cross-modal-review

Route work output to a different model for contract-based evaluation.

Updated May 11, 2026

Search Tags:#automation #evaluation #quality-gate #code-review #contract #cross-model #model-review

Ready to run

npx skills add https://github.com/yunusgungor/gbrain --skill cross-modal-review-yunusgungor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cross-modal-review
Source: https://github.com/yunusgungor/gbrain/tree/main/skills/cross-modal-review
Command: npx skills add https://github.com/yunusgungor/gbrain --skill cross-modal-review-yunusgungor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-Modal Review ensures output is evaluated by a different AI model before finalizing, providing transparent disagreement/approval signals and silent refusal routing between models.

Core Features & Use Cases

Guarantees a cross-model evaluation against a Contract
Provides transparent agreement/disagreement signaling
Supports refusal routing to move to alternative reviewers
Applies to code diffs, brain pages, or any output that requires validation

Quick Start

Invoke cross-modal-review to route the current work to a second model for evaluation and present the results for user decision.

Frequently Asked Questions about cross-modal-review

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

FAQPage Schema

How do I get a second AI model to review my code changes before finalizing?▼

To get a second AI model review, you route your code diffs to a different model for independent evaluation against the originating contract. This cross-model evaluation provides transparent disagreement or approval signals before finalization.

What is cross-model evaluation for quality gates?▼

Cross-model evaluation is a quality gate process that routes work output to a different AI model for validation against a contract. It ensures independent verification by providing transparent agreement or disagreement signals before finalizing code or content.

How do I handle an AI model refusing to evaluate my code during an automated review?▼

When an AI model refuses to evaluate your code during an automated review, the cross-modal review process implements silent routing. This automatically moves the evaluation task to an alternative reviewer model without interrupting your workflow.

Can I use automated contract-based evaluation for content other than code?▼

Yes, you can use automated contract-based evaluation for content other than code. The cross-model review process applies to brain-page content, code diffs, and any other output that requires validation before finalization.

Does cross-model review work without setting up dependencies?▼

Yes, cross-model review works without setting up external dependencies. The skill operates independently to route work output to a second model and enforce contract-based evaluation by providing transparent findings for your decision.

What are the limitations of using a different model for code review validation?▼

A key limitation of using a different model for code review validation is the potential for model refusal. However, the process mitigates this by using silent routing to automatically move to alternative reviewers when a model refuses the evaluation task.