code-review

Review code for correctness, readability, architecture, security, and performance.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/moonshineTP/ATTT-20252 --skill code-review-moonshinetp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/moonshineTP/ATTT-20252/tree/main/.claude/skills/code-review
Command: npx skills add https://github.com/moonshineTP/ATTT-20252 --skill code-review-moonshinetp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, numpy, scikit-learn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit provides a robust code review process that ensures code quality and security across multiple dimensions before merging changes into the main branch.

Core Features & Use Cases

  • Multi-axis Review: Evaluates code for correctness, readability, architecture, security, and performance.
  • Automated Checks: Utilizes scripts to automate certain aspects of the review process.
  • Customizable Feedback: Offers detailed feedback on various aspects of the code, with clear severity labeling.
  • Use Case: Before merging any code changes, use this Skill to conduct a thorough review and address any identified issues.

Quick Start

Run the code-review skill to initiate a code review for the latest change in the current branch.

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 comprehensive code review for security and performance before merging?

A comprehensive code review evaluates correctness, readability, architecture, security, and performance. It utilizes automated scripts to perform checks and provides detailed feedback with severity labeling before changes are merged into the main branch.

Does this automated code review process require Python and specific libraries?

Yes, this automated code review requires Python along with pandas, numpy, and scikit-learn. These dependencies are necessary to run the scripts that execute the automated code analysis checks.

What is multi-axis code review and what dimensions does it evaluate?

Multi-axis code review is a process that evaluates code across multiple dimensions simultaneously. It assesses software quality by checking correctness, readability, architecture, security vulnerabilities, and performance optimization.

How do I get detailed feedback with severity labeling for my code changes?

Run the code review skill on the latest change in your current branch to get detailed feedback with severity labeling. It evaluates the code and highlights identified issues across correctness, security, and performance axes.

When should I use an automated code review script instead of manual checks?

Use an automated code review script before merging any code changes into the main branch. It automates checks for security and performance issues, ensuring robust code quality across multiple dimensions prior to integration.