Skill audit report
Review an upstream documentation change against the skills, agent instructions, or runbooks that cite it. Identify supported updates, unaffected instructions, and unresolved version or evidence gaps. Use with a supplied source diff or Skill Watch result.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
49 GitHub stars
Stars/forks activity
WARN43
49 stars, 2 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
3d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS94
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add 00200200/maintainer-skills-lab --skill mkl-review-source-change
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/00200200/maintainer-skills-lab/tree/3c8d240f4bca27d561ed28abe078991d481c9071/skills/mkl-review-source-change
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add 00200200/maintainer-skills-lab --skill mkl-review-source-change
Repository
88
https://github.com/00200200/maintainer-skills-lab/tree/3c8d240f4bca27d561ed28abe078991d481c9071/skills/mkl-review-source-change
License
86
MIT
Maintenance
100
3d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
94
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
43
49 stars, 2 forks; issue activity unavailable in current metadata
Adoption
42
49 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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