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Aktoh-Cyber
Aktoh-CyberOFFICIAL
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github-code-review

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

Updated Jan 7, 2026
Search Tags:#automation#ai#swarm#pr#code-review#quality-gates#github-code-review
One-click install
npx skills add https://github.com/Aktoh-Cyber/agent-control-plane --skill github-code-review-aktoh-cyber
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/Aktoh-Cyber/agent-control-plane/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/Aktoh-Cyber/agent-control-plane --skill github-code-review-aktoh-cyber

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GitHub PR reviews are time-consuming and error-prone; this skill orchestrates AI-powered, multi-agent reviews to cover diverse concerns like security, performance, style, and architecture.

Core Features & Use Cases

  • Multi-Agent Review System: Deploy specialized AI agents to review code changes across domains.
  • PR-Based Swarm Management: Coordinate agents per PR, parallelizing tasks for faster feedback.
  • Automated Workflows: Integrate with GitHub actions and CLI tools to automate review steps and reporting.
  • Quality Gates & Checks: Enforce consistency with configurable thresholds and actionable feedback.
  • Use Case: Scale code review for large PRs by distributing checks across agents to reduce review cycles.

Quick Start

Initialize a swarm review for a GitHub PR to coordinate security, performance, style, and architecture feedback.

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 PR reviews for large codebases?▼

To automate GitHub PR reviews, you initialize a multi-agent swarm that parallelizes checks across security, performance, style, and architecture, aggregating findings to post actionable feedback and enforce quality gates.

What is multi-agent AI code review and how does it work?▼

Multi-agent AI code review deploys specialized agents to evaluate pull requests across specific domains like security and performance, coordinating per PR to parallelize tasks, aggregate findings, and deliver actionable feedback.

Can I use AI agents to enforce quality gates in GitHub pull requests?▼

Yes, you can use AI agents to enforce quality gates in GitHub pull requests by configuring workflows and governance checks with configurable thresholds that ensure consistency and safe automation.

Does automated code review work for pull requests of varying sizes and programming languages?▼

Automated code review works for pull requests of varying sizes and programming languages by orchestrating multiple agents that adapt to the changes, ensuring comprehensive coverage across different codebases.

How do I integrate AI code review automation with GitHub actions and CLI tools?▼

You integrate AI code review automation with GitHub actions and CLI tools by configuring automated workflows that execute review steps and reporting, coordinating the swarm to post feedback directly to pull requests.

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