Is this skill part of a larger plugin?

Yes, it is part of the codex plugin, designed to provide advanced development utilities within the Claude Code interface.

Can I customize the review criteria?

Yes, the workflow allows you to specify review axes such as security, correctness, or performance to focus the AI's attention.

Why should I use a second model for code reviews?

Different AI models have unique training data and strengths; using Gemini alongside Claude helps catch logical errors or edge cases that a single model might overlook.

What kind of context should I provide for a review?

For the best results, provide narrow, reviewable diffs or key files along with a summary of your intent and any specific constraints.

What is the Gemini Peer Review skill?

It is a specialized capability for Claude Code that facilitates a secondary review of your code changes by using the Gemini model to ensure accuracy and security.

Gemini Peer Review

Name: Gemini Peer Review
Author: rozwer

byrozwer

Collaboration Tools

Conducts cross-model code reviews by leveraging Google Gemini to provide a second opinion on code diffs for improved security and correctness.

About

The Gemini Peer Review skill enhances your development workflow by integrating a multi-model validation layer directly into your coding environment. It allows developers to request a 'second opinion' on specific code changes, focusing on security, edge cases, and logical correctness. By utilizing a different model architecture for the review process, this skill helps identify blind spots and ensures high-quality code delivery through structured review axes and intent-aware analysis.

Key Features

Multi-model code validation for unbiased reviews
0 GitHub stars
Cross-model logic verification
Structured review axes including security and edge cases
Diff-based analysis for focused context
Intent-aware review summarization

Use Cases

Identifying security vulnerabilities in complex logic
Validating mission-critical code changes before merging
Getting a second opinion on architecture and refactoring decisions

About

Key Features

Multi-model code validation for unbiased reviews
0 GitHub stars
Cross-model logic verification
Structured review axes including security and edge cases
Diff-based analysis for focused context
Intent-aware review summarization

Use Cases

Identifying security vulnerabilities in complex logic
Validating mission-critical code changes before merging
Getting a second opinion on architecture and refactoring decisions