Skill audit report

Dual AI Chat audit report.

一个先进的聊天应用，演示了一种独特的对话范式：用户的查询首先由两个不同的人工智能角色进行辩论和提炼，然后才提供最终的综合答案。该项目利用 Google Gemini API 驱动一个逻辑型 AI (Cognito) 和一个怀疑型 AI (Muse)，它们协作生成更健壮、准确和经过严格审查的响应。

REVIEWED · REVIEWSafe to tryGenerated Jul 4, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

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

347 GitHub stars

Stars/forks activity

INFO

347 stars, 65 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

1mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

network or browser surface

Install availability

PASS

npx skills add yeahhe365/Dual-AI-Chat

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

filesystem or document access, network or browser access

Repository evidence

PASS

https://github.com/yeahhe365/Dual-AI-Chat

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

8 passed · 3 review

Install path

PASS

npx skills add yeahhe365/Dual-AI-Chat

Repository

PASS

https://github.com/yeahhe365/Dual-AI-Chat

License

PASS

MIT

Maintenance

PASS

1mo since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

network or browser surface

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

filesystem or document access, network or browser access

Stars/forks activity

CHECK

347 stars, 65 forks; issue activity unavailable in current metadata

Adoption

INFO

347 GitHub stars

Warnings

Quality score needs review

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 yeahhe365/Dual-AI-Chat

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 + Chatbot
Alternatives: 3

Open agent JSON

Signals

Audit score: 82/100
Quality: 77/100
Trust: 79/100
Install safety: 92/100
Permission surface: 72/100
Maintenance: 1mo since push
Events: 3 events
GitHub stars: 347
Last push: May 22, 2026

Agent safety v2

66/100 · 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.

Quality score needs review
66/100 agent safety score

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.

Quality score needs review

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Dual AI Chat audit report.

Stars, maintenance, license, docs, install safety, permission surface, and installability.

Install and adoption review

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