code-review

Analyze GitHub Pull Requests for security, performance, architecture, and maintainability issues.

2|1|Updated Dec 26, 2025

Search Tags:#architecture #code review #performance #pull request #security #github

Ready to run

npx skills add https://github.com/1ambda/dataops-platform --skill code-review-1ambda

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/1ambda/dataops-platform/tree/main/.copilot/skills/code-review
Command: npx skills add https://github.com/1ambda/dataops-platform --skill code-review-1ambda

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of reviewing code for security vulnerabilities, performance issues, architectural soundness, and maintainability, providing actionable feedback and suggestions for improvement.

Core Features & Use Cases

Comprehensive Code Analysis: Analyzes code for security, performance, architecture, and maintainability.
Actionable Fix Suggestions: Provides specific recommendations to resolve identified issues.
GitHub Integration: Facilitates direct application of feedback within GitHub Pull Requests.
Use Case: When a Pull Request is submitted, this Skill can automatically perform a thorough review, identify potential bugs or security flaws, and suggest specific code changes to address them before merging.

Quick Start

Use the code-review skill to analyze pull request number 123.

Frequently Asked Questions about code-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 code review for GitHub pull requests is performed by analyzing code changes for security, performance, architecture, and maintainability, then providing actionable fix suggestions. It integrates with GitHub CLI to facilitate direct application of feedback within the pull request.

What does automated code analysis check for in a pull request?▼

Automated code analysis checks pull requests for security vulnerabilities, performance bottlenecks, architectural soundness, and maintainability issues. It identifies potential problems within the GitHub code changes and provides specific recommendations to resolve them before merging.

Can I use GitHub CLI to apply code review suggestions automatically?▼

Yes, you can use GitHub CLI to apply code review suggestions automatically. The review process integrates with GitHub CLI to facilitate direct application of actionable feedback and specific code changes within your GitHub Pull Requests.

How does symbol management help with reviewing code changes?▼

Symbol management tools provide necessary code context during review by mapping definitions and references. This contextual awareness helps the automated analysis accurately understand architectural soundness and identify maintainability issues within the submitted pull request changes.

Do I need to install extra dependencies to check pull request security?▼

No extra dependencies are required to check pull request security. The review process operates independently using built-in scripts and references to analyze code changes and identify potential security vulnerabilities without needing external packages.