skills/magnus919_agent-skills
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feat(ci): add mypy, radon, and deptry to CI pipeline

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Add mypy strict type checking, radon cyclomatic complexity analysis,
and deptry unused dependency detection. Fix type annotations in
eval-coverage.py and release.py to pass strict mypy checks.

Resolves 4 agent-readiness signals: type_check, strict_typing,
cyclomatic_complexity, unused_dependencies_detection.

Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
This commit is contained in:
username
2026-07-29 17:52:28 -04:00
co-authored by factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
parent 476d7e11b0
commit bfe05ef18a
5 changed files with 75 additions and 15 deletions
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scripts/eval-coverage.py
+6 -13
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@@ -215,17 +215,9 @@ def coverage_decreased(base_ref_commit: str) -> tuple[bool, float, float]:
# Use the same retained-skill population on both sides of the comparison.
# New and deleted skills are handled by their own ratchet rules.
head_with_retained = sum(
1 for skill_dir in retained_skill_dirs if check_evals(skill_dir)[0]
)
base_pct = (
base_with / len(retained_skill_dirs) * 100 if retained_skill_dirs else 0.0
)
head_pct = (
head_with_retained / len(retained_skill_dirs) * 100
if retained_skill_dirs
else 0.0
)
head_with_retained = sum(1 for skill_dir in retained_skill_dirs if check_evals(skill_dir)[0])
base_pct = base_with / len(retained_skill_dirs) * 100 if retained_skill_dirs else 0.0
head_pct = head_with_retained / len(retained_skill_dirs) * 100 if retained_skill_dirs else 0.0
return head_pct < base_pct, base_pct, head_pct
@@ -250,7 +242,7 @@ def main() -> int:
skills = find_skills()
total = len(skills)
skill_states: list[dict] = []
skill_states: list[dict[str, object]] = []
without_evals: list[str] = []
for skill_dir in skills:
@@ -287,6 +279,7 @@ def main() -> int:
"reason": not_assessed_reasons[state],
}
coverage_pct = state_summary["schema_valid"]["percentage"]
coverage_pct_float: float = float(coverage_pct) if coverage_pct is not None else 0.0 # type: ignore[arg-type]
# Sort skills without evals: most-referenced first, then alphabetical
ref_counts = {name: count_references(Path(name).name, skills) for name in without_evals}
@@ -301,7 +294,7 @@ def main() -> int:
modified=modified,
current=set(skills),
without_evals={Path(name) for name in without_evals},
coverage_pct=coverage_pct,
coverage_pct=coverage_pct_float,
)
# Monotonic coverage floor: fail if coverage decreased.