Skill audit report

MonkeyCode Audit report.

企业级 AI 开发平台，内置了开发环境管理、AI 模型管理、AI 任务管理、项目需求管理等能力，是真正面向专业开发团队的 AI 助手

VERIFIED · REVIEWSafe to tryGenerated Nov 10, 2026Heuristic metadata audit

Audit

Trust

100

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Production candidate

OpenAgentSkill Trust Score

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

GitHub adoption

PASS

3.4K GitHub stars

Stars/forks activity

PASS

3.4K stars, 419 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

5mo since push

License clarity

PASS

AGPL-3.0

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

no major dependency risk hints in public metadata

Install availability

PASS

npx skills add chaitin/MonkeyCode

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

https://github.com/chaitin/MonkeyCode

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

10 Passed · 1 Needs review

Install path

PASS

npx skills add chaitin/MonkeyCode

Repository

PASS

https://github.com/chaitin/MonkeyCode

License

PASS

AGPL-3.0

Maintenance

CHECK

5mo since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

no major dependency risk hints in public metadata

Install command safety

PASS

standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

PASS

3.4K stars, 419 forks; issue activity unavailable in current metadata

Adoption

PASS

3.4K GitHub stars

Warnings

No major warnings from available 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.

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 + AI Agents
Alternatives: 3

Open agent JSON

Signals

Audit score: 90/100
Quality: 100/100
Trust: 87/100
Install safety: 92/100
Permission surface: 100/100
Maintenance: 5mo since push
Events: 34 events
GitHub stars: 3.4K
Last push: Jun 18, 2026

Agent safety v2

86/100 · Avoid automatic install

Verifiedreview

Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace 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.

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.
Verified listing
Safe-to-try audit
86/100 agent safety score

Network access

medium

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

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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MonkeyCode Audit report.

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