Skill audit report
LLM Kit audit report.
🚀WebUI integrated platform for latest LLMs | 各大语言模型的全流程工具 WebUI 整合包。支持主流大模型API接口和开源模型。支持知识库，数据库，角色扮演，mj文生图，LoRA和全参数微调，数据集制作，live2d等全流程应用工具
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
550 GitHub stars
Recent maintenance
INFO62
7mo since push
License clarity
PASS86
AGPL-3.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add wpydcr/LLM-Kit
Repository evidence
PASS86
https://github.com/wpydcr/LLM-Kit
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add wpydcr/LLM-Kit
Repository
88
https://github.com/wpydcr/LLM-Kit
License
86
AGPL-3.0
Maintenance
62
7mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
network or browser surface
Adoption
88
550 GitHub stars
Warnings
- Quality score needs review
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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