Skill audit report
ZLToolKit audit report.
一个基于C++11的轻量级网络框架，基于线程池技术可以实现大并发网络IO
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
2.2K GitHub stars
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency risk
PASS82
database surface
Install availability
PASS92
npx skills add ZLMediaKit/ZLToolKit
Repository evidence
PASS86
https://github.com/ZLMediaKit/ZLToolKit
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add ZLMediaKit/ZLToolKit
Repository
88
https://github.com/ZLMediaKit/ZLToolKit
License
86
MIT
Maintenance
88
2mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
database surface
Adoption
88
2.2K 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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