model-review

Coordinate cross-model reviews of architectural, code, or design decisions using Gemini 3.1 Pro and GPT-5.2.

Updated Nov 9, 2025
One-click install
npx skills add https://github.com/markusstrasser/skills --skill model-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: model-review
Source: https://github.com/markusstrasser/skills/tree/main/model-review
Command: npx skills add https://github.com/markusstrasser/skills --skill model-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-model reviews automate adversarial critique of architectural, code, or design decisions by orchestrating multiple AI models to surface blind spots, inconsistencies, and improvement opportunities.

Core Features & Use Cases

  • Independent cross-model evaluation using Gemini 3.1 Pro and GPT-5.2 to provide diverse perspectives.
  • Structured outputs including issue extraction, risk/disposition assessment, and a synthesized set of recommendations.
  • Use cases include architecture reviews, security/design decisions, and design trade-off analyses for complex projects.

Quick Start

Initiate a cross-model review by invoking the model-review skill on your project topic or decision.

Frequently Asked Questions about model-review

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

FAQPage Schema
How do I run a cross-model architecture review for my software project?

To run a cross-model architecture review, invoke the skill on your project decision to coordinate independent critiques using Gemini 3.1 Pro and GPT-5.2, which outputs issue extraction, disposition, and synthesis.

What is cross-model critique and how does it improve code analysis?

Cross-model critique automates adversarial code analysis by orchestrating multiple AI models to surface blind spots and inconsistencies, providing diverse perspectives that strengthen architectural and design decisions.

Do I need llmx and specific models to perform cross-model design critiques?

Yes, cross-model design critiques require llmx, Gemini 3.1 Pro, and GPT-5.2 to independently evaluate decisions and synthesize recommendations for your software projects.

Can I use constitutional anchoring for cross-model code analysis?

Yes, cross-model code analysis supports constitutional anchoring via CONSTITUTION.md to guide the independent evaluation and synthesis process for architectural and design trade-offs.

What is the best way to analyze design trade-offs using multiple AI models?

The best way to analyze design trade-offs is using cross-model review in brainstorming mode, which synthesizes independent evaluations from Gemini 3.1 Pro and GPT-5.2 into structured recommendations.

When should I not use automated cross-model reviews for software architecture?

Automated cross-model reviews should be avoided for simple projects not requiring independent critique or when lacking the required Gemini 3.1 Pro and GPT-5.2 dependencies.