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Ethansuttor
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agent-code-review-swarm

A short description of your project.

Updated Apr 1, 2026
Search Tags:#architecture#performance#security#github#ai-agent#code-review
One-click install
npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill agent-code-review-swarm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-code-review-swarm
Source: https://github.com/Ethansuttor/QUANTIFIED/tree/main/.gemini/skills/ruflo/.agents/skills/agent-code-review-swarm
Command: npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill agent-code-review-swarm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the coordination and execution of AI-driven code reviews across multiple agents and repositories, reducing manual effort and improving coverage for security, performance, style, and architecture concerns.

Core Features & Use Cases

  • Multi-agent review orchestration across PRs and repositories.
  • Security, performance, style, and architecture analysis with automated reporting.
  • Pre/post hooks, configurable thresholds, and GitHub integration for seamless collaboration.

Quick Start

Invite the swarm to initiate a multi-agent code review on a target pull request.

Frequently Asked Questions about agent-code-review-swarm

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

FAQPage Schema
How do I automate AI code reviews across multiple GitHub pull requests?▼

Automated AI code reviews coordinate multiple agents to analyze pull requests across repositories, targeting security, performance, style, and architecture concerns simultaneously. This orchestration reduces manual effort by executing automated reporting directly through GitHub integration.

Can I configure thresholds for automated security and performance checks?▼

Configurable thresholds allow you to set specific parameters for security, performance, style, and architecture analyses. The multi-agent orchestration applies these thresholds during code review to ensure automated reporting meets your repository standards.

Does the multi-agent code review support pre and post hooks?▼

Pre and post hooks are supported to execute custom logic before or after the multi-agent review process. This allows developers to trigger specific actions or validations alongside automated security, performance, and architectural checks on pull requests.

What is the best way to run architectural checks on GitHub pull requests?▼

Running architectural checks via multi-agent code review orchestration enables simultaneous analysis of security, performance, and style. Using AI agents with GitHub CLI integration ensures comprehensive architectural validation across targeted pull requests.

Do I need ruv-swarm to orchestrate AI agents for code review?▼

Ruv-swarm is required to orchestrate the AI agents that execute automated code reviews across GitHub pull requests. It coordinates the multi-agent architecture analysis, security checks, and performance evaluations alongside GitHub CLI integration.

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