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winsorllc
winsorllcCOMMUNITY
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code-review-assistant

Automate code review for GitHub pull requests, diffs, and files.

1|Updated Feb 25, 2026
Search Tags:#code review#best practices#security#github#ai assistant#bugs
One-click install
npx skills add https://github.com/winsorllc/upgraded-carnival --skill code-review-assistant-winsorllc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review-assistant
Source: https://github.com/winsorllc/upgraded-carnival/tree/main/.pi/skills/code-review-assistant
Command: npx skills add https://github.com/winsorllc/upgraded-carnival --skill code-review-assistant-winsorllc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of reviewing code for potential bugs, security vulnerabilities, and adherence to best practices, saving developers significant time and improving code quality.

Core Features & Use Cases

  • Automated Code Analysis: Analyzes GitHub pull requests, code diffs, and individual files.
  • Issue Detection: Identifies security risks, bugs, performance bottlenecks, and style violations.
  • Use Case: When a developer shares a GitHub Pull Request URL, this Skill can provide an immediate, detailed code review, highlighting critical issues before merging.

Quick Start

Use the code-review-assistant skill to review the GitHub pull request at https://github.com/owner/repo/pull/123.

Frequently Asked Questions about code-review-assistant

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

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

To automate code review for GitHub pull requests, you can share the pull request URL with this assistant to receive an immediate analysis highlighting security vulnerabilities, bugs, and performance issues before merging.

What is AI-powered code analysis and how does it detect bugs?▼

AI-powered code analysis uses large language models to scan code diffs and files, detecting security risks, performance bottlenecks, and best practice violations by understanding code logic and patterns without manual inspection.

Can I use different LLM providers for code analysis?▼

Yes, you can use different LLM providers for code analysis. This assistant supports multiple models including Anthropic, OpenAI, and Google to process your code diffs and identify potential issues.

Does automated code review work on individual files or only full pull requests?▼

Automated code review works on both individual files and full GitHub pull requests. The assistant analyzes code diffs and standalone files to identify security vulnerabilities, bugs, and best practice violations.

What types of code issues can an AI assistant identify?▼

An AI assistant can identify security vulnerabilities, bugs, performance bottlenecks, and best practice violations. It analyzes your code to provide detailed feedback on critical issues before merging.

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