Skill audit report
馃 AI Agent skills for LLMs and AI Agents - Claude, Codex, Cursor etc.
OpenAgentSkill Trust Score
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
14 GitHub stars
Stars/forks activity
FAIL32
14 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
1d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
command execution surface, database surface
Install availability
PASS92
npx skills add a-tokyo/agent-skills
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO64
shell or command execution, database access
Repository evidence
PASS86
https://github.com/a-tokyo/agent-skills
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add a-tokyo/agent-skills
Repository
88
https://github.com/a-tokyo/agent-skills
License
86
MIT
Maintenance
100
1d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
64
command execution surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
64
shell or command execution, database access
Stars/forks activity
32
14 stars, 1 forks; issue activity unavailable in current metadata
Adoption
42
14 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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