Agent Code Review Swarm

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by ruvnet · vlatest · Repository

Ruvnet's agent-code-review-swarm automatically identifies bugs, security flaws, and style issues in code via collaborative AI review.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add agent-code-review-swarm npx -- -y @trustedskills/agent-code-review-swarm
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "agent-code-review-swarm": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/agent-code-review-swarm"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The agent-code-review-swarm skill orchestrates a swarm of AI agents to perform thorough code reviews. It leverages multiple agents, each specializing in different aspects of code quality (e.g., security, style, performance), and aggregates their findings into a consolidated report. This allows for more comprehensive feedback than a single agent could provide.

When to use it

  • Large Codebase Reviews: When dealing with substantial projects where multiple perspectives are valuable.
  • Security Audits: To identify potential vulnerabilities across various code segments.
  • Style Guide Enforcement: Ensure consistent coding standards and best practices throughout a project.
  • Pre-Merge Checks: Automate code review processes before integrating changes into the main codebase.

Key capabilities

  • Multi-agent orchestration for comprehensive reviews
  • Specialized agent roles (security, style, performance)
  • Consolidated reporting of findings from multiple agents

Example prompts

  • "Review this Python script for security vulnerabilities: [script content]"
  • "Perform a code review on this JavaScript file, focusing on adherence to the Airbnb style guide: [file content]"
  • "Can you analyze this Go program and identify potential performance bottlenecks? [program content]"

Tips & gotchas

The quality of the review depends heavily on the underlying agents' capabilities. Ensure the agents used are well-suited for the specific programming language and code domain being reviewed.

Tags

🛡️

TrustedSkills Verification

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Security Audits

Gen Agent Trust HubPass
SocketPass
SnykPass

Details

Version
vlatest
License
Author
ruvnet
Installs
22

🌐 Community

Passed automated security scans.