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FrekiManagarm
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github-code-review

Coordinate multi-agent GitHub pull request reviews across security, performance, style, and architecture.

Updated Feb 24, 2026
Search Tags:#automation#code review#pull request#github#security analysis#quality gates#swarm coordination
One-click install
npx skills add https://github.com/FrekiManagarm/dunlo --skill github-code-review-frekimanagarm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/FrekiManagarm/dunlo/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/FrekiManagarm/dunlo --skill github-code-review-frekimanagarm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires github-cli, ruv-swarm, claude-flow.

What problem does it solve?

This Skill helps teams reduce review cycles and improve code quality by coordinating AI agents to analyze pull requests for security, performance, style, architecture, and accessibility concerns.

Core Features & Use Cases

  • Multi-agent PR reviews: Runs specialized review agents across key quality dimensions to produce comprehensive feedback and consistent standards.
  • PR management automation: Initializes swarm reviews from PR context, posts review progress/results, and supports quality-gate enforcement for merge readiness.
  • Targeted checks with guardrails: Performs security-focused validation (e.g., secrets, permissions, injection risks) and applies threshold-based actions such as requesting changes for critical issues.

Use case: When a contributor opens a PR that touches authentication or database logic, use the swarm review to surface high-risk security issues, performance regressions, and architectural violations early—then block or warn based on severity thresholds.

Quick Start

Run a comprehensive multi-agent review for pull request 123 with security, performance, style, architecture, and accessibility agents using your GitHub CLI context.

Frequently Asked Questions about github-code-review

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

FAQPage Schema
How do I automate GitHub pull request code reviews with AI agents?▼

To automate GitHub pull request code reviews, this Skill coordinates specialized AI agents to analyze PR diffs for security, performance, style, architecture, and accessibility, then posts automated comments and optional quality gate updates directly to your repository.

Can I enforce quality gates and block merges for critical security issues in pull requests?▼

Yes, you can enforce pull request quality gates by configuring severity thresholds that automatically request changes or block merges when critical security issues, such as injection risks or hardcoded secrets, are detected during the AI review process.

What is multi-agent swarm orchestration for PR code review?▼

Multi-agent swarm orchestration for PR code review is a process where multiple specialized AI agents run concurrently across key quality dimensions like security and performance to produce comprehensive, consistent automated feedback from a single pull request diff.

Do I need GitHub CLI and ruv-swarm to run automated PR reviews?▼

Yes, you need GitHub CLI plus ruv-swarm and claude-flow tools installed, as these dependencies are required to fetch PR context, run the coordinated agent checks, and manage the automated review posting and status updates.

What's the best way to review authentication and database logic changes in a pull request?▼

The best way to review high-risk authentication and database logic changes is using coordinated AI agents that perform targeted security-focused validation to surface injection risks, performance regressions, and architectural violations early in the PR workflow.

When should I not use automated multi-agent code reviews?▼

You should avoid automated multi-agent code reviews when your repository lacks the required GitHub CLI, ruv-swarm, and claude-flow dependencies, or when your PR workflow cannot accommodate automated status updates and bot-generated comments.

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