Skill audit report
learn Audit report.
Use when users /learn, save, remember, or distill lessons.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
11K GitHub stars
Stars/forks activity
PASS92
11K stars, 607 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
WARN60
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add tigerless-labs/autoharness --skill learn
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/tigerless-labs/autoharness/tree/main/skills/learn
Review status
WARN46.22
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add tigerless-labs/autoharness --skill learn
Repository
88
https://github.com/tigerless-labs/autoharness/tree/main/skills/learn
License
86
MIT
Maintenance
100
2d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
92
11K stars, 607 forks; issue activity unavailable in current metadata
Adoption
88
11K GitHub stars
Warnings
- AI review approval is missing
- Quality score needs review
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
- Review status: AI review approval is missing
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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