diff --git a/openkb/skill_validator.py b/openkb/skill/validator.py similarity index 100% rename from openkb/skill_validator.py rename to openkb/skill/validator.py diff --git a/openkb/skill_workspace.py b/openkb/skill/workspace.py similarity index 100% rename from openkb/skill_workspace.py rename to openkb/skill/workspace.py diff --git a/tests/test_generator.py b/tests/test_generator.py index 1ef179f5..37d574f3 100644 --- a/tests/test_generator.py +++ b/tests/test_generator.py @@ -1,4 +1,4 @@ -"""Tests for openkb.generator.Generator — the v0.1 abstraction that will +"""Tests for openkb.skill.generator.Generator — the v0.1 abstraction that will be reused by future ppt / podcast generators. In v0.1, only target_type='skill' is supported. We test the dispatch shape @@ -8,7 +8,7 @@ import pytest from unittest.mock import AsyncMock, patch -from openkb.generator import Generator +from openkb.skill.generator import Generator def _make_kb(tmp_path): @@ -53,8 +53,8 @@ async def test_generator_run_delegates_to_skill_creator(tmp_path): kb_dir=kb, model="gpt-4o-mini", ) - with patch("openkb.generator.run_skill_create", new=AsyncMock()) as runner, \ - patch("openkb.generator.regenerate_marketplace") as regen: + with patch("openkb.skill.generator.run_skill_create", new=AsyncMock()) as runner, \ + patch("openkb.skill.generator.regenerate_marketplace") as regen: await g.run() runner.assert_awaited_once() regen.assert_called_once_with(kb) diff --git a/tests/test_marketplace.py b/tests/test_marketplace.py index a34c34ba..b122f6b7 100644 --- a/tests/test_marketplace.py +++ b/tests/test_marketplace.py @@ -1,11 +1,11 @@ -"""Tests for openkb.marketplace — regenerate /.claude-plugin/marketplace.json +"""Tests for openkb.skill.marketplace — regenerate /.claude-plugin/marketplace.json from /output/skills/*/SKILL.md.""" from __future__ import annotations import json import textwrap -from openkb.marketplace import regenerate_marketplace +from openkb.skill.marketplace import regenerate_marketplace def _make_kb(tmp_path): diff --git a/tests/test_skill_chat_slash.py b/tests/test_skill_chat_slash.py index 100135a2..d99dd152 100644 --- a/tests/test_skill_chat_slash.py +++ b/tests/test_skill_chat_slash.py @@ -36,7 +36,7 @@ async def fake_run(kb_dir, skill_name, intent, model): f"---\nname: {skill_name}\ndescription: t\n---\n\n# {skill_name}\n" ) - with patch("openkb.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): + with patch("openkb.skill.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): action = await _handle_slash( '/skill new demo "test intent"', kb, session, style ) diff --git a/tests/test_skill_cli.py b/tests/test_skill_cli.py index 086eacb9..b8575327 100644 --- a/tests/test_skill_cli.py +++ b/tests/test_skill_cli.py @@ -42,7 +42,7 @@ async def fake_run(kb_dir, skill_name, intent, model): _fake_compile(kb_dir, skill_name) with patch("openkb.cli._find_kb_dir", return_value=kb), \ - patch("openkb.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): + patch("openkb.skill.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): result = runner.invoke(cli, ["skill", "new", "demo", "test intent"]) assert result.exit_code == 0, result.output @@ -123,7 +123,7 @@ async def fake_run(kb_dir, skill_name, intent, model): _fake_compile(kb_dir, skill_name) with patch("openkb.cli._find_kb_dir", return_value=kb), \ - patch("openkb.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): + patch("openkb.skill.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): result = runner.invoke(cli, ["skill", "new", "demo", "x", "-y"]) assert result.exit_code == 0, result.output @@ -147,7 +147,7 @@ async def fake_run(kb_dir, skill_name, intent, model): _fake_compile(kb_dir, skill_name) with patch("openkb.cli._find_kb_dir", return_value=kb), \ - patch("openkb.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): + patch("openkb.skill.generator.run_skill_create", new=AsyncMock(side_effect=fake_run)): result = runner.invoke(cli, ["skill", "new", "demo", "x", "-y"]) assert result.exit_code == 0, result.output @@ -343,7 +343,7 @@ async def perfect_grader(description, question, *, model): runner = CliRunner() with patch("openkb.cli._find_kb_dir", return_value=kb), \ patch("openkb.cli._setup_llm_key", return_value=None), \ - patch("openkb.agent.skill_evaluator.grade_one", side_effect=perfect_grader): + patch("openkb.skill.evaluator.grade_one", side_effect=perfect_grader): result = runner.invoke(cli, [ "skill", "eval", "demo", "--eval-set", str(eval_path), ]) @@ -374,7 +374,7 @@ async def biased_grader(description, question, *, model): runner = CliRunner() with patch("openkb.cli._find_kb_dir", return_value=kb), \ patch("openkb.cli._setup_llm_key", return_value=None), \ - patch("openkb.agent.skill_evaluator.grade_one", side_effect=biased_grader): + patch("openkb.skill.evaluator.grade_one", side_effect=biased_grader): result = runner.invoke(cli, [ "skill", "eval", "demo", "--eval-set", str(eval_path), ]) diff --git a/tests/test_skill_creator.py b/tests/test_skill_creator.py index e166c418..5783d628 100644 --- a/tests/test_skill_creator.py +++ b/tests/test_skill_creator.py @@ -1,4 +1,4 @@ -"""Tests for openkb.agent.skill_creator. +"""Tests for openkb.skill.creator. The agent itself is mocked (we don't want to spend tokens in unit tests). What we DO test: @@ -15,7 +15,7 @@ import pytest from unittest.mock import AsyncMock, patch -from openkb.agent.skill_creator import ( +from openkb.skill.creator import ( build_skill_create_agent, run_skill_create, ) @@ -56,7 +56,7 @@ async def fake_runner(*args, **kwargs): from types import SimpleNamespace return SimpleNamespace(final_output="done") - with patch("openkb.agent.skill_creator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.skill.creator.Runner.run", new=AsyncMock(side_effect=fake_runner)): await run_skill_create( kb_dir=kb, skill_name="demo", @@ -77,7 +77,7 @@ async def fake_runner(*args, **kwargs): from types import SimpleNamespace return SimpleNamespace(final_output="done") - with patch("openkb.agent.skill_creator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.skill.creator.Runner.run", new=AsyncMock(side_effect=fake_runner)): with pytest.raises(RuntimeError, match="did not write SKILL.md"): await run_skill_create( kb_dir=kb, @@ -98,7 +98,7 @@ async def test_run_skill_create_translates_max_turns_to_runtime_error(tmp_path): async def fake_runner(*args, **kwargs): raise MaxTurnsExceeded("agent ran out of turns") - with patch("openkb.agent.skill_creator.Runner.run", + with patch("openkb.skill.creator.Runner.run", new=AsyncMock(side_effect=fake_runner)): with pytest.raises(RuntimeError, match="step cap"): await run_skill_create( diff --git a/tests/test_skill_evaluator.py b/tests/test_skill_evaluator.py index 01826f76..840bbbfa 100644 --- a/tests/test_skill_evaluator.py +++ b/tests/test_skill_evaluator.py @@ -1,4 +1,4 @@ -"""Tests for openkb.agent.skill_evaluator. +"""Tests for openkb.skill.evaluator. The Runner.run call is mocked everywhere — no real LLM tokens spent. What we DO verify: @@ -17,7 +17,7 @@ import pytest -from openkb.agent.skill_evaluator import ( +from openkb.skill.evaluator import ( EvalPrompt, EvalResult, _read_description, @@ -79,7 +79,7 @@ async def test_generate_eval_set_parses_plain_json(tmp_path): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output=_fake_generator_payload(10)) - with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): prompts = await generate_eval_set(skill_dir, model="gpt-4o-mini", count=10) assert len(prompts) == 20 @@ -97,7 +97,7 @@ async def test_generate_eval_set_strips_code_fences(tmp_path): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output=fenced) - with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): prompts = await generate_eval_set(skill_dir, model="gpt-4o-mini", count=3) assert len(prompts) == 6 @@ -111,7 +111,7 @@ async def test_grade_one_returns_trigger_for_trigger_response(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="TRIGGER") - with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): out = await grade_one("desc", "question?", model="gpt-4o-mini") assert out == "trigger" @@ -121,7 +121,7 @@ async def test_grade_one_returns_no_trigger_for_negative_response(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="NO-TRIGGER") - with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): out = await grade_one("desc", "question?", model="gpt-4o-mini") assert out == "no-trigger" @@ -131,7 +131,7 @@ async def test_grade_one_handles_mixed_case(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="trigger") - with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): out = await grade_one("desc", "question?", model="gpt-4o-mini") assert out == "trigger" @@ -141,7 +141,7 @@ async def test_grade_one_handles_space_variant(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="No Trigger") - with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): out = await grade_one("desc", "question?", model="gpt-4o-mini") assert out == "no-trigger" @@ -151,7 +151,7 @@ async def test_grade_one_defaults_to_no_trigger_on_ambiguous_output(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="hmm not sure") - with patch("openkb.agent.skill_evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): out = await grade_one("desc", "question?", model="gpt-4o-mini") assert out == "no-trigger" @@ -178,7 +178,7 @@ async def fake_grade(description, question, *, model): match = next(p for p in eval_set if p.question == question) return match.expected - with patch("openkb.agent.skill_evaluator.grade_one", side_effect=fake_grade): + with patch("openkb.skill.evaluator.grade_one", side_effect=fake_grade): result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) assert isinstance(result, EvalResult) @@ -197,7 +197,7 @@ async def test_run_eval_reports_misses(tmp_path): async def fake_grade(description, question, *, model): return "trigger" - with patch("openkb.agent.skill_evaluator.grade_one", side_effect=fake_grade): + with patch("openkb.skill.evaluator.grade_one", side_effect=fake_grade): result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) assert result.total == 6 @@ -244,7 +244,7 @@ async def test_generate_eval_set_translates_max_turns_to_runtime_error(tmp_path) async def fake_runner(*args, **kwargs): raise MaxTurnsExceeded("ran out") - with patch("openkb.agent.skill_evaluator.Runner.run", + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): with pytest.raises(RuntimeError, match="max-turn cap"): await generate_eval_set(skill_dir, model="gpt-4o-mini") @@ -258,7 +258,7 @@ async def test_generate_eval_set_translates_malformed_json_to_runtime_error(tmp_ async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="this is not json at all") - with patch("openkb.agent.skill_evaluator.Runner.run", + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): with pytest.raises(RuntimeError, match="non-JSON output"): await generate_eval_set(skill_dir, model="gpt-4o-mini") diff --git a/tests/test_skill_tools.py b/tests/test_skill_tools.py index f5db686d..99f07ee4 100644 --- a/tests/test_skill_tools.py +++ b/tests/test_skill_tools.py @@ -1,7 +1,7 @@ -"""Tests for openkb.agent.skill_tools — path-scoped IO for the skill-create agent.""" +"""Tests for openkb.skill.tools — path-scoped IO for the skill-create agent.""" from __future__ import annotations -from openkb.agent.skill_tools import ( +from openkb.skill.tools import ( list_wiki_dir, read_wiki_file_for_skill, write_skill_file, diff --git a/tests/test_skill_validator.py b/tests/test_skill_validator.py index b59b6d31..39952fc9 100644 --- a/tests/test_skill_validator.py +++ b/tests/test_skill_validator.py @@ -1,10 +1,10 @@ -"""Unit tests for openkb.skill_validator — pure-Python structural checks +"""Unit tests for openkb.skill.validator — pure-Python structural checks on a compiled skill directory. No LLM, no network.""" from __future__ import annotations from pathlib import Path -from openkb.skill_validator import ( +from openkb.skill.validator import ( DESCRIPTION_MAX_CHARS, REFERENCE_MAX_BYTES, SKILL_MD_MAX_BYTES, diff --git a/tests/test_skill_workspace.py b/tests/test_skill_workspace.py index ac4b5af7..2fb9a157 100644 --- a/tests/test_skill_workspace.py +++ b/tests/test_skill_workspace.py @@ -1,11 +1,11 @@ -"""Tests for :mod:`openkb.skill_workspace` — iteration save/restore + diff.""" +"""Tests for :mod:`openkb.skill.workspace` — iteration save/restore + diff.""" from __future__ import annotations from pathlib import Path import pytest -from openkb.skill_workspace import ( +from openkb.skill.workspace import ( list_iterations, restore_iteration, save_iteration, From 1679c8cedac512583003e0d18b0ef19b07cd84db Mon Sep 17 00:00:00 2001 From: mountain Date: Mon, 18 May 2026 19:47:39 +0800 Subject: [PATCH 25/35] docs(readme): drop duplicate Features section MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The Features list at the top duplicated everything already covered by Quick Start (step-by-step feature tour) + Usage (Wiki Foundation + Generators tables). It also duplicated the Skill Factory slogan that now lives canonically in the Skill Factory subsection. Replace 17 lines with a one-sentence pointer to Usage. 405 → 389 lines. Slogan now appears exactly once (in the Skill Factory subsection) instead of 5 places. Other duplicates (PageIndex mentions, cross-CLI install instructions, Karpathy comparison table) left for now — they target different audiences (scanners vs deep readers) and aren't worth touching in this pass. --- README.md | 18 +----------------- 1 file changed, 1 insertion(+), 17 deletions(-) diff --git a/README.md b/README.md index 5497ec4a..f9c73619 100644 --- a/README.md +++ b/README.md @@ -22,23 +22,7 @@ The idea is based on a [concept](https://x.com/karpathy/status/20398056595256445 Traditional RAG rediscovers knowledge from scratch on every query. Nothing accumulates. OpenKB compiles knowledge once into a persistent wiki, then keeps it current. Cross-references already exist. Contradictions are flagged. Synthesis reflects everything consumed. -### Features - -OpenKB has two layers: a **wiki foundation** that compiles and maintains your knowledge, and **generators** that turn that wiki into useful artifacts. - -**Wiki foundation** — compile and maintain -- **Broad format support** — PDF, Word, Markdown, PowerPoint, HTML, Excel, text, and more via markitdown -- **Scale to long documents** — Handled via [PageIndex](https://github.com/VectifyAI/PageIndex) tree indexing, enabling accurate, vectorless long-context retrieval -- **Native multi-modality** — Retrieves and understands figures, tables, and images, not just text -- **Compiled Wiki** — LLM compiles documents into summaries, concept pages, and cross-links, all kept in sync -- **Lint** — Health checks find contradictions, gaps, orphans, and stale content -- **Watch mode** — Drop files into `raw/`, wiki updates automatically -- **Obsidian compatible** — Wiki is plain `.md` files with `[[wikilinks]]`. Open in Obsidian for graph view and browsing - -**Generators** — turn the wiki into something useful -- **Query** — Ask questions (one-off) against your wiki. The LLM navigates compiled knowledge to answer -- **Chat** — Multi-turn conversations with persisted sessions you can resume across runs -- **Skill Factory** — *Drop in a book. Out comes a digital expert.