code-review-copilot

Review pull requests, branches, commits, or uncommitted changes with multiple AI models.

Updated Feb 14, 2026

Search Tags:#devops #code review #pull request #software development #github copilot #ai code analysis

Ready to run

npx skills add https://github.com/abhichandra21/dotclaude --skill code-review-copilot

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review-copilot
Source: https://github.com/abhichandra21/dotclaude/tree/main/skills/code-review-copilot
Command: npx skills add https://github.com/abhichandra21/dotclaude --skill code-review-copilot

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of code review by leveraging GitHub Copilot CLI and multiple AI models, ensuring code quality, security, and maintainability without manual oversight.

Core Features & Use Cases

Multi-Model Review: Utilizes GPT, Claude, and Gemini models for comprehensive code analysis.
Automated Target Detection: Reviews PRs, branches, commits, or uncommitted changes.
In-depth Analysis: Models fetch diffs and browse the codebase independently for thorough review.
Use Case: Submit a pull request and have multiple AI models analyze it for bugs, security vulnerabilities, and adherence to best practices, providing a consolidated report.

Quick Start

Use the code-review-copilot skill to review the current branch.

Frequently Asked Questions about code-review-copilot

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

FAQPage Schema

How do I automate code reviews on pull requests using AI?▼

Automate code reviews on pull requests by running multi-model AI analysis that fetches diffs and evaluates correctness, security, performance, and maintainability. This Skill uses GitHub Copilot CLI to independently browse the codebase and generate a consolidated review report.

Can I use multiple AI models like GPT, Claude, and Gemini for code analysis?▼

Yes, you can use multiple AI models like GPT, Claude, and Gemini for code analysis. The Skill orchestrates multi-model reviews on branches or uncommitted changes, allowing each model to browse the codebase independently and provide comprehensive feedback.

What is the best way to review uncommitted changes before submitting a pull request?▼

Review uncommitted changes by leveraging automated target detection to analyze your working directory. The Skill performs in-depth AI code analysis on security and performance, providing optional rebuttal and consensus rounds to resolve any detected issues.

Does GitHub Copilot CLI support automated branch and commit reviews?▼

Yes, GitHub Copilot CLI supports automated branch and commit reviews through this Skill. It automatically detects your target branches or commits, fetches the necessary code diffs, and performs deep code analysis without requiring manual oversight.

How do AI models reach a consensus during an automated code review?▼

AI models reach a consensus during an automated code review through optional rebuttal and consensus rounds. After fetching diffs and analyzing code independently, the models cross-examine findings to resolve detailed feedback and confirm issue resolution.

What are the limitations of using AI for multi-model code analysis?▼

A limitation of using AI for multi-model code analysis is that it relies on the models' ability to independently browse the codebase and fetch diffs. While it evaluates maintainability and security, complex architectural context may still require manual verification.