Skill audit report
挖掘用户真正想要的东西，而不是他们觉得自己“应该”要的东西。实现方式是一次一问的访谈，直到对底层意图达到约 95% 的置信度。当一个请求信息不全时（"build me X" 却没说 "for whom" 或 "why now"）、当用户明确发出邀请（"interview me"、"grill me"、"are we sure?"、"stress-test my thinking"）、或者当你在任何 plan、spec 或代码存在之前发现自己悄悄补全着含糊的需求时，使用它。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
32 GitHub stars
Stars/forks activity
WARN43
32 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
18d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add vinvcn/addyosmani-agent-skills-zh --skill interview-me
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/vinvcn/addyosmani-agent-skills-zh/tree/main/skills/interview-me
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add vinvcn/addyosmani-agent-skills-zh --skill interview-me
Repository
88
https://github.com/vinvcn/addyosmani-agent-skills-zh/tree/main/skills/interview-me
License
86
MIT
Maintenance
100
18d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
43
32 stars, 7 forks; issue activity unavailable in current metadata
Adoption
42
32 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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