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cypilot-pr-review

Reviews GitHub pull requests using LLM-powered analysis and configurable checklists.

Updated Aug 23, 2026
Search Tags:#automation#code review#pull request#github#ai#llm
One-click install
npx skills add https://github.com/cyberfabric/cyberfabric-core --skill cypilot-pr-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cypilot-pr-review
Source: https://github.com/cyberfabric/cyberfabric-core/tree/main/.claude/skills/cypilot-pr-review
Command: npx skills add https://github.com/cyberfabric/cyberfabric-core --skill cypilot-pr-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the review of GitHub Pull Requests by leveraging LLM-powered analysis, ensuring code quality and adherence to standards.

Core Features & Use Cases

  • LLM-driven analysis: Analyzes code changes for potential issues, style violations, and logical errors.
  • Configurable prompts: Allows customization of review criteria and focus areas.
  • Checklist adherence: Verifies compliance with predefined review checklists.
  • Use Case: Automatically review a new feature branch's pull request, identifying potential bugs and suggesting improvements before human review.

Quick Start

Initiate a PR review for the current branch using the default configuration.

Frequently Asked Questions about cypilot-pr-review

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

FAQPage Schema
How do I automate code review for GitHub pull requests?▼

Automated pull request review uses LLM-powered analysis to evaluate code changes on GitHub for potential issues and style violations. This Skill integrates directly into your CI/CD pipeline to analyze PRs against configurable prompts and predefined checklists.

How does LLM analysis work for identifying logical errors in a PR?▼

LLM analysis for pull requests evaluates code diffs to detect logical errors, style violations, and potential bugs by applying configurable review prompts. The LLM processes the code changes to verify compliance with project standards before human review.

Can I customize the AI code review criteria and checklists?▼

Yes, AI code review criteria can be customized using configurable prompts and predefined checklists. This allows you to define specific focus areas and verify that pull request changes adhere to your project's unique standards.

Do I need a GitHub API token to run automated PR reviews?▼

Yes, automated PR review requires integration with the GitHub API and LLM services. These integrations provide the necessary access to pull request data and the AI processing capabilities required for comprehensive code analysis.

What is the best way to integrate AI code review into a CI/CD pipeline?▼

The best way to integrate AI code review into a CI/CD pipeline is by triggering an automated LLM analysis on new pull requests. This ensures code quality assurance and adherence to project standards are verified automatically before merging.

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