How does the multi-agent swarm work for code reviews?

The skill initializes multiple specialized agents (e.g., Security, Performance, Style) that analyze the PR diff in parallel, providing a multi-dimensional perspective that a single-pass tool might miss.

Does this skill support security vulnerability detection?

Yes, it includes a dedicated Security Review Agent that checks for OWASP vulnerabilities, secret exposure, and insecure cryptographic patterns.

What tools are required to run this Claude Code skill?

This skill requires the GitHub CLI (gh), ruv-swarm, and the claude-flow plugin to manage agent orchestration and repository interaction.

Can I customize the review criteria?

Absolutely. You can define custom rules, thresholds, and agent requirements in a review-swarm.yml configuration file within your repository.

Can I trigger reviews directly from the GitHub UI?

Yes, once integrated with webhooks, you can use slash commands like /swarm review in PR comments to trigger specific agents or check the review status.

GitHub AI Swarm Code Review

Name: GitHub AI Swarm Code Review
Author: ricable

byricable

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Collaboration Tools

Automates comprehensive GitHub pull request reviews using a coordinated swarm of specialized AI agents for security, performance, and architecture analysis.

The GitHub Code Review skill enables developers to deploy a sophisticated multi-agent swarm to perform deep, domain-specific analysis of pull requests. By leveraging the SPARC framework and GitHub CLI integration, it moves beyond static analysis to provide intelligent feedback on complex issues like architectural patterns, security vulnerabilities, and performance bottlenecks. It functions as an automated peer-review layer that enforces quality gates, manages PR labels, and responds to interactive commands directly within GitHub comments, significantly accelerating the development lifecycle while maintaining high code standards.

Key Features

01Multi-agent swarm orchestration for parallel, domain-specific reviews

02Customizable quality gates and automated label-based agent assignment

03Intelligent architectural analysis and design pattern enforcement

04Interactive PR comment commands for on-demand swarm management

053 GitHub stars

06Automated security auditing and vulnerability detection (OWASP, CVE)

Use Cases

01Scaling the code review process by offloading routine style and documentation checks to AI agents

02Automating high-depth security and performance audits for mission-critical pull requests

03Enforcing consistent coding standards and architectural principles across distributed engineering teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent github-code-review

For use in Claude.ai and ChatGPT

Download Skill