Skill audit report
mathmodel-copilot Audit report.
Evidence-based competition workflow for CUMCM, MCM/ICM, Diangong and custom modeling contests, including requirements, actual runs, independent validation, papers, team handoff and submission audit. Do not trigger for unrelated data analysis or ordinary paper review. Maintenance requests modify the product rather than start a contest.
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
40 GitHub stars
Stars/forks activity
WARN43
40 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
4d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add Odyphus/MathModel-Copilot --skill mathmodel-copilot
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/Odyphus/MathModel-Copilot/tree/main/skills/mathmodel-copilot
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 Odyphus/MathModel-Copilot --skill mathmodel-copilot
Repository
88
https://github.com/Odyphus/MathModel-Copilot/tree/main/skills/mathmodel-copilot
License
86
MIT
Maintenance
100
4d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
43
40 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
40 GitHub stars
Warnings
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- GitHub adoption: 40 GitHub stars
- Stars/forks activity: 40 stars, 0 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.
Compare nearby options
Related skills to audit next
Awesome Llm Apps
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
114K Stars · Audit report
Hello Agents
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
59K Stars · Audit report
Llm App
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
59K Stars · Audit report