Skill audit report
Initialize a disciplined AI co-mathematician research project for Codex. Use when starting a math or economic theory investigation that needs goals.md, paper.tex, workstreams, decisions, reviewer approvals, strict no-hand-waving proof tracking, Lean/code workstreams, or a durable co-math project scaffold.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
70 GitHub stars
Stars/forks activity
WARN48
70 stars, 22 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo 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 morankor/theorist-toolbox --skill co-math-init
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/morankor/theorist-toolbox/tree/master/codex/.agents/skills/co-math-init
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add morankor/theorist-toolbox --skill co-math-init
Repository
88
https://github.com/morankor/theorist-toolbox/tree/master/codex/.agents/skills/co-math-init
License
86
MIT
Maintenance
88
1mo since push
AI review
55
SKILL.md does not explicitly state Python 3 as a prerequisite or describe how to handle a missing/incorrect script path.
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
48
70 stars, 22 forks; issue activity unavailable in current metadata
Adoption
68
70 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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