* Compile any subset of your wiki into a redistributable [Anthropic Skill](https://docs.claude.com/en/docs/build-with-claude/skills) installable in Claude Code / Codex / Gemini CLI / Cursor +OpenKB has two layers: a **wiki foundation** that compiles and maintains your knowledge, and **generators** (query / chat / Skill Factory) that turn it into useful output. See [Usage](#️-usage) for the full command list. # 🚀 Getting Started From ce918cfd70a68fac7fa2df0454bc4ca9f5e56263 Mon Sep 17 00:00:00 2001 From: mountain Date: Wed, 20 May 2026 10:33:47 +0800 Subject: [PATCH 26/35] feat(skill): deepen compile pipeline + design-consistency cleanup MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Two rounds of review fixes on top of the skill factory. Design consistency (from PR-level review): - workspace: restore_iteration now saves the current skill before overwriting, matching skill new's reversibility invariant — a user who edits files in chat then rolls back keeps those edits as a new iteration - generator: validate_skill moved inside Generator.run() so /skill new in chat gets the same quality gate as openkb skill new (was CLI-only) - skill/__init__: single-source path helpers (skills_root / skill_dir / skill_workspace_dir) and frontmatter parser (extract_frontmatter / extract_description). Removes duplicated path construction across 6+ sites and four divergent frontmatter implementations - cli/chat: route every "output/skills/" construction through the helper; add missing "Run openkb init first." hint to skill validate / skill eval; capitalize /skill autocomplete; fix stale comment Skills domain quality (the compile pipeline can actually distill now): - creator/tools: skill agent gets the query agent's deep-retrieval toolset — get_page_content for page-range source reads on PageIndex docs, get_image for figures. query_wiki demoted to narrow follow-ups only; primary traversal is direct file reads - skill_create.md: rewritten end-to-end. Working method now mirrors query's 6-step strategy (survey -> summaries -> sources via full_text pointer -> concepts -> draft -> review-and-revise). Required output adds a "Core decision rules" section (>=5 if-X-then-Y rules) and a "Known gaps" section. Description-writing rules optimize for trigger predicate (situations, keywords, exclusions), not topic accuracy - evaluator: was a tautology (generator and grader both saw only the description -> a LOREM IPSUM body could pass 100%). Now the generator reads body + reference excerpts so prompts reflect actual claims, and a second grader (grade_coverage) checks whether the body has substance to support what the description promises. CLI surfaces both Trigger accuracy and Body coverage - validator: foreign-wikilink gate. SKILL.md and references/*.md cannot contain [[concepts/]] / [[summaries/]] / [[sources/]] — those point at the producer's wiki, which doesn't ship; on the consumer's machine they are dead links plus wasted context tokens. Only [[references/]] (which ships with the skill) is valid - prompt's source-use rules: paraphrase, short quotes <=40 words, no bulk copying; provenance audit is the producer's responsibility at compile time, not something to ship in the artifact Tests: +9 new (rollback preservation, body-coverage grader, foreign wikilink detection in body and references). 504 passing. --- openkb/agent/chat.py | 31 +++-- openkb/cli.py | 82 +++++++----- openkb/prompts/skill_create.md | 195 +++++++++++++++++++++++------ openkb/skill/__init__.py | 74 +++++++++++ openkb/skill/creator.py | 63 ++++++++-- openkb/skill/evaluator.py | 221 ++++++++++++++++++++++++++++----- openkb/skill/generator.py | 19 ++- openkb/skill/marketplace.py | 30 +---- openkb/skill/tools.py | 44 ++++++- openkb/skill/validator.py | 47 +++++-- openkb/skill/workspace.py | 45 ++----- tests/test_skill_cli.py | 20 ++- tests/test_skill_evaluator.py | 77 +++++++++++- tests/test_skill_validator.py | 73 +++++++++++ tests/test_skill_workspace.py | 18 +++ 15 files changed, 833 insertions(+), 206 deletions(-) diff --git a/openkb/agent/chat.py b/openkb/agent/chat.py index a2763a73..8e0d603f 100644 --- a/openkb/agent/chat.py +++ b/openkb/agent/chat.py @@ -215,7 +215,7 @@ def _bottom_toolbar(session: ChatSession) -> FormattedText: ("/list", "List all documents"), ("/lint", "Lint the knowledge base"), ("/add", "Add a document or directory"), - ("/skill", "compile a skill (try `/skill new \"intent\"`)"), + ("/skill", "Compile a skill (try `/skill new \"intent\"`)"), ] @@ -530,7 +530,8 @@ async def _handle_slash_skill(arg: str, kb_dir: Path, style: Style) -> None: _fmt(style, ("class:error", f"[ERROR] {err}\n")) return - target = kb_dir / "output" / "skills" / name + from openkb.skill import skill_dir + target = skill_dir(kb_dir, name) if target.exists(): _fmt(style, ("class:error", f"[ERROR] output/skills/{name}/ already exists. Remove it first " @@ -544,19 +545,31 @@ async def _handle_slash_skill(arg: str, kb_dir: Path, style: Style) -> None: from openkb.skill.generator import Generator _fmt(style, ("class:slash.help", f"Compiling skill '{name}'...\n")) + gen = Generator( + target_type="skill", + name=name, + intent=intent, + kb_dir=kb_dir, + model=model, + ) try: - gen = Generator( - target_type="skill", - name=name, - intent=intent, - kb_dir=kb_dir, - model=model, - ) await gen.run() except RuntimeError as exc: _fmt(style, ("class:error", f"[ERROR] {exc}\n")) return + # Surface validation issues from Generator.run (same gate as CLI). + result = gen.validation + if result is not None and (result.errors or result.warnings): + _fmt(style, ("class:error", "[WARN] Validation found issues:\n")) + for err in result.errors: + _fmt(style, ("class:error", f" ERROR: {err}\n")) + for warn in result.warnings: + _fmt(style, ("class:error", f" WARN: {warn}\n")) + _fmt(style, ("class:slash.help", + f"Run `openkb skill validate {name}` to re-check, or " + f"`openkb skill rollback {name}` to revert.\n")) + _fmt(style, ("class:slash.ok", f"Saved: output/skills/{name}/\n")) _fmt(style, ("class:slash.help", f"Iterate: ask follow-up questions in this chat and the agent can " diff --git a/openkb/cli.py b/openkb/cli.py index 79370741..2668214a 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -206,7 +206,9 @@ def _preflight_skill_new(kb_dir: Path, name: str) -> str | None: def _clear_existing_skill_dir(kb_dir: Path, name: str) -> None: """Delete an existing ``/output/skills//`` directory.""" - target = kb_dir / "output" / "skills" / name + from openkb.skill import skill_dir + + target = skill_dir(kb_dir, name) if target.exists(): shutil.rmtree(target) @@ -1465,10 +1467,11 @@ def skill_new(ctx, name, intent, yes_flag): # When overwriting, we don't destroy the old skill — we copy it # into /output/skills/-workspace/iteration-N/ first, so # the user can roll back via `openkb skill rollback`. See - # ``openkb/skill_workspace.py``. + # ``openkb/skill/workspace.py``. + from openkb.skill import skill_dir from openkb.skill.workspace import save_iteration, write_diff - target = kb_dir / "output" / "skills" / name + target = skill_dir(kb_dir, name) saved_iteration: Path | None = None if target.exists(): if yes_flag: @@ -1491,17 +1494,18 @@ def skill_new(ctx, name, intent, yes_flag): ) ctx.exit(1) - # Run the generator + # Run the generator. Generator.run handles compile -> validate -> + # marketplace publish, so both CLI and chat get the same quality gate. from openkb.skill.generator import Generator click.echo(f"Compiling skill '{name}'...") + gen = Generator( + target_type="skill", + name=name, + intent=intent, + kb_dir=kb_dir, + model=model, + ) try: - gen = Generator( - target_type="skill", - name=name, - intent=intent, - kb_dir=kb_dir, - model=model, - ) asyncio.run(gen.run()) except RuntimeError as exc: click.echo(f"[ERROR] {exc}", err=True) @@ -1517,12 +1521,10 @@ def skill_new(ctx, name, intent, yes_flag): "diff generation failed: %s", exc, exc_info=True ) - # Auto-validate the freshly compiled skill. Surface issues but don't - # block — files are on disk and the user can fix or rollback. - from openkb.skill.validator import validate_skill - skill_dir = kb_dir / "output" / "skills" / name - result = validate_skill(skill_dir) - if result.errors or result.warnings: + # Surface validation issues. Don't block — files are on disk and + # the user can fix or rollback. + result = gen.validation + if result is not None and (result.errors or result.warnings): click.echo("\n[WARN] Validation found issues:") for err in result.errors: click.echo(f" ERROR: {err}") @@ -1581,7 +1583,8 @@ def skill_history(ctx, name): stamp = "-" click.echo(f" {n} {rel} {stamp}") - current = kb_dir / "output" / "skills" / name + from openkb.skill import skill_dir + current = skill_dir(kb_dir, name) if current.is_dir(): rel_curr = current.relative_to(kb_dir) click.echo(f"\n Current: {rel_curr}/") @@ -1642,7 +1645,8 @@ def skill_rollback(ctx, name, to_n, yes_flag): ) ctx.exit(1) - current = kb_dir / "output" / "skills" / name + from openkb.skill import skill_dir + current = skill_dir(kb_dir, name) if current.exists(): prompt = ( f"This will overwrite output/skills/{name}/ with {target_label}. Continue?" @@ -1681,27 +1685,28 @@ def skill_rollback(ctx, name, to_n, yes_flag): @click.pass_context def skill_validate(ctx, name, strict): """Validate one skill (by name) or all compiled skills in this KB.""" + from openkb.skill import skill_dir, skills_root from openkb.skill.validator import validate_skill kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) if kb_dir is None: - click.echo("No knowledge base found.", err=True) + click.echo("No knowledge base found. Run `openkb init` first.", err=True) ctx.exit(1) - skills_root = kb_dir / "output" / "skills" - if not skills_root.is_dir(): + root = skills_root(kb_dir) + if not root.is_dir(): click.echo("No skills found. Compile one with `openkb skill new`.") return if name: - target = skills_root / name + target = skill_dir(kb_dir, name) if not target.is_dir(): click.echo(f"[ERROR] Skill '{name}' not found.", err=True) ctx.exit(1) targets = [target] else: targets = sorted( - d for d in skills_root.iterdir() + d for d in root.iterdir() if d.is_dir() and not d.name.endswith("-workspace") ) @@ -1748,12 +1753,14 @@ def skill_eval(ctx, name, save_flag, eval_set_path, count): run_eval, save_eval_set, load_eval_set, EvalPrompt, ) + from openkb.skill import skill_dir as _skill_dir + kb_dir = _find_kb_dir(ctx.obj.get("kb_dir_override")) if kb_dir is None: - click.echo("No knowledge base found.", err=True) + click.echo("No knowledge base found. Run `openkb init` first.", err=True) ctx.exit(1) - skill_dir = kb_dir / "output" / "skills" / name + skill_dir = _skill_dir(kb_dir, name) if not skill_dir.is_dir(): click.echo(f"[ERROR] Skill '{name}' not found.", err=True) ctx.exit(1) @@ -1783,16 +1790,29 @@ def skill_eval(ctx, name, save_flag, eval_set_path, count): click.echo(f"\nEval set: {result.total} prompts") click.echo( - f"Pass rate: {result.passed}/{result.total} " - f"({result.pass_rate * 100:.0f}%)" + f"Trigger accuracy: {result.passed}/{result.total} " + f"({result.pass_rate * 100:.0f}%) " + f"— does the description fire on the right questions?" + ) + click.echo( + f"Body coverage: {result.coverage_passed}/{result.trigger_questions} " + f"({result.coverage_rate * 100:.0f}%) " + f"— does SKILL.md actually support what the description promises?" ) if result.misses: - click.echo(f"\nMisses ({len(result.misses)}):") + click.echo(f"\nTrigger misses ({len(result.misses)}):") for miss in result.misses: click.echo(f" - {miss.label} {miss.prompt.question}") - else: - click.echo("\nAll prompts graded correctly.") + + if result.coverage_misses: + click.echo(f"\nCoverage gaps ({len(result.coverage_misses)}):") + for gap in result.coverage_misses: + tail = f" — {gap.reason}" if gap.reason else "" + click.echo(f" - {gap.prompt.question}{tail}") + + if not result.misses and not result.coverage_misses: + click.echo("\nAll prompts graded correctly with full body support.") if save_flag and eval_set is None: path = save_eval_set(kb_dir, name, result.prompts) diff --git a/openkb/prompts/skill_create.md b/openkb/prompts/skill_create.md index bc222ef5..263451f7 100644 --- a/openkb/prompts/skill_create.md +++ b/openkb/prompts/skill_create.md @@ -4,6 +4,12 @@ wiki at `/wiki/` and produce a redistributable Anthropic Skill at Gemini CLI, Cursor — will install this skill and load it on demand, so the output must follow the Anthropic Skills directory spec exactly. +You are not writing a summary or a Wikipedia article. You are distilling +the source material into a **practitioner's worldview** that a downstream +agent can pick up and use to reason like the author. Think: "what would +this expert say when faced with a concrete question?" — not "what topics +does this source cover?" + ## User intent The user requested this skill with the following description. Treat it as @@ -21,9 +27,16 @@ The wiki you can read from is structured as follows. * `list_wiki_dir(directory)` — list files in a wiki subdirectory. * `read_wiki_file(path)` — read a markdown file under `/wiki/`. -* `query_wiki(question)` — semantic search; returns a short answer with - citations. Use sparingly (it's an LLM call). Prefer direct file reads - when you already know which page you need. +* `get_page_content(doc_name, pages)` — fetch source pages of a PageIndex + (long) document at page-range granularity. Use this to dive into the + original source when a summary leaves you with questions. Each summary + page has a `full_text` frontmatter pointer plus a tree of section page + ranges — use those to pick tight ranges, never fetch the whole doc. +* `get_image(image_path)` — view a figure or diagram referenced in the + wiki when you need to see it to distil it correctly. +* `query_wiki(question)` — semantic search. **Narrow follow-ups only**; + this is a nested LLM call (slow, expensive, and returns another + agent's summary rather than raw text). Prefer direct reads. * `write_skill_file(path, content)` — write under `/output/skills/{skill_name}/`. Path must be relative; cannot escape the skill root. @@ -37,61 +50,165 @@ You MUST write `SKILL.md` at the skill root, with YAML frontmatter: ```yaml --- name: {skill_name} -description: +description: --- # - + ## When to use this skill -- +Concrete trigger situations — phrased as the *kind of question or task* +that should activate this skill, not the topic in the abstract: + +- +- <…> + +Also list things this skill is NOT for, to prevent over-triggering: + +- Not for: + +## Core decision rules + +The heart of the skill — at least 5, ideally 8-12, rules extracted from +the source. Each rule is a compressed expert judgment: + +- **When you see X, prefer Y over Z** — +- **If , then ; not ** +- <…> + +These are the "if you only remember N things from the book, remember +these" rules. They are what makes the consuming agent reason like the +expert instead of just describing the topic. **Do not include +provenance links to the producer's wiki here** (see "Linking rules" at +the end) — the consumer doesn't have that wiki. ## Approach - +A short procedure the consuming agent follows when this skill fires: + +1. +2. +3. <…> ## References - [[references/]] (only if you wrote references) -``` -The `description:` field is what other agents see. It must be specific -(not "a skill about X") and accurate. Spend extra care here. +## Known gaps -## Optional output +Anything the user's intent implies that the wiki does not cover. Be +explicit — the consuming agent should not be misled into trying to use +this skill outside its actual coverage. +``` -* `references/.md` — depth material the loading agent reads on - demand. Use when content is too long for `SKILL.md` or only useful for - specific sub-questions. -* `scripts/.py` — executable helpers, ONLY if the user's intent - implies deterministic computation (e.g. a tax lookup, a formula - solver). Stick to the Python standard library; the loading environment - is unknown. +## Writing the description + +The `description:` field is the **entire activation signal** other agents +see. They have not read your SKILL.md when they decide whether to load +this skill — they only see this one line. Optimise it as a *trigger +predicate*, not a topic label. + +A good description: + +- Names **2-4 concrete situations or question shapes** that should fire + the skill (e.g. "reasoning about attention mechanics", "debugging a + training loop", "evaluating a transformer paper"). +- Includes **keywords the user is likely to type** when they would + benefit from this skill — terms from the source, not generic restatement. +- Is **exclusionary** where possible: "Use when X; not for Y" prevents + over-triggering on adjacent questions. +- Avoids generic openings ("A skill about…", "Helps with…") — start with + the trigger situation. +- Is specific enough that a different broad skill would not match the + same questions. + +Bad: *"A skill about cognitive biases and decision-making."