Skill audit report

Models audit report.

TUI and CLI for browsing AI models, benchmarks, coding agents, and statuses for AI providers.

REVIEWED · REVIEWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

100

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

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

INFO

445 GitHub stars

Stars/forks activity

WARN

445 stars, 18 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

1d since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

command execution surface

Install availability

PASS

npx skills add reyamira/models

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

shell or command execution, filesystem or document access

Repository evidence

PASS

https://github.com/reyamira/models

Review status

PASS

AI review data available

Checks

Install and adoption review

7 passed · 5 review

Install path

PASS

npx skills add reyamira/models

Repository

PASS

https://github.com/reyamira/models

License

PASS

MIT

Maintenance

100

PASS

1d since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

CHECK

command execution surface

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

shell or command execution, filesystem or document access

Stars/forks activity

FIX

445 stars, 18 forks; issue activity unavailable in current metadata

Adoption

INFO

445 GitHub stars

Warnings

Quality score needs review
Stars/forks activity: 445 stars, 18 forks; issue activity unavailable in current metadata

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.

$ npx skills add reyamira/models

Signals

Audit score: 86/100
Quality: 84/100
Trust: 81/100
Install safety: 92/100
Permission surface: 62/100
Maintenance: 1d since push
Events: No events yet
GitHub stars: 445
Last push: Jun 16, 2026

Agent safety v2

58/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

High-risk permission hints: Shell or command execution
58/100 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.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

High-risk permission hints: Shell or command execution
Quality score needs review

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