Skill audit report
AI Agent开发进阶笔记，包含可运行的零依赖Node.js代码，讲解coding agent内部机制。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
275 GitHub stars
Stars/forks activity
WARN57
275 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS84
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add 7-e1even/learn-agent
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
secrets or environment access, network or browser access
Repository evidence
PASS86
https://github.com/7-e1even/learn-agent
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add 7-e1even/learn-agent
Repository
88
https://github.com/7-e1even/learn-agent
License
86
MIT
Maintenance
88
2mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
60
secrets or environment access, network or browser access
Stars/forks activity
57
275 stars, 13 forks; issue activity unavailable in current metadata
Adoption
68
275 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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