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0xAndoroid
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code-review

Analyze GitHub pull requests for bugs, tech debt, and security.

Updated Aug 23, 2026
Search Tags:#code-quality#static-analysis#code-review#software-engineering#pull-request#parallel-agents#pr-review
One-click install
npx skills add https://github.com/0xAndoroid/dotfiles --skill code-review-0xandoroid
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/0xAndoroid/dotfiles/tree/main/claude/skills/code-review
Command: npx skills add https://github.com/0xAndoroid/dotfiles --skill code-review-0xandoroid

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide a comprehensive code review for a given pull request.

Core Features & Use Cases

  • Multi-agent analysis covering semantic consistency, bug detection, tech debt assessment, and security review.
  • Post line-specific review comments to GitHub PRs with actionable feedback and suggested changes.
  • Structured issue discovery and PAL MCP-assisted validation to surface high-signal concerns.

Quick Start

Initiate a multi-agent PR review on the provided pull request to generate line-targeted feedback and suggested changes.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate pull request reviews for semantic consistency and security?▼

You can automate pull request reviews by orchestrating parallel analysis agents that evaluate semantic consistency, bugs, tech debt, and security. This approach validates discovered issues and posts structured, line-specific review comments directly to your GitHub PR.

What is the best way to perform static analysis on a GitHub pull request?▼

The best way to perform static analysis on a GitHub pull request is using multi-agent orchestration. Four parallel agents assess bug detection, security, and tech debt, followed by MCP-assisted issue validation to surface high-signal concerns with actionable suggested changes.

How do multi-agent code reviews validate issues before posting comments?▼

Multi-agent code reviews validate issues by orchestrating four parallel analysis agents followed by a dedicated validation phase using PAL MCP tooling. This ensures only structured, high-signal concerns are output for posting to the pull request.

Does multi-agent PR review work across different programming languages?▼

Yes, multi-agent PR review works across different programming languages. It applies to GitHub pull requests universally, analyzing semantic consistency, bugs, and security without being limited to a specific language or framework.

Can I post line-specific suggested changes directly to GitHub PRs?▼

Yes, you can post line-specific suggested changes directly to GitHub PRs. The review process outputs structured data containing actionable feedback and targeted comments that map directly to specific lines of code in the pull request.

When should I use parallel agents instead of standard code review tools?▼

You should use parallel agents instead of standard code review tools when you need comprehensive analysis across multiple dimensions simultaneously. This approach separates semantic, bug, tech debt, and security reviews into distinct agents for higher-signal issue discovery.

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