Skill audit report
TokenTracker audit report.
Track token usage across 22 AI coding tools (Claude Code, Codex, Cursor, Gemini, Roo Code, Zed Agent, Goose, and more) — local-first, zero-config, with a beautiful dashboard, native macOS menu bar app, and 4 desktop widgets.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, 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
INFO76
661 GitHub stars
Recent maintenance
PASS100
8d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS100
Metadata includes enough usage and workflow context
Dependency risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add mm7894215/TokenTracker
Repository evidence
PASS86
https://github.com/mm7894215/TokenTracker
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add mm7894215/TokenTracker
Repository
88
https://github.com/mm7894215/TokenTracker
License
86
MIT
Maintenance
100
8d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
100
Usable description available
Dependency risk
54
command execution surface, credential or environment access
Adoption
88
661 GitHub stars
Warnings
- Dependency or permission surface needs review
- Quality score needs review
- Dependency risk: command execution surface, credential or environment access
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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