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📦 deps(thirdparty): update snapshots

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ci[bot]
2026-07-20 00:03:02 +00:00
parent 47ce7f78dc
commit 2c00adccd5
1216 changed files with 10376 additions and 90058 deletions
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antigravity-awesome-skills/tools/scripts/audit_skills.py
-74
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@@ -23,7 +23,6 @@ def safe_user_path(path_value, base_dir="."):
return resolved_path
from _project_paths import find_repo_root
from risk_classifier import suggest_risk
from validate_skills import configure_utf8_output, has_when_to_use_section, parse_frontmatter
@@ -46,7 +45,6 @@ SECURITY_DISCLAIMER_PATTERN = re.compile(r"AUTHORIZED USE ONLY", re.IGNORECASE)
VALID_RISK_LEVELS = {"none", "safe", "critical", "offensive", "unknown"}
DEFAULT_MARKDOWN_TOP_FINDINGS = 15
DEFAULT_MARKDOWN_TOP_SKILLS = 20
DEFAULT_MARKDOWN_TOP_RISK_SUGGESTIONS = 20
STRICT_BUDGET_PATH = Path("tools/config/audit-skills-strict-budget.json")
@@ -146,7 +144,6 @@ def build_skill_report(
risk = metadata.get("risk")
source = metadata.get("source")
date_added = metadata.get("date_added")
risk_suggestion = suggest_risk(content, metadata)
if name != skill_root.name:
findings.append(
@@ -199,17 +196,6 @@ def build_skill_report(
)
)
if risk_suggestion.risk not in ("unknown", "none"):
risk_needs_review = risk is None or risk == "unknown" or risk != risk_suggestion.risk
if risk_needs_review:
findings.append(
Finding(
"info" if risk in (None, "unknown") else "warning",
"risk_suggestion",
f"Suggested risk is {risk_suggestion.risk} based on: {', '.join(risk_suggestion.reasons[:3])}.",
)
)
if source is None:
findings.append(Finding("warning", "missing_source", "Missing source attribution."))
@@ -264,8 +250,6 @@ def build_skill_report(
rel_file,
findings,
risk=risk,
suggested_risk=risk_suggestion.risk,
suggested_risk_reasons=list(risk_suggestion.reasons),
)
@@ -275,8 +259,6 @@ def finalize_skill_report(
findings: list[Finding],
*,
risk: str | None = None,
suggested_risk: str = "unknown",
suggested_risk_reasons: list[str] | None = None,
) -> dict[str, object]:
severity_counts = Counter(finding.severity for finding in findings)
if severity_counts["error"] > 0:
@@ -294,8 +276,6 @@ def finalize_skill_report(
"warning_count": severity_counts["warning"],
"info_count": severity_counts["info"],
"risk": risk,
"suggested_risk": suggested_risk,
"suggested_risk_reasons": suggested_risk_reasons or [],
"findings": [finding.to_dict() for finding in findings],
}
@@ -322,30 +302,19 @@ def audit_skills(skills_dir: str | Path) -> dict[str, object]:
code_counts = Counter()
severity_counts = Counter()
risk_suggestion_counts = Counter()
for report in reports:
for finding in report["findings"]:
code_counts[finding["code"]] += 1
severity_counts[finding["severity"]] += 1
if report["suggested_risk"] not in (None, "unknown", "none"):
risk_suggestion_counts[report["suggested_risk"]] += 1
summary = {
"skills_scanned": len(reports),
"skills_ok": sum(report["status"] == "ok" for report in reports),
"skills_with_errors": sum(report["status"] == "error" for report in reports),
"skills_with_warnings_only": sum(report["status"] == "warning" for report in reports),
"skills_with_suggested_risk": sum(
report["suggested_risk"] not in ("unknown", "none")
for report in reports
),
"errors": severity_counts["error"],
"warnings": severity_counts["warning"],
"infos": severity_counts["info"],
"risk_suggestions": [
{"risk": risk, "count": count}
for risk, count in risk_suggestion_counts.most_common()
],
"top_finding_codes": [
{"code": code, "count": count}
for code, count in code_counts.most_common()
@@ -367,16 +336,6 @@ def write_markdown_report(report: dict[str, object], destination: str | Path) ->
top_skills = [
skill for skill in skills if skill["status"] != "ok"
][:DEFAULT_MARKDOWN_TOP_SKILLS]
risk_suggestions = [
skill
for skill in skills
if skill.get("suggested_risk") not in (None, "unknown", "none")
and (
skill.get("risk") in (None, "unknown")
or skill.get("risk") != skill.get("suggested_risk")
)
][:DEFAULT_MARKDOWN_TOP_RISK_SUGGESTIONS]
lines = [
"# Skills Audit Report",
"",
@@ -388,18 +347,11 @@ def write_markdown_report(report: dict[str, object], destination: str | Path) ->
f"- Skills ready: **{summary['skills_ok']}**",
f"- Skills with errors: **{summary['skills_with_errors']}**",
f"- Skills with warnings only: **{summary['skills_with_warnings_only']}**",
f"- Skills with suggested risk: **{summary['skills_with_suggested_risk']}**",
f"- Total errors: **{summary['errors']}**",
f"- Total warnings: **{summary['warnings']}**",
f"- Total info findings: **{summary['infos']}**",
]
if summary.get("risk_suggestions"):
summary_text = ", ".join(
f"{item['risk']}: {item['count']}" for item in summary["risk_suggestions"]
)
lines.append(f"- Suggested risks: **{summary_text}**")
lines.extend(
[
"",
@@ -433,24 +385,6 @@ def write_markdown_report(report: dict[str, object], destination: str | Path) ->
else:
lines.append("| _none_ | ok | 0 | 0 |")
lines.extend(
[
"",
"## Risk Suggestions",
"",
"| Skill | Current | Suggested | Why |",
"| --- | --- | --- | --- |",
]
)
if risk_suggestions:
lines.extend(
f"| `{skill['id']}` | {skill.get('risk') or 'unknown'} | {skill.get('suggested_risk') or 'unknown'} | {', '.join(skill.get('suggested_risk_reasons', [])[:3]) or '_n/a_'} |"
for skill in risk_suggestions
)
else:
lines.append("| _none_ | _none_ | _none_ | _n/a_ |")
destination_path = Path(destination).expanduser().resolve()
safe_user_path(destination_path, destination_path.parent).write_text(
"\n".join(lines) + "\n",
@@ -465,17 +399,9 @@ def print_summary(report: dict[str, object]) -> None:
print(f" Ready: {summary['skills_ok']}")
print(f" Warning only: {summary['skills_with_warnings_only']}")
print(f" With errors: {summary['skills_with_errors']}")
print(f" With suggested risk: {summary['skills_with_suggested_risk']}")
print(f" Total warnings: {summary['warnings']}")
print(f" Total errors: {summary['errors']}")
print(f" Total info findings: {summary['infos']}")
if summary.get("risk_suggestions"):
risk_summary = ", ".join(
f"{item['risk']}: {item['count']}"
for item in summary["risk_suggestions"]
)
print(f" Suggested risks: {risk_summary}")
top_findings = summary["top_finding_codes"][:10]
if top_findings:
print(" Top findings:")