Skill audit report
用于升级 AI 系统、agent workflow、Codex skill、prompt、memory、RAG、tool routing、schema、eval set 或 feedback loop；也用于把 AI 工作单从指令单升级为意图单，并对研究、检索、测试和 AI 对话做 VOI 决策门审计。需要 Intent Work Order、WOOP 任务准入、决策对象、VOI/EVPI/EVSI、UL（Uncertainty Ladder，不确定性阶梯）、OODA、eval、Human Gate、versioning 与 rollback 的受控演化时使用。Use when controlled AI system evolution or a decision-oriented information audit is needed.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
378 GitHub stars
Stars/forks activity
WARN57
378 stars, 44 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
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 DY-2026/GameDesignOS --skill paranoia-ai-system-evolver
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/DY-2026/GameDesignOS/tree/main/paranoia-ai-system-evolver
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add DY-2026/GameDesignOS --skill paranoia-ai-system-evolver
Repository
88
https://github.com/DY-2026/GameDesignOS/tree/main/paranoia-ai-system-evolver
License
86
MIT
Maintenance
88
1mo since push
AI review
88
Approved with no listed issues
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
88
database access
Stars/forks activity
57
378 stars, 44 forks; issue activity unavailable in current metadata
Adoption
68
378 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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