* +Better: *"Use when reasoning about specific cognitive biases (anchoring, +availability, confirmation), or when evaluating whether a decision was +made under System 1 vs System 2. Not for general behavioural-economics +discussion; not for organisational decision-making."* ## Working method -1. Read `wiki/index.md` to see what's in the KB. -2. Form a brief mental plan: which concepts and summaries best serve the - user's intent? Which references will you need? -3. Read the relevant `wiki/concepts/*.md` and `wiki/summaries/*.md` files. -4. Write `SKILL.md` first. Then references, then scripts (if any). -5. Self-check: does every `[[references/...]]` link in `SKILL.md` resolve - to a file you actually wrote? Is the description specific? Is the - `name:` frontmatter field exactly `{skill_name}`? -6. Call `done(summary)` with a one-paragraph summary of what you wrote. - -## Anti-hallucination rules - -* Cite sources for non-trivial claims using `[[concepts/]]` or - `[[summaries/]]` wikilinks back to the wiki. -* If the wiki doesn't cover something the user's intent implies, write - what you can and note the gap in `SKILL.md`'s body — do not fabricate. -* Do not copy large verbatim passages from `wiki/sources/`. Summarise and - cite. The skill must be redistributable; bulk-copying source content - could carry copyright risk that the user takes on at submission time. +1. **Survey first**. List every subdirectory under `wiki/` (call + `list_wiki_dir` on `concepts`, `summaries`, `sources`, and whatever + else the schema shows). Read `wiki/index.md`. Form a mental map of + what the KB actually contains before you decide what's relevant. +2. **Read all relevant summaries**. For each summary page that touches + the user's intent, read the full file. The summary's frontmatter has a + `full_text` field pointing to the source — note it for step 3. +3. **Read sources, not just summaries**. For every summary you used in + step 2, open at least one targeted slice of its source: + - PageIndex docs (`doc_type: pageindex`): use `get_page_content` with + a tight page range (the summary's tree shows you the structure). + - Short docs (`doc_type: short`): `read_wiki_file` on the `full_text` + path. + This is where the *specific arguments, named techniques, worked + examples, and counter-cases* live. The skill is only as expert as the + depth of source reading you do here. +4. **Read concept pages** for cross-document synthesis where the user's + intent spans more than one source. +5. **Write a draft** of `SKILL.md` and any `references/.md`. The + body must contain **at least 5 decision rules** in the "Core decision + rules" section. Ground each rule in something you actually read in + step 3 — paraphrase the source's wording, name the technique, keep + the specifics. Generic restatements of the topic are a failure mode. +6. **Review and revise**. Re-read what you wrote. For each section, ask: + - Does this contain expert judgment, or just topic description? + - If I removed this section, would the consuming agent be less + capable? If not, cut it. + - Are the decision rules concrete enough that the consuming agent + would actually apply them, or are they restatements of the topic? + - Are there gaps the user's intent implied that I covered with + generalities? Either fill them with a second read of the source or + list them under "Known gaps". + Do at least one revision pass that touches at least one section + before you call `done`. +7. **Self-check the structural invariants**: + - Every `[[references/...]]` link in `SKILL.md` resolves to a file + you actually wrote. + - The description is specific (see "Writing the description" above) + and not a generic restatement of the intent. + - The `name:` frontmatter field is exactly `{skill_name}`. + - At least 5 decision rules in "Core decision rules". +8. Call `done(summary)` with a one-paragraph summary of the worldview + you encoded and the main decision rules you extracted. + +## Linking rules + +The compiled skill is **redistributable**. Other people will install it +and run it inside their own agents — they do NOT have access to the +producer's wiki. Every wikilink you put in `SKILL.md` or +`references/*.md` must therefore resolve on the consumer's machine. + +* **Allowed**: `[[references/]]` — these files ship inside the + skill directory itself, so the consumer's agent can load them. +* **Allowed**: plain external URLs (https://…) when you have one and it + genuinely helps the consumer. +* **Forbidden**: `[[concepts/...]]`, `[[summaries/...]]`, + `[[sources/...]]` — these point at the producer's wiki, which is not + shipped. On the consumer's side they are dead links *and* wasted + context tokens. Use them at compile time to navigate the wiki, but + never write them into the shipped output. + +## Source-use rules + +* **Sources are fair game to read**. Open them, distil the expert's + reasoning, name the technique. The whole reason `get_page_content` + exists is so you can ground the skill in real material — not generic + LLM priors. +* **Short quotation is allowed** when the original phrasing carries the + meaning (a named law, a coined term, a pithy one-sentence rule). Keep + individual quotes ≤ ~40 words. Quote inline; do not link to the + source. +* **Do not bulk-copy long passages** from `wiki/sources/` (paragraphs of + prose, multi-page extracts). The skill is redistributable; bulk + copying could carry copyright risk. Paraphrase and move on. +* If the wiki genuinely does not cover something the user's intent + implies, note it under "Known gaps" — do not fabricate. Begin. diff --git a/openkb/skill/__init__.py b/openkb/skill/__init__.py index 53b8c9c3..9e054f2d 100644 --- a/openkb/skill/__init__.py +++ b/openkb/skill/__init__.py @@ -5,4 +5,78 @@ abstractions are nominally generic, but in v0.x they only serve skill artifacts. If/when ppt / podcast / report targets land, factor the generic primitives back out to ``openkb//`` at that time. + +This module also owns two single-source-of-truth helpers consumed by +every submodule: + +* path construction — ``skill_dir`` / ``skills_root`` / ``skill_workspace_dir`` +* SKILL.md frontmatter parsing — ``extract_frontmatter`` / ``extract_description`` + +Keeping them at the package root avoids both circular imports and the +"five files independently hardcode the same path" drift problem. """ +from __future__ import annotations + +import re +from pathlib import Path + +__all__ = [ + "skills_root", + "skill_dir", + "skill_workspace_dir", + "extract_frontmatter", + "extract_description", +] + + +def skills_root(kb_dir: Path) -> Path: + """``/output/skills`` — the directory holding every compiled skill.""" + return kb_dir / "output" / "skills" + + +def skill_dir(kb_dir: Path, skill_name: str) -> Path: + """``/output/skills/`` — one compiled skill's home.""" + return skills_root(kb_dir) / skill_name + + +def skill_workspace_dir(kb_dir: Path, skill_name: str) -> Path: + """``/output/skills/-workspace`` — iteration history for a skill.""" + return skills_root(kb_dir) / f"{skill_name}-workspace" + + +_DESC_RE = re.compile(r"^description:\s*(.*?)\s*$", re.MULTILINE) + + +def extract_frontmatter(text: str) -> str | None: + """Return the YAML body between the first two ``---`` lines, or ``None``. + + Canonical parser for SKILL.md frontmatter — every consumer in this + package should route through here so edge cases (CRLF, missing close, + body containing ``---``) behave identically across the validator, + evaluator, marketplace, and workspace modules. + """ + lines = text.splitlines() + if not lines or lines[0].strip() != "---": + return None + try: + end = lines.index("---", 1) + except ValueError: + return None + return "\n".join(lines[1:end]) + + +def extract_description(skill_md: Path) -> str: + """Return the ``description:`` value from a SKILL.md, or ``""``. + + Missing file, missing frontmatter, or missing field all return the + empty string — callers that need to distinguish should check the file + themselves first. + """ + if not skill_md.is_file(): + return "" + text = skill_md.read_text(encoding="utf-8", errors="replace") + fm = extract_frontmatter(text) + if fm is None: + return "" + m = _DESC_RE.search(fm) + return m.group(1).strip() if m else "" diff --git a/openkb/skill/creator.py b/openkb/skill/creator.py index d8db0314..e03280b9 100644 --- a/openkb/skill/creator.py +++ b/openkb/skill/creator.py @@ -5,8 +5,9 @@ * System prompt comes from ``openkb/prompts/skill_create.md`` and is interpolated with the user's intent and the target skill name. -* Tools are scoped: read the wiki, query the wiki, write only within - the target skill directory. +* Tools are scoped: the same deep-retrieval primitives the query agent + uses (``list``, ``read``, ``get_page_content``, ``get_image``), plus + one write tool restricted to the target skill directory. * The runner verifies that ``SKILL.md`` was written before declaring success — an agent that gets confused and never writes the required output should fail loudly rather than silently produce an empty dir. @@ -15,11 +16,14 @@ from pathlib import Path -from agents import Agent, Runner, function_tool +from agents import Agent, Runner, ToolOutputImage, ToolOutputText, function_tool from agents.model_settings import ModelSettings +from openkb.skill import skill_dir from openkb.skill.tools import ( + get_skill_page_content as _get_page_content_impl, list_wiki_dir as _list_wiki_dir_impl, + read_skill_image as _read_image_impl, read_wiki_file_for_skill as _read_wiki_file_impl, write_skill_file as _write_skill_file_impl, ) @@ -67,12 +71,47 @@ def read_wiki_file(path: str) -> str: """Read a wiki markdown file by path relative to wiki/ (e.g. 'concepts/attention.md').""" return _read_wiki_file_impl(path, wiki_root) + @function_tool + def get_page_content(doc_name: str, pages: str) -> str: + """Get text content of specific pages from a PageIndex (long) document. + + Use this to read the *source* of a long document at page-range + granularity. The summary page for the doc has a ``full_text`` + frontmatter pointer plus a tree of section page ranges — use those + to target tight ranges, not the whole document. + + Args: + doc_name: Document name without extension + (e.g. ``"attention-is-all-you-need"``). + pages: Page spec such as ``"3-5,7,10-12"``. + """ + return _get_page_content_impl(doc_name, pages, wiki_root) + + @function_tool + def get_image(image_path: str) -> ToolOutputImage | ToolOutputText: + """View an image from the wiki. + + Use when a wiki page references a figure, chart, or diagram you + need to see in order to distil it correctly into the skill. + + Args: + image_path: Path relative to wiki/ + (e.g. ``"sources/images/doc/p1_img1.png"``). + """ + result = _read_image_impl(image_path, wiki_root) + if result["type"] == "image": + return ToolOutputImage(image_url=result["image_url"]) + return ToolOutputText(text=result["text"]) + @function_tool async def query_wiki(question: str) -> str: - """Run a semantic query over the wiki and return the answer. + """Semantic search over the wiki — narrow follow-ups only. - Use sparingly — this is itself an LLM call. Prefer reading specific - files when you already know which one you want. + This is a nested LLM call. Use ONLY when you have a specific + sub-question that direct file reads can't easily answer (e.g. "what + does the book say about X across multiple chapters?"). For primary + traversal, use list/read/get_page_content instead — they are + cheaper and give you the raw text, not another LLM's summary. """ # Lazy import to avoid a circular dependency at module load time. from openkb.agent.query import run_query @@ -92,7 +131,15 @@ def done(summary: str) -> str: return Agent( name="skill-creator", instructions=instructions, - tools=[list_wiki_dir, read_wiki_file, query_wiki, write_skill_file, done], + tools=[ + list_wiki_dir, + read_wiki_file, + get_page_content, + get_image, + query_wiki, + write_skill_file, + done, + ], model=f"litellm/{model}", model_settings=ModelSettings(parallel_tool_calls=False), ) @@ -112,7 +159,7 @@ async def run_skill_create( or if the SDK hits its turn cap before the agent declares done. """ wiki_root = str(kb_dir / "wiki") - skill_root = kb_dir / "output" / "skills" / skill_name + skill_root = skill_dir(kb_dir, skill_name) agent = build_skill_create_agent( wiki_root=wiki_root, diff --git a/openkb/skill/evaluator.py b/openkb/skill/evaluator.py index 979df4f0..079f5e80 100644 --- a/openkb/skill/evaluator.py +++ b/openkb/skill/evaluator.py @@ -1,22 +1,32 @@ -"""Trigger-accuracy evaluator for compiled skills. +"""Quality evaluation for compiled skills. -The description: field in SKILL.md is the activation signal — it's what -other agents read to decide whether to load the skill for a given user -question. A vague or off-target description fails to fire when it should -(false negatives) or fires when it shouldn't (false positives). This -module catches both. +Two metrics, two LLM passes: + +**Trigger accuracy** — given *only* the description, does an external +agent decide correctly whether to load the skill for a given question? +This catches under-specific descriptions (false negatives) and +over-broad descriptions (false positives). + +**Body alignment** — given the *full* SKILL.md (body + references), can +the skill actually answer the should-trigger questions it claims to +handle? This catches the failure mode where a well-written description +promises capability that the body doesn't deliver — a hollow skill that +would trigger but fail in practice. Flow: - 1. Read description from the skill's SKILL.md frontmatter - 2. Ask a generator LLM: produce N should-trigger + N should-not prompts - based purely on the description (no other context) - 3. For each prompt, ask a grader LLM: "given just this description, - should an agent load this skill for this question? yes/no" - 4. Compare against expected labels (the ground truth from step 2) - 5. Report pass rate + the specific misses + 1. Read the SKILL.md frontmatter (description) + body + references/*. + 2. Generator LLM produces N should-trigger + N should-not prompts, + using description AND body so prompts reflect what the skill + actually claims to cover, not just description vibes. + 3. Trigger grader sees ONLY the description and answers + trigger / no-trigger for each prompt — same as before. + 4. Alignment grader sees the SKILL.md body+references and each + should-trigger prompt; answers "supported / unsupported" — does the + skill have the substance to handle this question? + 5. Report both pass rates and the specific misses. Uses the same LiteLLM model the rest of the KB uses (config.yaml). No -real LLM calls in tests — both generator and grader are