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cross-agent-review

Performs multi-model structured content review with JSON scoring and feedback.

Updated Aug 23, 2026
Search Tags:#quality assurance#multi-model#review#content analysis#AI critique
One-click install
npx skills add https://github.com/kpachhai/idea-forge --skill cross-agent-review-kpachhai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cross-agent-review
Source: https://github.com/kpachhai/idea-forge/tree/main/skills/review/cross-agent-plan-review
Command: npx skills add https://github.com/kpachhai/idea-forge --skill cross-agent-review-kpachhai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables automated, multi-perspective review of diverse content types to enhance quality and uncover hidden issues.

Core Features & Use Cases

  • Multi-model Critiquing: Utilizes multiple AI critics to assess content independently, providing diverse insights.
  • Structured Feedback & Scoring: Produces detailed JSON evaluations with scores on various dimensions.
  • Use Case: A team wants to ensure a technical document is robust by gathering adversarial feedback from Claude, Codex, and Gemini before publication.

Quick Start

Feed the content to be reviewed into the system, then initiate the cross-agent critique process to receive structured analyses and recommendations.

Frequently Asked Questions about cross-agent-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform multi-model content critique for quality assurance?▼

Multi-model content critique uses multiple AI critics to independently assess content, scoring key quality dimensions to identify issues and provide structured feedback for rigorous validation.

What is the best way to get adversarial feedback on technical documents before publication?▼

The best way to get adversarial feedback is using a cross-agent review process, where multiple AI critics like Claude, Codex, and Gemini independently analyze the technical document to uncover hidden issues.

How do I get structured JSON evaluations and scoring for code or proposals?▼

Structured JSON evaluations are generated by feeding your code or proposals into a multi-model review system, which scores various quality dimensions and outputs detailed feedback from each AI critic.

Can I use multiple AI critics to review different types of content like code and technical documents?▼

Yes, you can use multiple AI critics to review diverse content types including code, technical documents, and proposals, ensuring robust validation through independent multi-perspective analysis.

Do I need specific dependencies to run a multi-model AI critique?▼

No specific dependencies are required to run a multi-model AI critique, as the system operates independently using its internal scripts and references to facilitate the structured review process.

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