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1molchuan
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oh-my-ccg-review

Coordinates Codex and Gemini to cross-review code changes and synthesize a final report.

1|Updated Feb 23, 2026
Search Tags:#quality-assurance#code-review#ai-review#issue-detection#rpi#dual-model
One-click install
npx skills add https://github.com/1molchuan/oh-my-ccg --skill oh-my-ccg-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oh-my-ccg-review
Source: https://github.com/1molchuan/oh-my-ccg/tree/main/skills/oh-my-ccg-review
Command: npx skills add https://github.com/1molchuan/oh-my-ccg --skill oh-my-ccg-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Independent dual-model cross-review enables rapid, autonomous verification of code changes by running both Codex (code-reviewer) and Gemini (designer) in parallel to surface logic, maintainability, and design concerns.

Core Features & Use Cases

  • Parallel dual-model evaluation where Codex analyzes code quality and Gemini assesses design patterns and maintainability.
  • Single-message orchestration of both models with status checks and synchronized outputs.
  • Synthesized findings with deduplication, severity ranking, and cross-model validation to elevate issues found by both models.
  • Report generation and decision guidance, enabling quick gating and archival of review results.

Quick Start

Invoke the oh-my-ccg-review skill to run an independent dual-model cross-review of the latest changes.

Frequently Asked Questions about oh-my-ccg-review

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

FAQPage Schema
How do I run an automated dual-model code review for logic and design issues?▼

Automated dual-model code review uses parallel AI evaluation to detect logic, maintainability, and design issues. Codex analyzes code quality while Gemini assesses design patterns, with results synthesized into a final review report with deduplication and severity ranking.

What is cross-model validation in AI code review?▼

Cross-model validation in AI code review elevates issues found by both a code-focused model and a design-focused model. It applies parallel evaluation and result synthesis to deduplicate findings and rank severity for reliable code change verification.

Can I use Codex and Gemini together in a single code review workflow?▼

Yes, Codex and Gemini can be orchestrated together in a single code review workflow via MCP tools. Codex reviews code quality while Gemini assesses design patterns, running in parallel with synchronized outputs to validate codebase changes.

How do I synthesize AI code review results for decision gating?▼

Synthesizing AI code review results involves deduplicating findings, ranking severity, and cross-validating issues from both models. This generates a final review report with decision guidance and optional state archival for quick codebase gating.

Do I need MCP tools to orchestrate parallel dual-model code review?▼

Yes, MCP tools are required to orchestrate parallel dual-model code review. They enable single-message orchestration of Codex and Gemini, perform status checks, and synchronize outputs to synthesize findings from both models.

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