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.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 14, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

1.0K GitHub stars

Stars/forks activity

INFO

1.0K stars, 107 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

100

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

command execution surface, credential or environment access

Install availability

PASS

npx skills add mm7894215/TokenTracker

Install command safety

PASS

standard package or runtime install path

Permission surface

WARN

secrets or environment access, shell or command execution

Repository evidence

PASS

https://github.com/mm7894215/TokenTracker

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 9 Needs review

Install path

PASS

npx skills add mm7894215/TokenTracker

Repository

PASS

https://github.com/mm7894215/TokenTracker

License

PASS

MIT

Maintenance

PASS

3mo since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

100

PASS

Usable description available

Dependency risk

FIX

command execution surface, credential or environment access

Install command safety

PASS

standard package or runtime install path

Permission surface

FIX

secrets or environment access, shell or command execution

Stars/forks activity

CHECK

1.0K stars, 107 forks; issue activity unavailable in current metadata

Adoption

PASS

1.0K GitHub stars

Warnings

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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.

Install path

Review the report before installing into production agents.

Review the source

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: JavaScript + AI Agents
Alternatives: 3

Open agent JSON

Signals

Audit score: 83/100
Quality: 81/100
Trust: 80/100
Install safety: 92/100
Permission surface: 50/100
Maintenance: 3mo since push
Events: 12 events
GitHub stars: 1.0K
Last push: Jul 19, 2026

Agent safety v2

47/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.
Metadata combines secrets access with shell or command execution
High-risk permission hints: Shell or command execution, Secrets or environment access
47/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Secrets or environment access

high

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

High-risk permission hints: Shell or command execution, Secrets or environment access
Dependency or permission surface needs review
Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.

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TokenTracker Audit report.

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