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code-review

Analyze Python codebases for quality, security, and architectural integrity.

566|137|Updated Apr 13, 2026
Search Tags:#architecture#static analysis#code review#best practices#security#python
One-click install
npx skills add https://github.com/redai-infra/Relax --skill code-review-redai-infra
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/redai-infra/Relax/tree/main/skills/code-review
Command: npx skills add https://github.com/redai-infra/Relax --skill code-review-redai-infra

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of assessing code quality and architectural soundness by providing structured reviews focused on best practices and potential issues.

Core Features & Use Cases

  • Code Quality Assessment: Analyze for style, maintainability, and error-prone patterns.
  • Architecture Evaluation: Detect SOLID violations and architectural smells.
  • Security Checks: Identify common vulnerability patterns and unsafe practices.
  • Use Case: A developer submits a pull request in a large codebase; this Skill evaluates the changes for potential bugs, security issues, and design improvements to ensure code robustness.

Quick Start

Input your code diffs or file paths to receive a detailed review highlighting areas for improvement.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I perform a code review on a Python pull request for security and architecture issues?▼

Code review on a Python pull request evaluates source code for security vulnerabilities, architectural smells, and SOLID violations. You input code diffs or file paths to receive a detailed review highlighting potential bugs, unsafe practices, and design improvements.

What is static analysis for code quality and how does it detect maintainability issues?▼

Static analysis for code quality assesses source code without executing it to detect error-prone patterns, style deviations, and maintainability risks. It analyzes Python codebases against best practices to identify architectural smells and ensure scalable system performance.

Can I use automated code review to check SOLID principles in a large Python codebase?▼

Automated code review can check SOLID principles in a large Python codebase by evaluating architectural integrity and detecting violations. It supports engineering teams in maintaining high standards by assessing code changes for design improvements and structural soundness.

What's the best way to identify common vulnerability patterns in Python source code?▼

The best way to identify common vulnerability patterns in Python source code is through structured security checks that analyze codebases for unsafe practices. This process highlights potential risks and ensures code robustness against known security issues.

Does this code review approach work with code diffs from any Python project?▼

This code review approach works with code diffs from Python projects by analyzing the submitted changes for quality, security, and architectural integrity. It requires no external dependencies and provides structured feedback on potential bugs and design improvements.

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