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Modeling App Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Modeling App/Audit

Skill audit report

Modeling App Audit report.

The Zoo Design Studio app.

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

85

Audit

82

Trust

90

Quality

87

Security

76

Maintain

92

Install

OpenAgentSkill Trust Score

82

Strong shortlist

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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OpenAgentSkill Trust Score

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

GitHub adoption

PASS

86

1.2K GitHub stars

Stars/forks activity

INFO

77

1.2K stars, 112 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

76

3mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

WARN

50

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add KittyCAD/modeling-app

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

network or browser access

Repository evidence

PASS

86

https://github.com/KittyCAD/modeling-app

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 4 Needs review

Install path

92

PASS

npx skills add KittyCAD/modeling-app

Repository

88

PASS

https://github.com/KittyCAD/modeling-app

License

86

PASS

MIT

Maintenance

76

CHECK

3mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

network or browser access

Stars/forks activity

77

CHECK

1.2K stars, 112 forks; issue activity unavailable in current metadata

Adoption

88

PASS

1.2K GitHub stars

Warnings

Documentation summary is thin
README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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: TypeScript + Playwright
Alternatives: 3

Open agent JSON

Signals

Audit score: 85/100
Quality: 90/100
Trust: 82/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 3mo since push
Events: 28 events
GitHub stars: 1.2K
Last push: Jun 13, 2026

Agent safety v2

69/100 · Avoid automatic install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

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.
Safe-to-try audit
69/100 agent safety score

Browser automation

medium

Skill may drive a browser or interact with web pages.

Network access

medium

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

Documentation summary is thin
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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