Skill audit report
Agent Skills With Anthropic audit report.
本项目围绕吴恩达老师在DeepLearning.AI出品的agent-skills-with-anthropic系列课程，为学习者打造中文翻译与知识整理教程。项目提供课程内容翻译、知识点梳理和示例代码解读等内容，欢迎大家Star!
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
1.3K GitHub stars
Recent maintenance
PASS100
14d since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add datawhalechina/agent-skills-with-anthropic
Repository evidence
PASS86
https://github.com/datawhalechina/agent-skills-with-anthropic
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add datawhalechina/agent-skills-with-anthropic
Repository
88
https://github.com/datawhalechina/agent-skills-with-anthropic
License
45
Unknown
Maintenance
100
14d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
1.3K GitHub stars
Warnings
- License is unclear
- License clarity: Unknown
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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