Skill audit report
Generate and run minimal reproducible MATLAB or Beita Tianyuan compatible code for the human-approved main method and usable baseline, with compact experiment artifacts and a canonical run summary.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
695 GitHub stars
Stars/forks activity
INFO65
695 stars, 31 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
23d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add zhnnky329/MathModeling-skills --skill matlab-model-code-generator
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/matlab-model-code-generator
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add zhnnky329/MathModeling-skills --skill matlab-model-code-generator
Repository
88
https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/matlab-model-code-generator
License
86
MIT
Maintenance
100
23d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
88
database access
Stars/forks activity
65
695 stars, 31 forks; issue activity unavailable in current metadata
Adoption
88
695 GitHub stars
Warnings
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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