patched. +real LLM calls in tests — both generator and graders are patched. """ from __future__ import annotations @@ -30,8 +40,11 @@ from agents import Agent, Runner from agents.model_settings import ModelSettings +from openkb.skill import extract_frontmatter + EVAL_DEFAULT_COUNT = 10 # 10 trigger + 10 no-trigger = 20 prompts +REFERENCES_PREVIEW_BYTES = 4000 # cap reference content fed to the eval LLM @dataclass @@ -50,10 +63,18 @@ def label(self) -> str: return f"[{self.prompt.expected} -> graded {self.graded}]" +@dataclass +class CoverageMiss: + """A should-trigger prompt the description promises but the body can't support.""" + prompt: EvalPrompt + reason: str = "" + + @dataclass class EvalResult: prompts: list[EvalPrompt] = field(default_factory=list) misses: list[EvalMiss] = field(default_factory=list) + coverage_misses: list[CoverageMiss] = field(default_factory=list) @property def total(self) -> int: @@ -67,25 +88,74 @@ def passed(self) -> int: def pass_rate(self) -> float: return self.passed / self.total if self.total else 0.0 + @property + def trigger_questions(self) -> int: + return sum(1 for p in self.prompts if p.expected == "trigger") + + @property + def coverage_passed(self) -> int: + return self.trigger_questions - len(self.coverage_misses) + + @property + def coverage_rate(self) -> float: + total = self.trigger_questions + return self.coverage_passed / total if total else 0.0 + def _read_description(skill_dir: Path) -> str: """Extract the description: field from SKILL.md frontmatter.""" skill_md = skill_dir / "SKILL.md" text = skill_md.read_text(encoding="utf-8") - lines = text.splitlines() - if not lines or lines[0].strip() != "---": - raise RuntimeError(f"{skill_md} has no YAML frontmatter.") - try: - end = lines.index("---", 1) - except ValueError: + fm = extract_frontmatter(text) + if fm is None: raise RuntimeError(f"{skill_md} has no YAML frontmatter.") - meta = yaml.safe_load("\n".join(lines[1:end])) or {} + meta = yaml.safe_load(fm) or {} desc = meta.get("description") if not isinstance(desc, str) or not desc: raise RuntimeError(f"{skill_md} has no description: field.") return desc +def _read_body(skill_dir: Path) -> str: + """Return SKILL.md without the YAML frontmatter.""" + skill_md = skill_dir / "SKILL.md" + text = skill_md.read_text(encoding="utf-8") + fm = extract_frontmatter(text) + if fm is None: + return text + # Strip the leading frontmatter block (---\n...\n---\n) + return text.split("---", 2)[-1].lstrip() + + +def _read_references_preview(skill_dir: Path) -> str: + """Concatenate references/*.md, capped per-file, for the eval LLM. + + The cap keeps token use bounded for large reference sets. Each file + contributes its first N bytes (text is markdown so a byte cap is a + reasonable proxy for tokens). + """ + refs_dir = skill_dir / "references" + if not refs_dir.is_dir(): + return "" + chunks: list[str] = [] + for ref in sorted(refs_dir.rglob("*.md")): + rel = ref.relative_to(skill_dir) + text = ref.read_text(encoding="utf-8", errors="replace") + if len(text) > REFERENCES_PREVIEW_BYTES: + text = text[:REFERENCES_PREVIEW_BYTES] + "\n…[truncated]\n" + chunks.append(f"--- {rel} ---\n{text}") + return "\n\n".join(chunks) + + +def _skill_content_block(skill_dir: Path) -> str: + """Bundle body + reference previews into one prompt-ready string.""" + body = _read_body(skill_dir) + refs = _read_references_preview(skill_dir) + if not refs: + return f"SKILL.md body:\n{body}" + return f"SKILL.md body:\n{body}\n\nReferences (excerpts):\n{refs}" + + async def generate_eval_set( skill_dir: Path, *, @@ -93,22 +163,36 @@ async def generate_eval_set( count: int = EVAL_DEFAULT_COUNT, ) -> list[EvalPrompt]: """Use an LLM to generate ``count`` should-trigger + ``count`` should-not - eval prompts based on the skill's description. + eval prompts grounded in what the skill actually claims to cover. + + The generator now sees the SKILL.md body and reference previews, not + just the description. That keeps the should-trigger questions + realistic (questions the skill is genuinely set up to answer) and the + should-not questions plausibly-adjacent (so trigger accuracy actually + catches over-broad descriptions, not just disjoint ones). """ desc = _read_description(skill_dir) + content = _skill_content_block(skill_dir) instructions = ( "You are designing an evaluation set for a knowledge-base skill. " - f"The skill's activation description is:\n\n" + "The skill's activation description is:\n\n" f" {desc}\n\n" - f"Produce exactly {count} 'should-trigger' user questions (questions where " - f"an agent SHOULD load this skill to answer well) and exactly {count} " - f"'should-not' user questions (plausible-sounding questions about other " - f"topics where this skill is NOT the right tool).\n\n" - f"Output ONLY a JSON object with this exact shape:\n" + "The skill's body (SKILL.md without frontmatter) and references " + "are below. Use them to ground the questions in what the skill " + "actually claims to cover.\n\n" + f"{content}\n\n" + f"Produce exactly {count} 'should-trigger' user questions " + "(questions a user might ask where this skill genuinely helps — " + "ones the body and references contain material for) and exactly " + f"{count} 'should-not' user questions (plausibly-adjacent " + "questions where this skill is NOT the right tool — they should " + "be close enough that a sloppy description would mis-trigger, " + "but the body clearly does not cover them).\n\n" + "Output ONLY a JSON object with this exact shape:\n" f' {{"should_trigger": [...{count} strings...], ' f'"should_not": [...{count} strings...]}}\n\n' - f"No prose. No markdown. Just the JSON object." + "No prose. No markdown. Just the JSON object." ) agent = Agent( @@ -155,8 +239,14 @@ async def grade_one( *, model: str, ) -> Literal["trigger", "no-trigger"]: - """Ask the grader LLM whether the description suggests this skill - should be loaded for the given question.""" + """Ask the trigger grader LLM whether the description suggests this + skill should be loaded for the given question. + + The grader deliberately sees ONLY the description — that is the + trigger surface external agents will see when deciding to load the + skill. The body is irrelevant to *this* metric; see + :func:`grade_coverage` for the body-aware check. + """ instructions = ( "You are deciding whether an agent should load a specific skill to " "answer a user question. You will be given the skill's activation " @@ -188,6 +278,63 @@ async def grade_one( return "no-trigger" +async def grade_coverage( + skill_content: str, + question: str, + *, + model: str, +) -> tuple[Literal["supported", "unsupported"], str]: + """Ask the alignment grader whether the SKILL.md body + references + actually contain enough substance to answer the question. + + This is the orthogonal check to :func:`grade_one`. A skill can have a + perfectly-firing description and still be a hollow shell — this catches + that. Returns the verdict and a one-line reason from the grader. + """ + instructions = ( + "You are auditing a skill for content quality. You will be given " + "the skill's body (SKILL.md without frontmatter) and any " + "reference excerpts, plus a user question that the skill's " + "description claims to handle. Decide whether the body has " + "substantive material to answer the question.\n\n" + "Answer with EXACTLY this two-line shape:\n" + "VERDICT: SUPPORTED (or UNSUPPORTED)\n" + "REASON: \n\n" + f"{skill_content}" + ) + agent = Agent( + name="coverage-grader", + instructions=instructions, + model=f"litellm/{model}", + model_settings=ModelSettings(parallel_tool_calls=False), + ) + from agents.exceptions import MaxTurnsExceeded + try: + result = await Runner.run(agent, f"Question: {question}", max_turns=2) + except MaxTurnsExceeded as exc: + raise RuntimeError( + f"Coverage grader hit the max-turn cap on question: {question!r}. " + f"Try a more capable model." + ) from exc + raw = (result.final_output or "").strip() + upper = raw.upper() + verdict: Literal["supported", "unsupported"] + if "UNSUPPORTED" in upper: + verdict = "unsupported" + elif "SUPPORTED" in upper: + verdict = "supported" + else: + # Ambiguous output — treat as unsupported (fail closed). + verdict = "unsupported" + reason = "" + for line in raw.splitlines(): + stripped = line.strip() + if stripped.upper().startswith("REASON:"): + reason = stripped.split(":", 1)[1].strip() + break + return verdict, reason + + async def run_eval( skill_dir: Path, *, @@ -195,7 +342,7 @@ async def run_eval( eval_set: list[EvalPrompt] | None = None, count: int = EVAL_DEFAULT_COUNT, ) -> EvalResult: - """Run a trigger-accuracy evaluation. + """Run trigger-accuracy + body-alignment evaluation. Args: skill_dir: ``/output/skills/`` @@ -207,11 +354,21 @@ async def run_eval( eval_set = await generate_eval_set(skill_dir, model=model, count=count) desc = _read_description(skill_dir) + content = _skill_content_block(skill_dir) result = EvalResult(prompts=eval_set) for prompt in eval_set: graded = await grade_one(desc, prompt.question, model=model) if graded != prompt.expected: result.misses.append(EvalMiss(prompt=prompt, graded=graded)) + # Body alignment only meaningful on questions the skill claims to + # handle — for should-not questions the body is correctly empty + # of relevant material. + if prompt.expected == "trigger": + verdict, reason = await grade_coverage(content, prompt.question, model=model) + if verdict != "supported": + result.coverage_misses.append( + CoverageMiss(prompt=prompt, reason=reason) + ) return result diff --git a/openkb/skill/generator.py b/openkb/skill/generator.py index 1517aa8b..48f4dce5 100644 --- a/openkb/skill/generator.py +++ b/openkb/skill/generator.py @@ -5,19 +5,27 @@ same: * output-path convention: ``/output///`` +* post-compile validation: structural check via :mod:`openkb.skill.validator` * post-run hook: marketplace.json regeneration (so artifacts ride the same distribution mechanic as skills) Each target plugs in its own `run` coroutine. v0.1's only entry calls into ``openkb.skill.creator.run_skill_create``. + +Validation runs inside ``run`` so every entry point — CLI, chat slash +command, or future programmatic caller — gets the same quality gate. +Callers consume :attr:`Generator.validation` after ``run()`` returns to +format the issues for their output sink. """ from __future__ import annotations from pathlib import Path from typing import Literal +from openkb.skill import skill_dir from openkb.skill.creator import run_skill_create from openkb.skill.marketplace import regenerate_marketplace +from openkb.skill.validator import ValidationResult, validate_skill TargetType = Literal["skill"] # extend as new targets land @@ -52,15 +60,22 @@ def __init__( self.intent = intent self.kb_dir = kb_dir self.model = model - self.output_dir = kb_dir / "output" / f"{target_type}s" / name + self.output_dir = skill_dir(kb_dir, name) + self.validation: ValidationResult | None = None async def run(self) -> Path: - """Execute the generator. Returns the path to the produced artifact.""" + """Execute the generator. Returns the path to the produced artifact. + + Side-effects, in order: compile → validate → publish manifest. + ``self.validation`` holds the :class:`ValidationResult` so callers + can surface issues without re-running the validator. + """ await run_skill_create( kb_dir=self.kb_dir, skill_name=self.name, intent=self.intent, model=self.model, ) + self.validation = validate_skill(self.output_dir) regenerate_marketplace(self.kb_dir) return self.output_dir diff --git a/openkb/skill/marketplace.py b/openkb/skill/marketplace.py index 394952e7..f0894836 100644 --- a/openkb/skill/marketplace.py +++ b/openkb/skill/marketplace.py @@ -21,15 +21,11 @@ from __future__ import annotations import json -import re from pathlib import Path from typing import Any from openkb.config import load_config - - -_FRONTMATTER_RE = re.compile(r"^---\s*\n(.*?)\n---", re.DOTALL) -_DESCRIPTION_RE = re.compile(r"^description:\s*(.+?)\s*$", re.MULTILINE) +from openkb.skill import extract_description, skills_root def _git_owner(kb_dir: Path) -> dict[str, str]: @@ -60,31 +56,13 @@ def _git(key: str) -> str: return owner -def _read_skill_description(skill_md: Path) -> str: - """Pull the ``description:`` field from a SKILL.md frontmatter block. - - Returns an empty string if missing or unparseable — the manifest still - lists the skill, just with a generic plugin-level description. - """ - if not skill_md.exists(): - return "" - text = skill_md.read_text(encoding="utf-8") - fm_match = _FRONTMATTER_RE.match(text) - if not fm_match: - return "" - desc_match = _DESCRIPTION_RE.search(fm_match.group(1)) - if not desc_match: - return "" - return desc_match.group(1).strip() - - def _list_skill_dirs(kb_dir: Path) -> list[Path]: """Return skill directories under /output/skills/ that contain a SKILL.md.""" - skills_root = kb_dir / "output" / "skills" - if not skills_root.is_dir(): + root = skills_root(kb_dir) + if not root.is_dir(): return [] return sorted( - d for d in skills_root.iterdir() + d for d in root.iterdir() if d.is_dir() and (d / "SKILL.md").exists() ) diff --git a/openkb/skill/tools.py b/openkb/skill/tools.py index 357b3a29..1c2082a9 100644 --- a/openkb/skill/tools.py +++ b/openkb/skill/tools.py @@ -1,18 +1,31 @@ """Path-scoped IO tools for the skill-create agent. -The skill-create agent runs with three capabilities: - * READ from /wiki/** (the substrate) - * QUERY the wiki via openkb query (semantic retrieval, see creator.py) - * WRITE under /output/skills//** (the only output destination) +The skill-create agent runs with these capabilities: + * READ wiki structure — ``list_wiki_dir`` + * READ wiki markdown — ``read_wiki_file_for_skill`` + * READ PageIndex source pages — ``get_skill_page_content`` (delegates to + ``openkb.agent.tools.get_wiki_page_content``) + * READ wiki images — ``read_skill_image`` (delegates to + ``openkb.agent.tools.read_wiki_image``) + * WRITE under skill root — ``write_skill_file`` -These helpers enforce those boundaries at the Python level — every tool -resolves its target path, then verifies it stays inside the allowed root. +The first four wrap the canonical wiki tools in ``openkb/agent/tools.py`` +so the skill agent traverses the wiki the same way the query agent does — +no separate retrieval semantics, no second implementation to drift. + +These helpers enforce write boundaries at the Python level — every write +resolves its target path, then verifies it stays inside the skill root. Path traversal (``..