Skill audit report
JD-driven Chinese resume optimization skill for job seekers, packaged as an installable AI agent skill with prompts and test cases.
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
INFO62
135 GitHub stars
Stars/forks activity
WARN51
135 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS94
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add coinluu/resume-jd-optimizer-cn
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/coinluu/resume-jd-optimizer-cn
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add coinluu/resume-jd-optimizer-cn
Repository
88
https://github.com/coinluu/resume-jd-optimizer-cn
License
86
MIT
Maintenance
100
Pushed today
AI review
88
Approved with no listed issues
README/SKILL.md completeness
94
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
51
135 stars, 6 forks; issue activity unavailable in current metadata
Adoption
68
135 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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