Verified:GitHub

qa-review

Name: qa-review
Availability: InStock
Author: chtugha

Reviews code changes for test coverage, edge cases, and potential regressions using Python analysis and test generation.

Updated May 7, 2026

Search Tags:#code review #test coverage #test plan #regression detection #QA review

Ready to run

npx skills add https://github.com/chtugha/brassclaw --skill qa-review-chtugha

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: qa-review
Source: https://github.com/chtugha/brassclaw/tree/main/skills/qa-review
Command: npx skills add https://github.com/chtugha/brassclaw --skill qa-review-chtugha

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of ensuring high code quality by performing in-depth QA reviews on code changes.

Core Features & Use Cases

Test Coverage Analysis: Identifies untested code paths and suggests test cases.
Edge Case Identification: Assesses the need for additional edge case testing.
Regression Detection: Monitors the test health over time for signs of regression.
Test Plan Generation: Automates the creation of comprehensive test plans.
Use Case: Ideal for software development teams to review PRs and ensure quality before deployment.

Quick Start

Run a QA review on the code changes in your pull request.

Frequently Asked Questions about qa-review

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

FAQPage Schema

How do I perform a QA review on code changes to ensure thorough test coverage?▼

Run a QA review on your pull request code changes to analyze test coverage and identify untested paths. It utilizes Python scripts to evaluate edge cases and generate a comprehensive test plan, ensuring code health before deployment.

How do I identify edge cases and potential regressions in my pull request?▼

Assess edge cases and regressions in a pull request by executing a QA review that evaluates test coverage and monitors test health over time. This identifies potential regressions and highlights missing edge case tests.

Can I use Python to automate test plan generation for code changes?▼

Yes, you can use Python to automate test plan generation for code changes. The QA review process utilizes Python scripts to analyze coverage and suggest test cases, automating the creation of comprehensive test plans.

Does this QA review work with Python codebases for regression detection?▼

Yes, this QA review works with Python codebases for regression detection. It utilizes Python as a dependency to analyze code health, monitor test coverage, and identify potential regressions over time.

What is the best way to review PRs for untested code paths before deployment?▼

The best way to review PRs for untested code paths is to run a QA review that analyzes code changes and suggests test cases. It identifies untested paths and generates a test plan to ensure quality before deployment.