Skill audit report
Autovisor audit report.
2025智慧树刷课脚本 基于Python Playwright的自动化程序 [有免安装版]
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
INFO76
826 GitHub stars
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
WARN50
Public metadata needs stronger README/SKILL.md context
Dependency risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add CXRunfree/Autovisor
Repository evidence
PASS86
https://github.com/CXRunfree/Autovisor
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add CXRunfree/Autovisor
Repository
88
https://github.com/CXRunfree/Autovisor
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
82
network or browser surface
Adoption
88
826 GitHub stars
Warnings
- Quality score needs review
- Documentation summary is thin
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
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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