``) and absolute paths are rejected outright. """ from __future__ import annotations from pathlib import Path +from openkb.agent.tools import ( + get_wiki_page_content as _get_wiki_page_content, + read_wiki_image as _read_wiki_image, +) + def list_wiki_dir(directory: str, wiki_root: str) -> str: """List ``.md`` files in a wiki subdirectory. @@ -47,6 +60,25 @@ def read_wiki_file_for_skill(path: str, wiki_root: str) -> str: return full.read_text(encoding="utf-8") +def get_skill_page_content(doc_name: str, pages: str, wiki_root: str) -> str: + """Return formatted source pages from a PageIndex (long) document. + + Thin pass-through to :func:`openkb.agent.tools.get_wiki_page_content` so + the skill agent shares the query agent's source-traversal semantics. + """ + return _get_wiki_page_content(doc_name, pages, wiki_root) + + +def read_skill_image(path: str, wiki_root: str) -> dict: + """Read a wiki image as a base64 data URL. + + Thin pass-through to :func:`openkb.agent.tools.read_wiki_image`. The + caller decides whether to surface the result to the model as + ``ToolOutputImage`` or ``ToolOutputText``. + """ + return _read_wiki_image(path, wiki_root) + + def write_skill_file(path: str, content: str, skill_root: str) -> str: """Write a file under the skill directory. diff --git a/openkb/skill/validator.py b/openkb/skill/validator.py index aecff89f..2654cd3f 100644 --- a/openkb/skill/validator.py +++ b/openkb/skill/validator.py @@ -28,6 +28,8 @@ import yaml # already a project dep (pyyaml) +from openkb.skill import extract_frontmatter as _extract_frontmatter + SKILL_NAME_RE = re.compile(r"^[a-z0-9]+(-[a-z0-9]+)*$") DESCRIPTION_MAX_CHARS = 1024 @@ -35,6 +37,13 @@ REFERENCE_MAX_BYTES = 100 * 1024 NAME_MAX_LEN = 64 WIKILINK_RE = re.compile(r"\[\[references/([a-z0-9._/-]+)\]\]", re.IGNORECASE) +# Foreign wikilinks point at the producer's wiki, which is not shipped +# with the skill. On the consumer's machine they are dead links *and* +# wasted context tokens — see "Linking rules" in skill_create.md. +FOREIGN_WIKILINK_RE = re.compile( + r"\[\[(concepts|summaries|sources)/[^\]]+\]\]", + re.IGNORECASE, +) ALLOWED_FRONTMATTER_KEYS = { "name", "description", "license", "allowed-tools", "metadata", "compatibility", } @@ -154,9 +163,33 @@ def validate_skill(skill_dir: Path, *, strict: bool = False) -> ValidationResult "characters — they break the activation parser in Claude Code." ) + # Foreign wikilinks. The skill ships *without* the producer's wiki, so + # any [[concepts/...]] / [[summaries/...]] / [[sources/...]] left in + # the body or references is a dead link on the consumer's machine plus + # wasted context tokens. The compile prompt's "Linking rules" section + # makes this explicit; this is the structural enforcement. + foreign = FOREIGN_WIKILINK_RE.findall(text) + if foreign: + kinds = sorted({k.lower() for k in foreign}) + result.errors.append( + f"SKILL.md contains foreign wikilinks ({', '.join(kinds)}) back " + f"to the producer's wiki. Those don't ship with the skill and " + f"are dead on the consumer's machine — paraphrase the content " + f"inline or move it into `references/.md`." + ) + refs_dir = skill_dir / "references" + if refs_dir.is_dir(): + for ref in refs_dir.rglob("*.md"): + ref_text = ref.read_text(encoding="utf-8", errors="replace") + if FOREIGN_WIKILINK_RE.search(ref_text): + result.errors.append( + f"{ref.relative_to(skill_dir)} contains foreign " + f"wikilinks back to the producer's wiki. References " + f"ship with the skill and must be self-contained." + ) + # references/ wikilink resolution wikilinks = WIKILINK_RE.findall(text) - refs_dir = skill_dir / "references" for link in wikilinks: # link may or may not include .md suffix target = refs_dir / link @@ -194,18 +227,6 @@ def validate_skill(skill_dir: Path, *, strict: bool = False) -> ValidationResult return result -def _extract_frontmatter(text: str) -> str | None: - """Return the YAML body between the first two `---` lines, or None.""" - lines = text.splitlines() - if not lines or lines[0].strip() != "---": - return None - try: - end = lines.index("---", 1) - except ValueError: - return None - return "\n".join(lines[1:end]) - - def _non_stdlib_imports(script: Path) -> set[str]: """Return imported module names that aren't in the Python stdlib.""" try: diff --git a/openkb/skill/workspace.py b/openkb/skill/workspace.py index f82a42c7..367f72d7 100644 --- a/openkb/skill/workspace.py +++ b/openkb/skill/workspace.py @@ -19,6 +19,12 @@ import shutil from pathlib import Path +from openkb.skill import ( + extract_description, + skill_dir as _skill_dir, + skill_workspace_dir as _workspace_dir, +) + __all__ = [ "save_iteration", "list_iterations", @@ -27,14 +33,6 @@ ] -def _skill_dir(kb_dir: Path, skill_name: str) -> Path: - return kb_dir / "output" / "skills" / skill_name - - -def _workspace_dir(kb_dir: Path, skill_name: str) -> Path: - return kb_dir / "output" / "skills" / f"{skill_name}-workspace" - - _ITER_RE = re.compile(r"^iteration-(\d+)$") @@ -112,8 +110,13 @@ def restore_iteration( ) src = match + # Save the current state before overwriting it — rollback is a mutation + # too, and the workspace promise ("no work is destroyed") has to hold + # in both directions. A user who edits files in chat then rolls back + # gets those edits preserved as the next iteration, not silently lost. dest = _skill_dir(kb_dir, skill_name) if dest.exists(): + save_iteration(kb_dir, skill_name) shutil.rmtree(dest) shutil.copytree(src, dest) return dest @@ -124,28 +127,6 @@ def restore_iteration( # --------------------------------------------------------------------------- -_DESC_RE = re.compile( - r"^description:\s*(.*?)\s*$", - re.MULTILINE, -) - - -def _extract_description(skill_md: Path) -> str: - """Return the ``description:`` line from a SKILL.md frontmatter, - or empty string if absent.""" - if not skill_md.is_file(): - return "" - text = skill_md.read_text(encoding="utf-8", errors="replace") - # Only scan the frontmatter block to avoid matching body text. - if text.startswith("---"): - end = text.find("\n---", 3) - head = text[: end if end != -1 else len(text)] - else: - head = text[:2000] - m = _DESC_RE.search(head) - return m.group(1) if m else "" - - def _list_files(root: Path, subdir: str) -> set[str]: base = root / subdir if not base.is_dir(): @@ -171,8 +152,8 @@ def write_diff(prev: Path, curr: Path, diff_path: Path) -> None: * files added/removed under ``references/`` and ``scripts/`` * line-count delta on SKILL.md """ - prev_desc = _extract_description(prev / "SKILL.md") - curr_desc = _extract_description(curr / "SKILL.md") + prev_desc = extract_description(prev / "SKILL.md") + curr_desc = extract_description(curr / "SKILL.md") prev_refs = _list_files(prev, "references") curr_refs = _list_files(curr, "references") diff --git a/tests/test_skill_cli.py b/tests/test_skill_cli.py index b8575327..6b0ab942 100644 --- a/tests/test_skill_cli.py +++ b/tests/test_skill_cli.py @@ -340,18 +340,22 @@ def test_skill_eval_runs_with_provided_eval_set(tmp_path): async def perfect_grader(description, question, *, model): return "trigger" if question.startswith("t") else "no-trigger" + async def perfect_coverage(content, question, *, model): + return "supported", "" + runner = CliRunner() with patch("openkb.cli._find_kb_dir", return_value=kb), \ patch("openkb.cli._setup_llm_key", return_value=None), \ - patch("openkb.skill.evaluator.grade_one", side_effect=perfect_grader): + patch("openkb.skill.evaluator.grade_one", side_effect=perfect_grader), \ + patch("openkb.skill.evaluator.grade_coverage", side_effect=perfect_coverage): result = runner.invoke(cli, [ "skill", "eval", "demo", "--eval-set", str(eval_path), ]) assert result.exit_code == 0, result.output - assert "Pass rate" in result.output + assert "Trigger accuracy" in result.output assert "4/4" in result.output - assert "100%" in result.output + assert "Body coverage" in result.output assert "All prompts graded correctly" in result.output @@ -371,18 +375,22 @@ def test_skill_eval_reports_misses(tmp_path): async def biased_grader(description, question, *, model): return "trigger" + async def perfect_coverage(content, question, *, model): + return "supported", "" + runner = CliRunner() with patch("openkb.cli._find_kb_dir", return_value=kb), \ patch("openkb.cli._setup_llm_key", return_value=None), \ - patch("openkb.skill.evaluator.grade_one", side_effect=biased_grader): + patch("openkb.skill.evaluator.grade_one", side_effect=biased_grader), \ + patch("openkb.skill.evaluator.grade_coverage", side_effect=perfect_coverage): result = runner.invoke(cli, [ "skill", "eval", "demo", "--eval-set", str(eval_path), ]) assert result.exit_code == 0, result.output - assert "Pass rate" in result.output + assert "Trigger accuracy" in result.output assert "2/4" in result.output - assert "Misses (2)" in result.output + assert "Trigger misses (2)" in result.output # Each missed prompt must be listed in the output assert "n0" in result.output assert "n1" in result.output diff --git a/tests/test_skill_evaluator.py b/tests/test_skill_evaluator.py index 840bbbfa..0d8ac178 100644 --- a/tests/test_skill_evaluator.py +++ b/tests/test_skill_evaluator.py @@ -22,6 +22,7 @@ EvalResult, _read_description, generate_eval_set, + grade_coverage, grade_one, load_eval_set, run_eval, @@ -168,6 +169,10 @@ def _build_eval_set(n_trig: int = 3, n_no: int = 3) -> list[EvalPrompt]: return prompts +async def _supported_coverage(content, question, *, model): + return "supported", "" + + @pytest.mark.asyncio async def test_run_eval_happy_path_all_correct(tmp_path): skill_dir = _make_skill(tmp_path) @@ -178,7 +183,8 @@ async def fake_grade(description, question, *, model): match = next(p for p in eval_set if p.question == question) return match.expected - with patch("openkb.skill.evaluator.grade_one", side_effect=fake_grade): + with patch("openkb.skill.evaluator.grade_one", side_effect=fake_grade), \ + patch("openkb.skill.evaluator.grade_coverage", side_effect=_supported_coverage): result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) assert isinstance(result, EvalResult) @@ -186,6 +192,11 @@ async def fake_grade(description, question, *, model): assert result.passed == 6 assert result.pass_rate == 1.0 assert result.misses == [] + # Body coverage was graded only on the 3 trigger prompts, all supported. + assert result.trigger_questions == 3 + assert result.coverage_passed == 3 + assert result.coverage_rate == 1.0 + assert result.coverage_misses == [] @pytest.mark.asyncio @@ -197,7 +208,8 @@ async def test_run_eval_reports_misses(tmp_path): async def fake_grade(description, question, *, model): return "trigger" - with patch("openkb.skill.evaluator.grade_one", side_effect=fake_grade): + with patch("openkb.skill.evaluator.grade_one", side_effect=fake_grade), \ + patch("openkb.skill.evaluator.grade_coverage", side_effect=_supported_coverage): result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) assert result.total == 6 @@ -211,6 +223,67 @@ async def fake_grade(description, question, *, model): assert "trigger" in result.misses[0].label +@pytest.mark.asyncio +async def test_run_eval_reports_coverage_gaps(tmp_path): + """Body alignment must catch the hollow-body case: description fires + correctly but the body cannot support the questions it claims.""" + skill_dir = _make_skill(tmp_path) + eval_set = _build_eval_set(3, 3) + + async def perfect_trigger(description, question, *, model): + match = next(p for p in eval_set if p.question == question) + return match.expected + + async def hollow_coverage(content, question, *, model): + # Body claims to support but actually doesn't for the first two + # trigger prompts. + if question in {"trig 0", "trig 1"}: + return "unsupported", "body has no material" + return "supported", "" + + with patch("openkb.skill.evaluator.grade_one", side_effect=perfect_trigger), \ + patch("openkb.skill.evaluator.grade_coverage", side_effect=hollow_coverage): + result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) + + # Trigger accuracy is still perfect. + assert result.passed == 6 + # But coverage catches the hollow shell. + assert result.trigger_questions == 3 + assert len(result.coverage_misses) == 2 + assert {g.prompt.question for g in result.coverage_misses} == {"trig 0", "trig 1"} + assert all(g.reason == "body has no material" for g in result.coverage_misses) + assert result.coverage_rate == pytest.approx(1 / 3) + + +@pytest.mark.asyncio +async def test_grade_coverage_parses_supported_verdict(): + async def fake_runner(*args, **kwargs): + return SimpleNamespace( + final_output="VERDICT: SUPPORTED\nREASON: body covers this directly" + ) + + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + verdict, reason = await grade_coverage( + "body content", "question?", model="gpt-4o-mini" + ) + assert verdict == "supported" + assert reason == "body covers this directly" + + +@pytest.mark.asyncio +async def test_grade_coverage_fails_closed_on_ambiguous_output(): + async def fake_runner(*args, **kwargs): + return SimpleNamespace(final_output="hmm not sure") + + with patch("openkb.skill.evaluator.Runner.run", new=AsyncMock(side_effect=fake_runner)): + verdict, reason = await grade_coverage( + "body", "q?", model="gpt-4o-mini" + ) + # Fail closed: ambiguous → unsupported, not falsely supported. + assert verdict == "unsupported" + assert reason == "" + + # -------- save/load round-trip ------------------------------------------------ diff --git a/tests/test_skill_validator.py b/tests/test_skill_validator.py index 39952fc9..653cb64c 100644 --- a/tests/test_skill_validator.py +++ b/tests/test_skill_validator.py @@ -305,6 +305,79 @@ def test_passed_vs_passed_strict_semantics(tmp_path): assert result.passed_strict is False +# --------------------------------------------------------------------------- +# foreign wikilinks — links to the producer's wiki (concepts/, summaries/, +# sources/) are dead on the consumer's machine and waste context tokens. +# Only [[references/...]] is valid in shipped artifacts. +# --------------------------------------------------------------------------- + + +def test_validator_errors_on_concepts_wikilink_in_body(tmp_path): + sd = _write_skill( + tmp_path, "leaks-concepts", + body="# body\n\nSee [[concepts/attention]] for details.\n", + ) + result = validate_skill(sd) + assert not result.passed + assert any("foreign wikilinks" in e and "concepts" in e for e in result.errors) + + +def test_validator_errors_on_summaries_wikilink_in_body(tmp_path): + sd = _write_skill( + tmp_path, "leaks-summaries", + body="# body\n\nSee [[summaries/paper]] for the framing.\n", + ) + result = validate_skill(sd) + assert not result.passed + assert any("foreign wikilinks" in e and "summaries" in e for e in result.errors) + + +def test_validator_errors_on_sources_wikilink_in_body(tmp_path): + sd = _write_skill( + tmp_path, "leaks-sources", + body="# body\n\nQuote from [[sources/book#page-12]].\n", + ) + result = validate_skill(sd) + assert not result.passed + assert any("foreign wikilinks" in e and "sources" in e for e in result.errors) + + +def test_validator_errors_on_foreign_wikilink_in_reference(tmp_path): + """References ship with the skill — they must also be self-contained.""" + sd = _write_skill( + tmp_path, "leaky-ref", + body="See [[references/depth]] for more.\n", + refs={"depth.md": "# depth\n\nLink to [[concepts/foo]] here.\n"}, + ) + result = validate_skill(sd) + assert not result.passed + assert any( + "depth.md" in e and "foreign wikilinks" in e for e in result.errors + ) + + +def test_validator_accepts_references_only_links(tmp_path): + """`[[references/...]]` ships with the skill so it's valid.""" + sd = _write_skill( + tmp_path, "refs-only", + body="See [[references/depth]] for the worked example.\n", + refs={"depth.md": "# depth\n\nA self-contained reference page.\n"}, + ) + result = validate_skill(sd) + assert result.passed, result.errors + + +def test_validator_accepts_plain_body_with_no_wikilinks(tmp_path): + """A skill with prose and zero wikilinks is fine — provenance lives + on the producer's side, not in the shipped artifact.""" + sd = _write_skill( + tmp_path, "plain", + body="# body\n\n- Rule 1: when X, prefer Y.\n- Rule 2: avoid Z.