review-impl

Analyze git diffs and generate standardized code quality reports.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/4armsxlr8/ccx-arsenal --skill review-impl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-impl
Source: https://github.com/4armsxlr8/ccx-arsenal/tree/main/plugins/agent-core/skills/review-impl
Command: npx skills add https://github.com/4armsxlr8/ccx-arsenal --skill review-impl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of reviewing code quality through git diff analysis, reducing manual effort and providing standardized feedback on implementation.

Core Features & Use Cases

  • Automated Review: Analyzes implementation changes using git diff and provides quality checks.
  • OK/NEEDS_FIX Assessment: Determines if the code meets quality standards and identifies potential issues.
  • Use Case: Perfect for developers and code reviewers who want to streamline the code review process and ensure quality standards are met across team contributions.

Quick Start

Run 'review-impl <commit_hash>' to review the code changes for the given commit.

Frequently Asked Questions about review-impl

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

FAQPage Schema
How do I automate code review for git commits?

You can automate code review by running the review-impl script with a specific commit hash to analyze git diffs and generate a standardized quality report. This reduces manual effort by automatically assessing implementation changes.

How does automated implementation review work using git diffs?

Automated implementation review works by analyzing the code changes within a git diff to evaluate quality standards. It processes the differences in the repository to provide an OK or NEEDS_FIX assessment for developers.

Do I need Python and git to run automated code quality checks?

Yes, you need both git and Python installed to execute the automated code quality checks. The Skill relies on Python scripts to process the git repository diffs and generate the implementation review report.

What is the best way to review code quality for a specific commit?

The best way to review code quality for a specific commit is to run a script that analyzes the git diff for that hash. This provides a standardized OK or NEEDS_FIX assessment, identifying potential implementation issues efficiently.

Can I use this implementation review for team contributions in a repository?

Yes, you can use this implementation review for team contributions to ensure quality standards are met across the repository. It standardizes feedback by analyzing git diffs, making it ideal for developers and code reviewers.

What limitations exist when automating code review with Python scripts?

The primary limitation is that the code review automation depends entirely on analyzing git diffs, meaning it only evaluates changes within commits. It requires a valid git repository and Python environment to execute successfully.