Skill audit report
pkulaw-mcp-case-number Audit report.
案号识别与溯源，用于从文书、备忘、聊天记录或其他长文本中提取案号并回源案件线索。Use when：用户已经有一段文本，想识别其中的案号、批量抽取案号，或核查案号对应案件信息。NOT for：按争议主题检索案例、法条识别、法规主题检索。要求不得编造案号、法院名称与日期，全部基于当次 MCP 返回。
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-case-number
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-case-number
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-case-number
Repository
88
https://github.com/NEU-ZHA/legal-ai-skills/tree/main/skills/pkulaw-mcp-case-number
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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