\n", + ) + result = validate_skill(sd) + assert result.passed, result.errors + + # --------------------------------------------------------------------------- # new round-2 checks: angle brackets in description + unknown frontmatter keys # --------------------------------------------------------------------------- diff --git a/tests/test_skill_workspace.py b/tests/test_skill_workspace.py index 2fb9a157..56aecfc9 100644 --- a/tests/test_skill_workspace.py +++ b/tests/test_skill_workspace.py @@ -117,6 +117,24 @@ def test_restore_iteration_no_workspace_raises(tmp_path): restore_iteration(tmp_path, "demo") +def test_restore_iteration_preserves_current_state(tmp_path): + """Rollback is reversible: the pre-rollback skill is saved before overwrite, + so a user who edited files in chat then rolled back can recover those edits. + """ + _make_skill(tmp_path, "demo", description="v1") + save_iteration(tmp_path, "demo") # iteration-1 + # Simulate an in-place edit (e.g. via /skill or write_kb_file) — no save call. + _make_skill(tmp_path, "demo", description="unsaved-edit") + + restore_iteration(tmp_path, "demo", n=1) + + # Pre-rollback state should be preserved as a new iteration, not lost. + iters = list_iterations(tmp_path, "demo") + assert len(iters) == 2 + preserved = iters[-1] / "SKILL.md" + assert "unsaved-edit" in preserved.read_text() + + # --------------------------------------------------------------------------- # write_diff # --------------------------------------------------------------------------- From ea63a33cbdd53678b5501cfb89542ae2f4b33bb8 Mon Sep 17 00:00:00 2001 From: mountain Date: Wed, 20 May 2026 10:59:08 +0800 Subject: [PATCH 27/35] fix(skill): round-3 review fixes MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Address self-review findings on ce918cf. - marketplace: drop unused `extract_description` import left over from the frontmatter-parser consolidation. The manifest builder emits only fixed strings; no per-skill description is interpolated here. - validator: scope the foreign-wikilink scan. Was running on the full SKILL.md text including frontmatter, which produced a body-pointing error message even when the offending wikilink was inside the description. Now scans the description and body separately, with location-specific error wording. - skill/__init__: add `extract_body(text)` — a line-anchored body extractor that mirrors `extract_frontmatter`'s logic. The validator and evaluator both route through it, replacing the brittle `text.split("---", 2)[-1]` shortcut that mis-handled bodies starting with a Markdown horizontal rule. - evaluator: `grade_coverage` no longer fail-closes ambiguous LLM outputs to "unsupported". A third "ambiguous" verdict surfaces grader malfunction as a distinct state on `EvalResult.coverage_ambiguous`, which is excluded from both numerator and denominator of `coverage_rate` so a garbled grader doesn't masquerade as a hollow skill. CLI prints a separate WARN block when ambiguous outputs occur. - evaluator: lift `from agents.exceptions import MaxTurnsExceeded` to the module top; the three intra-function imports it had were not circular-import workarounds. Tests: +1 covering the ambiguous-vs-unsupported segregation; the previous fail-closed test is rewritten to assert the new "ambiguous" state. 505 passing. --- openkb/cli.py | 19 ++++++++++-- openkb/skill/__init__.py | 19 ++++++++++++ openkb/skill/evaluator.py | 56 +++++++++++++++++++++++------------ openkb/skill/marketplace.py | 2 +- openkb/skill/validator.py | 38 +++++++++++++++++------- tests/test_skill_evaluator.py | 39 +++++++++++++++++++++--- 6 files changed, 136 insertions(+), 37 deletions(-) diff --git a/openkb/cli.py b/openkb/cli.py index 2668214a..f025badb 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -1794,8 +1794,9 @@ def skill_eval(ctx, name, save_flag, eval_set_path, count): f"({result.pass_rate * 100:.0f}%) " f"— does the description fire on the right questions?" ) + scored = result.trigger_questions - len(result.coverage_ambiguous) click.echo( - f"Body coverage: {result.coverage_passed}/{result.trigger_questions} " + f"Body coverage: {result.coverage_passed}/{scored} " f"({result.coverage_rate * 100:.0f}%) " f"— does SKILL.md actually support what the description promises?" ) @@ -1811,7 +1812,21 @@ def skill_eval(ctx, name, save_flag, eval_set_path, count): tail = f" — {gap.reason}" if gap.reason else "" click.echo(f" - {gap.prompt.question}{tail}") - if not result.misses and not result.coverage_misses: + if result.coverage_ambiguous: + click.echo( + f"\n[WARN] Coverage grader returned unparseable output on " + f"{len(result.coverage_ambiguous)} prompt(s) — excluded from " + f"the body-coverage score. Try a more capable model:" + ) + for amb in result.coverage_ambiguous: + tail = f" — {amb.reason}" if amb.reason else "" + click.echo(f" - {amb.prompt.question}{tail}") + + if ( + not result.misses + and not result.coverage_misses + and not result.coverage_ambiguous + ): click.echo("\nAll prompts graded correctly with full body support.") if save_flag and eval_set is None: diff --git a/openkb/skill/__init__.py b/openkb/skill/__init__.py index 9e054f2d..d11af338 100644 --- a/openkb/skill/__init__.py +++ b/openkb/skill/__init__.py @@ -25,6 +25,7 @@ "skill_dir", "skill_workspace_dir", "extract_frontmatter", + "extract_body", "extract_description", ] @@ -65,6 +66,24 @@ def extract_frontmatter(text: str) -> str | None: return "\n".join(lines[1:end]) +def extract_body(text: str) -> str: + """Return the body of a SKILL.md — everything after the closing ``---``. + + Uses the same line-anchored logic as :func:`extract_frontmatter` so a + body that contains a standalone ``---`` (e.g. a Markdown horizontal + rule) is preserved intact. Files without frontmatter return their + full text unchanged. + """ + lines = text.splitlines() + if not lines or lines[0].strip() != "---": + return text + try: + end = lines.index("---", 1) + except ValueError: + return text + return "\n".join(lines[end + 1:]) + + def extract_description(skill_md: Path) -> str: """Return the ``description:`` value from a SKILL.md, or ``""``. diff --git a/openkb/skill/evaluator.py b/openkb/skill/evaluator.py index 079f5e80..924fddc7 100644 --- a/openkb/skill/evaluator.py +++ b/openkb/skill/evaluator.py @@ -38,9 +38,10 @@ import yaml from agents import Agent, Runner +from agents.exceptions import MaxTurnsExceeded from agents.model_settings import ModelSettings -from openkb.skill import extract_frontmatter +from openkb.skill import extract_body, extract_frontmatter EVAL_DEFAULT_COUNT = 10 # 10 trigger + 10 no-trigger = 20 prompts @@ -75,6 +76,11 @@ class EvalResult: prompts: list[EvalPrompt] = field(default_factory=list) misses: list[EvalMiss] = field(default_factory=list) coverage_misses: list[CoverageMiss] = field(default_factory=list) + # Trigger prompts where the coverage grader returned an unparseable + # verdict (neither SUPPORTED nor UNSUPPORTED). Tracked separately so + # grader-malfunction doesn't silently inflate ``coverage_misses`` and + # deflate ``coverage_rate``. + coverage_ambiguous: list[CoverageMiss] = field(default_factory=list) @property def total(self) -> int: @@ -94,12 +100,19 @@ def trigger_questions(self) -> int: @property def coverage_passed(self) -> int: - return self.trigger_questions - len(self.coverage_misses) + # Ambiguous outputs are excluded from both numerator and + # denominator — see ``coverage_rate``. + scored = self.trigger_questions - len(self.coverage_ambiguous) + return scored - len(self.coverage_misses) @property def coverage_rate(self) -> float: - total = self.trigger_questions - return self.coverage_passed / total if total else 0.0 + # Score only the trigger prompts the grader gave a clear verdict + # on. A garbled run that flips half the outputs to ambiguous + # should narrow the denominator, not pretend half the body is + # hollow. + scored = self.trigger_questions - len(self.coverage_ambiguous) + return self.coverage_passed / scored if scored else 0.0 def _read_description(skill_dir: Path) -> str: @@ -119,12 +132,7 @@ def _read_description(skill_dir: Path) -> str: def _read_body(skill_dir: Path) -> str: """Return SKILL.md without the YAML frontmatter.""" skill_md = skill_dir / "SKILL.md" - text = skill_md.read_text(encoding="utf-8") - fm = extract_frontmatter(text) - if fm is None: - return text - # Strip the leading frontmatter block (---\n...\n---\n) - return text.split("---", 2)[-1].lstrip() + return extract_body(skill_md.read_text(encoding="utf-8")).lstrip() def _read_references_preview(skill_dir: Path) -> str: @@ -201,7 +209,6 @@ async def generate_eval_set( model=f"litellm/{model}", model_settings=ModelSettings(parallel_tool_calls=False), ) - from agents.exceptions import MaxTurnsExceeded try: result = await Runner.run(agent, "Generate the eval set now.", max_turns=3) except MaxTurnsExceeded as exc: @@ -261,7 +268,6 @@ async def grade_one( model=f"litellm/{model}", model_settings=ModelSettings(parallel_tool_calls=False), ) - from agents.exceptions import MaxTurnsExceeded try: result = await Runner.run(agent, f"Question: {question}", max_turns=2) except MaxTurnsExceeded as exc: @@ -283,13 +289,16 @@ async def grade_coverage( question: str, *, model: str, -) -> tuple[Literal["supported", "unsupported"], str]: +) -> tuple[Literal["supported", "unsupported", "ambiguous"], str]: """Ask the alignment grader whether the SKILL.md body + references actually contain enough substance to answer the question. This is the orthogonal check to :func:`grade_one`. A skill can have a perfectly-firing description and still be a hollow shell — this catches - that. Returns the verdict and a one-line reason from the grader. + that. Returns ``"supported"``, ``"unsupported"``, or ``"ambiguous"`` + (parser couldn't extract a verdict from the grader's output) plus a + one-line reason. Callers should NOT collapse ``"ambiguous"`` into + ``"unsupported"`` — see :class:`EvalResult.coverage_ambiguous`. """ instructions = ( "You are auditing a skill for content quality. You will be given " @@ -308,7 +317,6 @@ async def grade_coverage( model=f"litellm/{model}", model_settings=ModelSettings(parallel_tool_calls=False), ) - from agents.exceptions import MaxTurnsExceeded try: result = await Runner.run(agent, f"Question: {question}", max_turns=2) except MaxTurnsExceeded as exc: @@ -318,20 +326,26 @@ async def grade_coverage( ) from exc raw = (result.final_output or "").strip() upper = raw.upper() - verdict: Literal["supported", "unsupported"] + verdict: Literal["supported", "unsupported", "ambiguous"] if "UNSUPPORTED" in upper: verdict = "unsupported" elif "SUPPORTED" in upper: verdict = "supported" else: - # Ambiguous output — treat as unsupported (fail closed). - verdict = "unsupported" + # Grader didn't emit a parseable verdict — surface as a distinct + # state so callers can report grader-malfunction separately from + # "the body is hollow." See ``EvalResult.coverage_ambiguous``. + verdict = "ambiguous" reason = "" for line in raw.splitlines(): stripped = line.strip() if stripped.upper().startswith("REASON:"): reason = stripped.split(":", 1)[1].strip() break + if not reason and verdict == "ambiguous": + # Keep the first ~120 chars of the raw output so the user has + # something to debug from. + reason = f"unparseable grader output: {raw[:120]!r}" return verdict, reason @@ -365,7 +379,11 @@ async def run_eval( # of relevant material. if prompt.expected == "trigger": verdict, reason = await grade_coverage(content, prompt.question, model=model) - if verdict != "supported": + if verdict == "ambiguous": + result.coverage_ambiguous.append( + CoverageMiss(prompt=prompt, reason=reason) + ) + elif verdict == "unsupported": result.coverage_misses.append( CoverageMiss(prompt=prompt, reason=reason) ) diff --git a/openkb/skill/marketplace.py b/openkb/skill/marketplace.py index f0894836..1fd82b26 100644 --- a/openkb/skill/marketplace.py +++ b/openkb/skill/marketplace.py @@ -25,7 +25,7 @@ from typing import Any from openkb.config import load_config -from openkb.skill import extract_description, skills_root +from openkb.skill import skills_root def _git_owner(kb_dir: Path) -> dict[str, str]: diff --git a/openkb/skill/validator.py b/openkb/skill/validator.py index 2654cd3f..f40014d6 100644 --- a/openkb/skill/validator.py +++ b/openkb/skill/validator.py @@ -28,7 +28,10 @@ import yaml # already a project dep (pyyaml) -from openkb.skill import extract_frontmatter as _extract_frontmatter +from openkb.skill import ( + extract_body as _extract_body, + extract_frontmatter as _extract_frontmatter, +) SKILL_NAME_RE = re.compile(r"^[a-z0-9]+(-[a-z0-9]+)*$") @@ -165,17 +168,30 @@ def validate_skill(skill_dir: Path, *, strict: bool = False) -> ValidationResult # Foreign wikilinks. The skill ships *without* the producer's wiki, so # any [[concepts/...]] / [[summaries/...]] / [[sources/...]] left in - # the body or references is a dead link on the consumer's machine plus - # wasted context tokens. The compile prompt's "Linking rules" section - # makes this explicit; this is the structural enforcement. - foreign = FOREIGN_WIKILINK_RE.findall(text) - if foreign: - kinds = sorted({k.lower() for k in foreign}) + # the description, body, or references is a dead link on the + # consumer's machine plus wasted context tokens. The compile prompt's + # "Linking rules" section makes this explicit; this is the structural + # enforcement. Scan each location separately so the error message + # tells the author where to look. + body = _extract_body(text) + if isinstance(desc, str): + desc_foreign = FOREIGN_WIKILINK_RE.findall(desc) + if desc_foreign: + kinds = sorted({k.lower() for k in desc_foreign}) + result.errors.append( + f"SKILL.md `description:` contains foreign wikilinks " + f"({', '.join(kinds)}) back to the producer's wiki. " + f"Descriptions are the consumer-visible activation signal — " + f"paraphrase the reference inline." + ) + body_foreign = FOREIGN_WIKILINK_RE.findall(body) + if body_foreign: + kinds = sorted({k.lower() for k in body_foreign}) result.errors.append( - f"SKILL.md contains foreign wikilinks ({', '.join(kinds)}) back " - f"to the producer's wiki. Those don't ship with the skill and " - f"are dead on the consumer's machine — paraphrase the content " - f"inline or move it into `references/.md`." + f"SKILL.md body contains foreign wikilinks ({', '.join(kinds)}) " + f"back to the producer's wiki. Those don't ship with the skill " + f"and are dead on the consumer's machine — paraphrase the " + f"content inline or move it into `references/.md`." ) refs_dir = skill_dir / "references" if refs_dir.is_dir(): diff --git a/tests/test_skill_evaluator.py b/tests/test_skill_evaluator.py index 0d8ac178..21b354c3 100644 --- a/tests/test_skill_evaluator.py +++ b/tests/test_skill_evaluator.py @@ -271,7 +271,7 @@ async def fake_runner(*args, **kwargs): @pytest.mark.asyncio -async def test_grade_coverage_fails_closed_on_ambiguous_output(): +async def test_grade_coverage_reports_ambiguous_on_unparseable_output(): async def fake_runner(*args, **kwargs): return SimpleNamespace(final_output="hmm not sure") @@ -279,9 +279,40 @@ async def fake_runner(*args, **kwargs): verdict, reason = await grade_coverage( "body", "q?", model="gpt-4o-mini" ) - # Fail closed: ambiguous → unsupported, not falsely supported. - assert verdict == "unsupported" - assert reason == "" + # Ambiguous is a third state — not collapsed into unsupported, so + # grader-malfunction doesn't silently inflate coverage_misses. + assert verdict == "ambiguous" + assert "unparseable grader output" in reason + + +@pytest.mark.asyncio +async def test_run_eval_segregates_ambiguous_from_coverage_misses(tmp_path): + """An ambiguous coverage verdict goes into ``coverage_ambiguous``, not + ``coverage_misses``, and is excluded from the coverage_rate denominator.""" + skill_dir = _make_skill(tmp_path) + eval_set = _build_eval_set(3, 0) # 3 trigger, 0 no-trigger + + async def perfect_trigger(description, question, *, model): + return "trigger" + + async def mixed_coverage(content, question, *, model): + # trig 0 -> supported, trig 1 -> unsupported, trig 2 -> ambiguous + if question == "trig 0": + return "supported", "" + if question == "trig 1": + return "unsupported", "body gap" + return "ambiguous", "unparseable grader output: 'xxx'" + + with patch("openkb.skill.evaluator.grade_one", side_effect=perfect_trigger), \ + patch("openkb.skill.evaluator.grade_coverage", side_effect=mixed_coverage): + result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) + + assert result.trigger_questions == 3 + assert len(result.coverage_misses) == 1 # only the "unsupported" one + assert len(result.coverage_ambiguous) == 1 + # Score 1 supported out of (3 - 1 ambiguous) = 1/2 + assert result.coverage_passed == 1 + assert result.coverage_rate == pytest.approx(0.5) # -------- save/load round-trip ------------------------------------------------ From 2d7d1cd6411347c577b3b96d88ad4445ef0f2ad5 Mon Sep 17 00:00:00 2001 From: mountain Date: Wed, 20 May 2026 11:30:48 +0800 Subject: [PATCH 28/35] fix(skill): drop parallel_tool_calls=False from tool-less eval agents MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The eval-set generator, trigger grader, and coverage grader have no tools — they only produce text. OpenAI's API rejects `parallel_tool_calls` when `tools` is unset: Invalid value for 'parallel_tool_calls': 'parallel_tool_calls' is only allowed when 'tools' are specified. `skill eval` would die at the very first LLM call, before any prompt was graded. Tests masked it because they patch `Runner.run` and never hit the LiteLLM layer. Fix: stop passing `model_settings=ModelSettings(parallel_tool_calls=False)` on those three agents — the flag is both invalid and meaningless when the agent has zero tools to parallelise. `ModelSettings` is no longer referenced anywhere in this module, so the import is dropped too. Pre-existing bug carried over from the original evaluator design; this is the first time anyone has run `skill eval` end-to-end against a real LLM (everything else mocks Runner.run). --- openkb/skill/evaluator.