code-review

Review code changes for bugs, architecture, security, and best practices.

1|Updated Jan 18, 2026

Search Tags:#quality assurance #code review #best practices #security analysis #ai agents #bug detection

Ready to run

npx skills add https://github.com/nielsmadan/agentic-coding --skill code-review-nielsmadan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/nielsmadan/agentic-coding/tree/main/claude/skills/code-review
Command: npx skills add https://github.com/nielsmadan/agentic-coding --skill code-review-nielsmadan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of reviewing code for quality, bugs, security vulnerabilities, and adherence to best practices, ensuring higher code integrity.

Core Features & Use Cases

Comprehensive Code Analysis: Utilizes multiple AI agents to review code from various perspectives (bugs, architecture, security, etc.).
Multi-Model Consensus: Optionally includes reviews from external models like Gemini and Codex for broader consensus.
Use Case: Before merging a pull request, use this Skill to get a thorough review of all changed files, identifying potential issues and suggesting improvements.

Quick Start

Run a code review on the staged changes in the repository.

Frequently Asked Questions about code-review

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

FAQPage Schema

How do I automate code review to catch bugs and security vulnerabilities before merging a pull request?▼

To perform a multi-agent code review, run the review on your staged git changes. The agents will analyze the code diff against project guidelines and historical context to identify bugs and architectural issues.

Can I use external AI models for code analysis consensus?▼

Yes, multi-model consensus in code analysis optionally incorporates external model reviews from Gemini and Codex. This provides a broader consensus when evaluating code quality and security vulnerabilities.

Do I need git to run an AI agent code review on my repository?▼

Yes, git is required for AI agent code review to analyze code changes and perform diffing. You need a git repository with staged changes or historical context available for the agents to analyze.

What is multi-agent code review and how does it identify architectural issues?▼

Multi-agent code review deploys several AI agents to examine code from distinct perspectives like security analysis and bug detection. It identifies architectural issues by analyzing code against historical context and project guidelines.

Does automated bug detection work with existing project guidelines?▼

Automated bug detection works with existing project guidelines by analyzing code against those standards. The review process incorporates your historical context and guidelines to ensure adherence to best practices.