Skill audit report
MonkeyCode audit report.
企业级 AI 开发平台，内置了开发环境管理、AI 模型管理、AI 任务管理、项目需求管理等能力，是真正面向专业开发团队的 AI 助手
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, and installability.
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
PASS86
3.3K GitHub stars
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
AGPL-3.0
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add chaitin/MonkeyCode
Repository evidence
PASS86
https://github.com/chaitin/MonkeyCode
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add chaitin/MonkeyCode
Repository
88
https://github.com/chaitin/MonkeyCode
License
86
AGPL-3.0
Maintenance
100
Pushed today
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
Adoption
88
3.3K GitHub stars
Warnings
No major warnings detected from available metadata.
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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