Can I trigger a review directly from a GitHub comment?

Absolutely. The skill supports webhook handlers that allow you to use slash commands like /swarm review in PR comments to initiate the AI swarm.

How does the multi-agent review system work?

It spawns specialized AI agents that analyze different aspects of your code, such as security, performance, or architecture, simultaneously to provide a comprehensive review faster than a single-agent pass.

Can I block a PR if the AI finds critical issues?

Yes, you can configure quality gates to automatically request changes or add specific labels to block merges if critical security or architectural issues are detected.

Does it support custom architectural rules?

Yes, you can define custom review triggers and configurations in a YAML file to enforce project-specific patterns, coupling limits, and cohesion scores.

Do I need the GitHub CLI installed to use this skill?

Yes, this skill requires the GitHub CLI (gh) to interact with your repository, fetch pull request data, and post comments or reviews.

GitHub Swarm Code Review

Name: GitHub Swarm Code Review
Author: ellisapotheosis

byellisapotheosis

Collaboration Tools

Automates comprehensive GitHub pull request reviews using specialized AI swarms to analyze security, performance, and architectural integrity.

About

The GitHub Code Review Skill leverages the power of swarm intelligence to provide deep, multi-dimensional analysis of code changes directly within your development workflow. By deploying a coordinated group of specialized agents—focused on security, performance, architecture, and style—it goes beyond basic linting to identify complex logic flaws and structural issues. This skill integrates seamlessly with the GitHub CLI and CI/CD pipelines to enforce quality gates, suggest automated fixes, and manage PR communications, ensuring every pull request meets production-grade standards before it ever reaches a human reviewer.

Key Features

0 GitHub stars
Automated performance benchmarking and algorithmic complexity evaluation
Multi-agent swarm orchestration for parallel, domain-specific code analysis
Customizable quality gates that enforce standards through the GitHub CLI
Deep security scanning for OWASP vulnerabilities, secrets, and permission flaws
Interactive PR comment commands to trigger reviews and spawn agents dynamically

Use Cases

Automating multi-layer security audits for sensitive pull requests
Enforcing architectural patterns and SOLID principles across distributed teams
Identifying performance regressions and optimization opportunities in complex diffs

About

Key Features

0 GitHub stars
Automated performance benchmarking and algorithmic complexity evaluation
Multi-agent swarm orchestration for parallel, domain-specific code analysis
Customizable quality gates that enforce standards through the GitHub CLI
Deep security scanning for OWASP vulnerabilities, secrets, and permission flaws
Interactive PR comment commands to trigger reviews and spawn agents dynamically

Use Cases

Automating multi-layer security audits for sensitive pull requests
Enforcing architectural patterns and SOLID principles across distributed teams
Identifying performance regressions and optimization opportunities in complex diffs