Skill audit report
构建一个用完即弃的原型来回答某个设计问题。当用户想核实一个状态模型或逻辑是否感觉对劲，或者探索某个 UI 该长什么样时使用。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
21 GitHub stars
Stars/forks activity
FAIL32
21 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo 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 WenWuZhiDao/mattpocock-skills-zh --skill prototype
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/WenWuZhiDao/mattpocock-skills-zh/tree/main/skills/engineering/prototype
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add WenWuZhiDao/mattpocock-skills-zh --skill prototype
Repository
88
https://github.com/WenWuZhiDao/mattpocock-skills-zh/tree/main/skills/engineering/prototype
License
86
MIT
Maintenance
88
2mo 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
32
21 stars, 3 forks; issue activity unavailable in current metadata
Adoption
42
21 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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