Skill audit report
Audit a repository for architectural decay, AI-generated code smells, stale compatibility paths, dead abstractions, boundary violations, and cleanup candidates without modifying files. Use when the user asks to review code quality, find bad code, inspect AI-generated code, identify refactoring or cleanup opportunities, detect legacy leftovers, or produce a cleanup backlog that requires human confirmation before implementation.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
245 GitHub stars
Stars/forks activity
WARN57
245 stars, 15 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
1d since push
License clarity
PASS86
AGPL-3.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL38
command execution surface, credential or environment access
Install availability
PASS92
npx skills add pqpo/pragma --skill code-cleanup-audit
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/pqpo/pragma/tree/main/.codex/skills/code-cleanup-audit
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add pqpo/pragma --skill code-cleanup-audit
Repository
88
https://github.com/pqpo/pragma/tree/main/.codex/skills/code-cleanup-audit
License
86
AGPL-3.0
Maintenance
100
1d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
38
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
Stars/forks activity
57
245 stars, 15 forks; issue activity unavailable in current metadata
Adoption
68
245 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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