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* feat(skills): add skill review quality gate * fix(skills): skip review eval fixtures in CI * fix(skills): ignore review eval fixtures in bundled scans * fix(skill-review): harden review gate boundaries * fix(skills): address skill review gate feedback
35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
"""Validate every bundled SKILL.md under skills/public/.
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Catches regressions like #2443 — a SKILL.md whose YAML front-matter fails to
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parse (e.g. an unquoted description containing a colon, which YAML interprets
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as a nested mapping). Each bundled skill is checked individually so the
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failure message identifies the exact file.
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"""
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from pathlib import Path
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import pytest
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from deerflow.skills.package_paths import is_eval_fixture_skill_md
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from deerflow.skills.validation import _validate_skill_frontmatter
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SKILLS_PUBLIC_DIR = Path(__file__).resolve().parents[2] / "skills" / "public"
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BUNDLED_SKILL_DIRS = sorted(p.parent for p in SKILLS_PUBLIC_DIR.rglob("SKILL.md") if not is_eval_fixture_skill_md(p.relative_to(SKILLS_PUBLIC_DIR)))
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@pytest.mark.parametrize(
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"skill_dir",
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BUNDLED_SKILL_DIRS,
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ids=lambda p: str(p.relative_to(SKILLS_PUBLIC_DIR)),
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)
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def test_bundled_skill_frontmatter_is_valid(skill_dir: Path) -> None:
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valid, msg, name = _validate_skill_frontmatter(skill_dir)
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assert valid, f"{skill_dir.relative_to(SKILLS_PUBLIC_DIR)}: {msg}"
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assert name, f"{skill_dir.relative_to(SKILLS_PUBLIC_DIR)}: no name extracted"
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def test_skills_public_dir_has_skills() -> None:
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assert BUNDLED_SKILL_DIRS, f"no SKILL.md found under {SKILLS_PUBLIC_DIR}"
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