Skill audit report
iOS、Web前端、后端、数据库、计算机网络、设计模式经验总结
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
926 GitHub stars
Stars/forks activity
INFO71
926 stars, 226 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
5mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add FantasticLBP/knowledge-kit
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/FantasticLBP/knowledge-kit
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add FantasticLBP/knowledge-kit
Repository
88
https://github.com/FantasticLBP/knowledge-kit
License
86
MIT
Maintenance
76
5mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
71
926 stars, 226 forks; issue activity unavailable in current metadata
Adoption
88
926 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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