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/openkb/skill/evaluator.py b/openkb/skill/evaluator.py index 924fddc7..bbefd532 100644 --- a/openkb/skill/evaluator.py +++ b/openkb/skill/evaluator.py @@ -39,7 +39,6 @@ from agents import Agent, Runner from agents.exceptions import MaxTurnsExceeded -from agents.model_settings import ModelSettings from openkb.skill import extract_body, extract_frontmatter @@ -207,7 +206,6 @@ async def generate_eval_set( name="eval-set-generator", instructions=instructions, model=f"litellm/{model}", - model_settings=ModelSettings(parallel_tool_calls=False), ) try: result = await Runner.run(agent, "Generate the eval set now.", max_turns=3) @@ -266,7 +264,6 @@ async def grade_one( name="trigger-grader", instructions=instructions, model=f"litellm/{model}", - model_settings=ModelSettings(parallel_tool_calls=False), ) try: result = await Runner.run(agent, f"Question: {question}", max_turns=2) @@ -315,7 +312,6 @@ async def grade_coverage( name="coverage-grader", instructions=instructions, model=f"litellm/{model}", - model_settings=ModelSettings(parallel_tool_calls=False), ) try: result = await Runner.run(agent, f"Question: {question}", max_turns=2) From b6607ecc830558801e6d7f0d37db2b28be2af749 Mon Sep 17 00:00:00 2001 From: mountain Date: Wed, 20 May 2026 12:15:39 +0800 Subject: [PATCH 29/35] chore: commit uv.lock MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit uv's recommended practice since 0.5 is to commit the lockfile for both applications and libraries — pins the dev environment so contributors and CI resolve identical versions, and dep drift shows up as a reviewable diff. This repo has never committed it (not gitignored either — just plain untracked from before uv-first workflow). Establishing it now as source of truth. 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2b9401413c17e885a2a42681703c351f055fbe10 Mon Sep 17 00:00:00 2001 From: mountain Date: Wed, 20 May 2026 12:29:05 +0800 Subject: [PATCH 30/35] perf(skill): parallel eval, parallel compile reads, query_wiki cap MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Three findings from the performance review on b6607ec: 1. `run_eval` was awaiting ~30 LLM calls sequentially (20 trigger graders + 10 coverage graders). Each prompt is independent — same `desc`/`content` inputs, results accumulated in eval_set order — so `asyncio.gather` is correctness-preserving. Wrap in a `Semaphore(EVAL_CONCURRENCY=8)` to bound simultaneous requests under provider rate limits. Expected wall-clock cut for `openkb skill eval` is roughly 4-15x depending on provider latency, with the floor set by the semaphore. 2. The compile agent had `parallel_tool_calls=False`, forcing every read tool (`list_wiki_dir`, `read_wiki_file`, `get_page_content`) into its own turn. The early phase of compile is naturally a read-fan-out (survey directories, read N summaries, follow `full_text` pointers to source page-ranges). Allowing parallel tool calls lets the model batch independent reads, saving roughly 5-10 outer turns per compile (~20-40s at Opus-class latencies). Writes serialise naturally because each `write_skill_file` depends on accumulated reads. 3. `query_wiki` is a nested `Runner.run(max_turns=50)` inside the outer compile (`max_turns=80`). The docstring's "narrow follow-ups only" was the only enforcement; a pathological run could spawn many nested calls. Added a per-compile counter via closure: after `QUERY_WIKI_MAX_CALLS=3` invocations, the tool returns an error string steering the agent back to direct file reads. Bounds tail latency without breaking the common case (legitimate cross-document sub-questions still get answered). Prompt-caching for `grade_coverage` (the fourth finding in the review) was deferred: the openai-agents SDK takes `instructions` as a plain string with no hook for emitting Anthropic `cache_control` markers. OpenAI's automatic prefix caching already applies because the system prompt is byte-stable across the 10 coverage calls; closing the Anthropic gap is SDK-level work, not application-level. Tests pass (463; unrelated trafilatura env failure in test_url_ingest not touched). --- openkb/skill/creator.py | 27 +++++++++++++++- openkb/skill/evaluator.py | 65 ++++++++++++++++++++++++++++++--------- 2 files changed, 76 insertions(+), 16 deletions(-) diff --git a/openkb/skill/creator.py b/openkb/skill/creator.py index e03280b9..e392dc49 100644 --- a/openkb/skill/creator.py +++ b/openkb/skill/creator.py @@ -31,6 +31,7 @@ from openkb.schema import get_agents_md MAX_TURNS = 80 # higher than query (50) because compile can write multiple files +QUERY_WIKI_MAX_CALLS = 3 # bound nested-LLM tail latency; agents should prefer direct reads def build_skill_create_agent( @@ -103,6 +104,12 @@ def get_image(image_path: str) -> ToolOutputImage | ToolOutputText: return ToolOutputImage(image_url=result["image_url"]) return ToolOutputText(text=result["text"]) + # Per-compile counter for query_wiki. Each invocation spawns a nested + # Runner.run(max_turns=50), so an agent that leans on this tool can + # blow up wall-clock and token cost. The docstring already nudges + # toward direct reads; this hard cap is the structural backstop. + query_wiki_calls = 0 + @function_tool async def query_wiki(question: str) -> str: """Semantic search over the wiki — narrow follow-ups only. @@ -112,7 +119,18 @@ async def query_wiki(question: str) -> str: does the book say about X across multiple chapters?"). For primary traversal, use list/read/get_page_content instead — they are cheaper and give you the raw text, not another LLM's summary. + + Capped at ``QUERY_WIKI_MAX_CALLS`` invocations per compile. """ + nonlocal query_wiki_calls + query_wiki_calls += 1 + if query_wiki_calls > QUERY_WIKI_MAX_CALLS: + return ( + f"query_wiki call cap reached " + f"({QUERY_WIKI_MAX_CALLS} per compile). Use direct file " + f"reads (read_wiki_file / get_page_content) for further " + f"investigation." + ) # Lazy import to avoid a circular dependency at module load time. from openkb.agent.query import run_query kb_dir = Path(wiki_root).parent @@ -141,7 +159,14 @@ def done(summary: str) -> str: done, ], model=f"litellm/{model}", - model_settings=ModelSettings(parallel_tool_calls=False), + # Allow the model to issue multiple read tool calls in one turn — + # the compile's early phase is a fan-out (list dir -> read N + # summaries -> read N source page-ranges), and serialising each + # read into its own turn costs roughly 5-10 extra round-trips per + # compile. Writes serialise naturally because each + # `write_skill_file` depends on accumulated reads; the model has + # no reason to issue parallel writes to the same path. + model_settings=ModelSettings(parallel_tool_calls=True), ) diff --git a/openkb/skill/evaluator.py b/openkb/skill/evaluator.py index bbefd532..8185ea12 100644 --- a/openkb/skill/evaluator.py +++ b/openkb/skill/evaluator.py @@ -30,6 +30,7 @@ """ from __future__ import annotations +import asyncio import json from dataclasses import dataclass, field from pathlib import Path @@ -45,6 +46,11 @@ EVAL_DEFAULT_COUNT = 10 # 10 trigger + 10 no-trigger = 20 prompts REFERENCES_PREVIEW_BYTES = 4000 # cap reference content fed to the eval LLM +# Bound on concurrent grader LLM calls in run_eval. Without this the +# default count=10 would fire ~30 simultaneous requests, which most +# providers rate-limit. 8 is a conservative starting point — runs ~4x +# the sequential baseline while staying well under typical RPM caps. +EVAL_CONCURRENCY = 8 @dataclass @@ -366,23 +372,52 @@ async def run_eval( desc = _read_description(skill_dir) content = _skill_content_block(skill_dir) result = EvalResult(prompts=eval_set) - for prompt in eval_set: - graded = await grade_one(desc, prompt.question, model=model) + + # Run grading concurrently. Each prompt is independent — graders read + # the same `desc`/`content` strings and produce results that are then + # appended to `result` in eval_set order below, so concurrent + # execution is correctness-preserving. A semaphore caps simultaneous + # LLM calls to avoid hitting provider rate limits. + sem = asyncio.Semaphore(EVAL_CONCURRENCY) + + async def _trigger(p: EvalPrompt) -> Literal["trigger", "no-trigger"]: + async with sem: + return await grade_one(desc, p.question, model=model) + + async def _coverage(p: EvalPrompt) -> tuple[ + Literal["supported", "unsupported", "ambiguous"], str + ]: + async with sem: + return await grade_coverage(content, p.question, model=model) + + trigger_tasks = [_trigger(p) for p in eval_set] + # Body alignment only meaningful on questions the skill claims to + # handle — for should-not questions the body is correctly empty of + # relevant material. + coverage_prompts = [p for p in eval_set if p.expected == "trigger"] + coverage_tasks = [_coverage(p) for p in coverage_prompts] + + trigger_results, coverage_results = await asyncio.gather( + asyncio.gather(*trigger_tasks), + asyncio.gather(*coverage_tasks), + ) + + # Walk inputs in original order so `result.*` lists are deterministic + # even though the gather() above completed out of order. + for prompt, graded in zip(eval_set, trigger_results): if graded != prompt.expected: result.misses.append(EvalMiss(prompt=prompt, graded=graded)) - # Body alignment only meaningful on questions the skill claims to - # handle — for should-not questions the body is correctly empty - # of relevant material. - if prompt.expected == "trigger": - verdict, reason = await grade_coverage(content, prompt.question, model=model) - if verdict == "ambiguous": - result.coverage_ambiguous.append( - CoverageMiss(prompt=prompt, reason=reason) - ) - elif verdict == "unsupported": - result.coverage_misses.append( - CoverageMiss(prompt=prompt, reason=reason) - ) + + for prompt, (verdict, reason) in zip(coverage_prompts, coverage_results): + if verdict == "ambiguous": + result.coverage_ambiguous.append( + CoverageMiss(prompt=prompt, reason=reason) + ) + elif verdict == "unsupported": + result.coverage_misses.append( + CoverageMiss(prompt=prompt, reason=reason) + ) + return result From 543edbe41ccf68df7e3978d405552dbd452f03f8 Mon Sep 17 00:00:00 2001 From: mountain Date: Wed, 20 May 2026 16:16:06 +0800 Subject: [PATCH 31/35] Revert query_wiki cap in skill compile agent MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The QUERY_WIKI_MAX_CALLS=3 limit added in 2b94014 was over-engineered defence: - It was based on a theoretical worst-case bound (80 outer turns × 50 inner turns) from a perf review, not on observed misuse. - There's no telemetry showing real compiles ever approach pathological query_wiki usage. - The prompt's "narrow follow-ups only" guidance plus the docstring ("nested LLM call, prefer direct reads") are already the right primary control. Adding a structural hard-cap on top of that says "we trust the agent to make 80 reasoning steps but not to count to 3", which is inconsistent. - The cap had a real cost: a legitimately complex cross-document intent that genuinely needed a 4th query_wiki got cut off and forced back to direct reads, silently degrading skill quality. Also fixes the docstring bug a reviewer flagged on 2b94014: the docstring referenced the literal Python name `QUERY_WIKI_MAX_CALLS` rather than the value, so the model saw a meaningless symbol. Removing the cap removes the docstring claim too. If runaway compiles ever show up in telemetry, prefer a logged warning (observe-and-tune) over a silent block. --- openkb/skill/creator.py | 30 +++++++----------------------- 1 file changed, 7 insertions(+), 23 deletions(-) diff --git a/openkb/skill/creator.py b/openkb/skill/creator.py index e392dc49..4158d81d 100644 --- a/openkb/skill/creator.py +++ b/openkb/skill/creator.py @@ -31,7 +31,6 @@ from openkb.schema import get_agents_md MAX_TURNS = 80 # higher than query (50) because compile can write multiple files -QUERY_WIKI_MAX_CALLS = 3 # bound nested-LLM tail latency; agents should prefer direct reads def build_skill_create_agent( @@ -104,33 +103,18 @@ def get_image(image_path: str) -> ToolOutputImage | ToolOutputText: return ToolOutputImage(image_url=result["image_url"]) return ToolOutputText(text=result["text"]) - # Per-compile counter for query_wiki. Each invocation spawns a nested - # Runner.run(max_turns=50), so an agent that leans on this tool can - # blow up wall-clock and token cost. The docstring already nudges - # toward direct reads; this hard cap is the structural backstop. - query_wiki_calls = 0 - @function_tool async def query_wiki(question: str) -> str: """Semantic search over the wiki — narrow follow-ups only. - This is a nested LLM call. Use ONLY when you have a specific - sub-question that direct file reads can't easily answer (e.g. "what - does the book say about X across multiple chapters?"). For primary - traversal, use list/read/get_page_content instead — they are - cheaper and give you the raw text, not another LLM's summary. - - Capped at ``QUERY_WIKI_MAX_CALLS`` invocations per compile. + This is a nested LLM call: each invocation spawns a separate + query agent with its own turn budget. Use ONLY when you have a + specific sub-question that direct file reads can't easily answer + (e.g. "what does the book say about X across multiple + chapters?"). For primary traversal, use list/read/get_page_content + instead — they are cheaper and give you the raw text, not + another LLM's summary. """ - nonlocal query_wiki_calls - query_wiki_calls += 1 - if query_wiki_calls > QUERY_WIKI_MAX_CALLS: - return ( - f"query_wiki call cap reached " - f"({QUERY_WIKI_MAX_CALLS} per compile). Use direct file " - f"reads (read_wiki_file / get_page_content) for further " - f"investigation." - ) # Lazy import to avoid a circular dependency at module load time. from openkb.agent.query import run_query kb_dir = Path(wiki_root).parent From 1b80b7f8734d4efeec7623e119f99cb7630648c6 Mon Sep 17 00:00:00 2001 From: mountain Date: Wed, 20 May 2026 16:33:20 +0800 Subject: [PATCH 32/35] docs(readme): drop misattributed "borrowing from" in Quality gates MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Both attributions were wrong: - Structural validation was credited to "Codex skill-creator" at github.com/openai/skills — but that repo has no skill-creator, and validator.py is explicitly modeled on Anthropic's quick_validate.py (see the module docstring). - Trigger-accuracy evals were credited to Anthropic skill-creator — but evaluator.py has no such inspiration in its docstrings; the design (description-only trigger grader + body-aware coverage grader) is OpenKB's own. Iteration pattern in workspace.py is genuinely borrowed from Anthropic skill-creator, and that credit lives in the module docstring where it belongs. Reframed the README line to describe what the gates do, without parading non-existent or backwards lineage. