Skill audit report
pkulaw-mcp-doc-link Audit report.
法宝超链增强，用于把法律文书、答复、备忘或研究材料中的法规、案例引用转成可追溯链接。Use when：用户已经有现成文本，希望增强可点击、可追溯的交付版本。NOT for：检索新法规、检索新案例、法条精确查询、法条引用核验。要求链接与引用实体必须来自当次工具返回，不得手工拼接伪链接。
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
64 GitHub stars
Stars/forks activity
WARN43
64 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add NEU-ZHA/legal-ai-skills --skill pkulaw-mcp-doc-link
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/NEU-ZHA/legal-ai-skills/tree/main/skills/pkulaw-mcp-doc-link
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add NEU-ZHA/legal-ai-skills --skill pkulaw-mcp-doc-link
Repository
88
https://github.com/NEU-ZHA/legal-ai-skills/tree/main/skills/pkulaw-mcp-doc-link
License
86
MIT
Maintenance
88
2mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
43
64 stars, 6 forks; issue activity unavailable in current metadata
Adoption
68
64 GitHub stars
Warnings
- AI review approval is missing
- Quality score needs review
- GitHub adoption: 64 GitHub stars
- Stars/forks activity: 64 stars, 6 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
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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