Skill audit report
MATLAB Simulink Challenge Project Hub audit report.
This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, 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
2.1K GitHub stars
Stars/forks activity
PASS83
2.1K stars, 392 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
1d since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
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 mathworks/MATLAB-Simulink-Challenge-Project-Hub
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add mathworks/MATLAB-Simulink-Challenge-Project-Hub
Repository
88
https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub
License
45
Unknown
Maintenance
100
1d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
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
83
2.1K stars, 392 forks; issue activity unavailable in current metadata
Adoption
88
2.1K GitHub stars
Warnings
- License is unclear
- License clarity: Unknown
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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