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f9c73619..cc19188f 100644 --- a/README.md +++ b/README.md @@ -243,7 +243,7 @@ npx skills@latest add / [agent edits SKILL.md frontmatter in place] ``` -**Quality gates** — borrowing from [Codex skill-creator](https://github.com/openai/skills) (structural validation) and [Anthropic skill-creator](https://github.com/anthropics/skills/tree/main/skills/skill-creator) (trigger-accuracy evals): +**Quality gates** — structural validation, trigger-accuracy + body-coverage evaluation, and full history/rollback: ```bash # Lint structure (auto-runs at end of `skill new`) From b5c2512f24c409b1fa9c5e8d21337d814f370be2 Mon Sep 17 00:00:00 2001 From: mountain Date: Wed, 20 May 2026 16:41:05 +0800 Subject: [PATCH 33/35] docs(skill): drop "Borrowed from" claim in workspace.py MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Same problem as the README "Quality gates" line just removed: the attribution is louder than the actual lineage. The workspace module implements directory backup with monotonically numbered iteration slots — a generic backup pattern, not anything specific to Anthropic's skill-creator. The inspiration was looking at their SKILL.md while designing the rollback story, not copying any algorithm. Calling it "Borrowed from" overstates that. Keep the rest of the docstring (what the module does, when it runs) and drop the false-pedigree footer. --- openkb/skill/workspace.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/openkb/skill/workspace.py b/openkb/skill/workspace.py index 367f72d7..8dad9291 100644 --- a/openkb/skill/workspace.py +++ b/openkb/skill/workspace.py @@ -9,9 +9,6 @@ After the new skill is generated, :func:`write_diff` drops a ``diff.md`` inside the saved iteration capturing the structural delta (description change, ref/script add/remove, SKILL.md line-count delta). - -Borrowed from Anthropic's `skill-creator` iteration pattern: -https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md """ from __future__ import annotations From 02e8d1b57181f1689534c8588f0df1ab08dbbe41 Mon Sep 17 00:00:00 2001 From: mountain Date: Thu, 21 May 2026 11:59:53 +0800 Subject: [PATCH 34/35] fix(skill): clean up evaluator docs + capture per-task grader failures MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Three loose ends from the perf review on 2b94014: 1. Module docstring "Flow" section read sequentially despite steps 3-4 now running concurrently via asyncio.gather. Rewrote to describe the concurrent dispatch + the EVAL_CONCURRENCY semaphore bound. 2. EVAL_CONCURRENCY comment claimed "~4x the sequential baseline" — but the semaphore is a sliding window across the combined trigger + coverage pool, so realistic speedup ranges from 30/8 (~3.75x) to 8x depending on per-call latency variance. Replaced the misleading claim with the actual semantics. 3. asyncio.gather had no return_exceptions=True, so a single grader raising RuntimeError (e.g. MaxTurnsExceeded wrap) aborted the whole eval and discarded the other ~29 successful gradings. Added per-task exception capture: failed prompts now go onto trigger_errors / coverage_errors on EvalResult, are surfaced as a [WARN] block in `openkb skill eval`, and are excluded from the rate denominators (we don't know what the verdict would have been). Added trigger_scored property and reworked passed / pass_rate to match. Plus one regression test covering: one trigger grader and one coverage grader both raise on different prompts; the other prompts grade normally and end up in their expected slots. 464 tests passing. --- openkb/cli.py | 23 ++++++++-- openkb/skill/evaluator.py | 81 +++++++++++++++++++++++++++-------- tests/test_skill_evaluator.py | 43 +++++++++++++++++++ 3 files changed, 125 insertions(+), 22 deletions(-) diff --git a/openkb/cli.py b/openkb/cli.py index f025badb..1f0917e3 100644 --- a/openkb/cli.py +++ b/openkb/cli.py @@ -1790,13 +1790,17 @@ def skill_eval(ctx, name, save_flag, eval_set_path, count): click.echo(f"\nEval set: {result.total} prompts") click.echo( - f"Trigger accuracy: {result.passed}/{result.total} " + f"Trigger accuracy: {result.passed}/{result.trigger_scored} " f"({result.pass_rate * 100:.0f}%) " f"— does the description fire on the right questions?" ) - scored = result.trigger_questions - len(result.coverage_ambiguous) + coverage_scored = ( + result.trigger_questions + - len(result.coverage_ambiguous) + - len(result.coverage_errors) + ) click.echo( - f"Body coverage: {result.coverage_passed}/{scored} " + f"Body coverage: {result.coverage_passed}/{coverage_scored} " f"({result.coverage_rate * 100:.0f}%) " f"— does SKILL.md actually support what the description promises?" ) @@ -1822,10 +1826,23 @@ def skill_eval(ctx, name, save_flag, eval_set_path, count): tail = f" — {amb.reason}" if amb.reason else "" click.echo(f" - {amb.prompt.question}{tail}") + if result.trigger_errors or result.coverage_errors: + click.echo( + f"\n[WARN] {len(result.trigger_errors)} trigger and " + f"{len(result.coverage_errors)} coverage grader call(s) " + f"failed and are excluded from the scores above:" + ) + for err in result.trigger_errors: + click.echo(f" - trigger: {err.prompt.question} — {err.reason}") + for err in result.coverage_errors: + click.echo(f" - coverage: {err.prompt.question} — {err.reason}") + if ( not result.misses and not result.coverage_misses and not result.coverage_ambiguous + and not result.trigger_errors + and not result.coverage_errors ): click.echo("\nAll prompts graded correctly with full body support.") diff --git a/openkb/skill/evaluator.py b/openkb/skill/evaluator.py index 8185ea12..426d4be8 100644 --- a/openkb/skill/evaluator.py +++ b/openkb/skill/evaluator.py @@ -18,11 +18,15 @@ 2. Generator LLM produces N should-trigger + N should-not prompts, using description AND body so prompts reflect what the skill actually claims to cover, not just description vibes. - 3. Trigger grader sees ONLY the description and answers - trigger / no-trigger for each prompt — same as before. - 4. Alignment grader sees the SKILL.md body+references and each - should-trigger prompt; answers "supported / unsupported" — does the - skill have the substance to handle this question? + 3. Trigger grader (description-only, runs on every prompt) and + alignment grader (body + references, runs on should-trigger + prompts only) are dispatched concurrently via ``asyncio.gather``, + bounded by ``EVAL_CONCURRENCY``. Each grader is independent so + the two passes overlap completely. + 4. Failed gradings (e.g. ``MaxTurnsExceeded``) are captured per task + via ``return_exceptions=True`` so a single failure doesn't discard + the other ~29 successful gradings; errored prompts are surfaced + separately and excluded from the rate denominators. 5. Report both pass rates and the specific misses. Uses the same LiteLLM model the rest of the KB uses (config.yaml). No @@ -48,8 +52,11 @@ REFERENCES_PREVIEW_BYTES = 4000 # cap reference content fed to the eval LLM # Bound on concurrent grader LLM calls in run_eval. Without this the # default count=10 would fire ~30 simultaneous requests, which most -# providers rate-limit. 8 is a conservative starting point — runs ~4x -# the sequential baseline while staying well under typical RPM caps. +# providers rate-limit. 8 is a conservative starting point — the +# semaphore acts as a sliding window across the combined trigger + coverage +# pool, so realistic speedup ranges from 30/8 (~3.75x) to 8x depending +# on per-call latency variance. Bumping this up trades rate-limit risk +# for wall-clock latency. EVAL_CONCURRENCY = 8 @@ -86,6 +93,14 @@ class EvalResult: # grader-malfunction doesn't silently inflate ``coverage_misses`` and # deflate ``coverage_rate``. coverage_ambiguous: list[CoverageMiss] = field(default_factory=list) + # Prompts whose grader raised (typically ``RuntimeError`` from a + # ``MaxTurnsExceeded`` wrap or a malformed-response failure inside + # the SDK). Captured per-task via ``return_exceptions=True`` in + # ``run_eval`` so one failure doesn't discard the other ~29 + # gradings. Errors are excluded from rate denominators — we don't + # know what the verdict would have been. + trigger_errors: list[CoverageMiss] = field(default_factory=list) + coverage_errors: list[CoverageMiss] = field(default_factory=list) @property def total(self) -> int: @@ -93,11 +108,17 @@ def total(self) -> int: @property def passed(self) -> int: - return self.total - len(self.misses) + return self.trigger_scored - len(self.misses) + + @property + def trigger_scored(self) -> int: + """Trigger prompts the grader returned a verdict on (no error).""" + return self.total - len(self.trigger_errors) @property def pass_rate(self) -> float: - return self.passed / self.total if self.total else 0.0 + scored = self.trigger_scored + return self.passed / scored if scored else 0.0 @property def trigger_questions(self) -> int: @@ -105,18 +126,26 @@ def trigger_questions(self) -> int: @property def coverage_passed(self) -> int: - # Ambiguous outputs are excluded from both numerator and - # denominator — see ``coverage_rate``. - scored = self.trigger_questions - len(self.coverage_ambiguous) + # Ambiguous and errored outputs are excluded from both numerator + # and denominator — see ``coverage_rate``. + scored = ( + self.trigger_questions + - len(self.coverage_ambiguous) + - len(self.coverage_errors) + ) return scored - len(self.coverage_misses) @property def coverage_rate(self) -> float: # Score only the trigger prompts the grader gave a clear verdict - # on. A garbled run that flips half the outputs to ambiguous - # should narrow the denominator, not pretend half the body is - # hollow. - scored = self.trigger_questions - len(self.coverage_ambiguous) + # on. A garbled run that flips half the outputs to ambiguous or + # errors out should narrow the denominator, not pretend half the + # body is hollow. + scored = ( + self.trigger_questions + - len(self.coverage_ambiguous) + - len(self.coverage_errors) + ) return self.coverage_passed / scored if scored else 0.0 @@ -397,18 +426,32 @@ async def _coverage(p: EvalPrompt) -> tuple[ coverage_prompts = [p for p in eval_set if p.expected == "trigger"] coverage_tasks = [_coverage(p) for p in coverage_prompts] + # return_exceptions=True so one failed grader doesn't discard the + # other ~29 successful gradings. Errored prompts are surfaced + # separately on the result and excluded from rate denominators. trigger_results, coverage_results = await asyncio.gather( - asyncio.gather(*trigger_tasks), - asyncio.gather(*coverage_tasks), + asyncio.gather(*trigger_tasks, return_exceptions=True), + asyncio.gather(*coverage_tasks, return_exceptions=True), ) # Walk inputs in original order so `result.*` lists are deterministic # even though the gather() above completed out of order. for prompt, graded in zip(eval_set, trigger_results): + if isinstance(graded, BaseException): + result.trigger_errors.append( + CoverageMiss(prompt=prompt, reason=str(graded)) + ) + continue if graded != prompt.expected: result.misses.append(EvalMiss(prompt=prompt, graded=graded)) - for prompt, (verdict, reason) in zip(coverage_prompts, coverage_results): + for prompt, outcome in zip(coverage_prompts, coverage_results): + if isinstance(outcome, BaseException): + result.coverage_errors.append( + CoverageMiss(prompt=prompt, reason=str(outcome)) + ) + continue + verdict, reason = outcome if verdict == "ambiguous": result.coverage_ambiguous.append( CoverageMiss(prompt=prompt, reason=reason) diff --git a/tests/test_skill_evaluator.py b/tests/test_skill_evaluator.py index 21b354c3..7c30e8dc 100644 --- a/tests/test_skill_evaluator.py +++ b/tests/test_skill_evaluator.py @@ -315,6 +315,49 @@ async def mixed_coverage(content, question, *, model): assert result.coverage_rate == pytest.approx(0.5) +@pytest.mark.asyncio +async def test_run_eval_captures_grader_failures_without_aborting(tmp_path): + """A single grader failure must NOT abort the whole eval. The failed + prompt goes into trigger_errors/coverage_errors and is excluded from + rate denominators; the other prompts grade normally.""" + skill_dir = _make_skill(tmp_path) + eval_set = _build_eval_set(2, 2) # 2 trigger + 2 no-trigger + + async def flaky_trigger(description, question, *, model): + if question == "trig 0": + raise RuntimeError("max-turn cap hit") + # Everything else: perfect grader + match = next(p for p in eval_set if p.question == question) + return match.expected + + async def flaky_coverage(content, question, *, model): + if question == "trig 1": + raise RuntimeError("malformed grader output") + return "supported", "" + + with patch("openkb.skill.evaluator.grade_one", side_effect=flaky_trigger), \ + patch("openkb.skill.evaluator.grade_coverage", side_effect=flaky_coverage): + result = await run_eval(skill_dir, model="gpt-4o-mini", eval_set=eval_set) + + # 4 prompts total; one trigger errored, one coverage errored. + assert result.total == 4 + assert len(result.trigger_errors) == 1 + assert result.trigger_errors[0].prompt.question == "trig 0" + assert "max-turn cap" in result.trigger_errors[0].reason + assert len(result.coverage_errors) == 1 + assert result.coverage_errors[0].prompt.question == "trig 1" + assert "malformed" in result.coverage_errors[0].reason + + # Trigger: 3 prompts scored (1 errored), all correct -> 3/3 = 100% + assert result.trigger_scored == 3 + assert result.passed == 3 + assert result.pass_rate == pytest.approx(1.0) + + # Coverage: 2 trigger prompts, 1 errored, 1 supported -> 1/1 = 100% + assert result.coverage_passed == 1 + assert result.coverage_rate == pytest.approx(1.0) + + # -------- save/load round-trip ------------------------------------------------ From 526e7d270514be889b318f94961c7b51cd2c7ff0 Mon Sep 17 00:00:00 2001 From: mountain Date: Thu, 21 May 2026 15:16:54 +0800 Subject: [PATCH 35/35] =?UTF-8?q?chore:=20ignore=20output/=20=E2=80=94=20g?= =?UTF-8?q?enerator=20artifacts,=20not=20source?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Every `openkb skill new` writes to `/output/skills//`. When the KB happens to be the openkb repo itself (e.g. dogfooding the skill factory from the project root), the untracked artifacts show up as `??` in git status forever. Goes alongside raw/, wiki/, and .openkb/ in the "Knowledge base test artifacts" section — same intent: generator outputs and user data, never source. Note: `skills/openkb/` (the canonical dogfooded skill checked into this repo) is at the top-level `skills/` directory, separate from `output/skills/`, so this ignore does not accidentally hide committed content. --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 9c01cd69..c448d275 100644 --- a/.gitignore +++ b/.gitignore @@ -13,6 +13,7 @@ venv/ raw/ wiki/ .openkb/ +output/ # Local only docs/