qa

Automate systematic web application QA testing and compute a 0-100 health score.

8|Updated Mar 17, 2026

Search Tags:#automation #testing #qa #regression #bug-fix #web-app #health-score

Ready to run

npx skills add https://github.com/ShaheerKhawaja/ProductionOS --skill qa-shaheerkhawaja

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: qa
Source: https://github.com/ShaheerKhawaja/ProductionOS/tree/main/skills/qa
Command: npx skills add https://github.com/ShaheerKhawaja/ProductionOS --skill qa-shaheerkhawaja

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

QA testing is labor-intensive and error-prone when done manually; this skill automates systematic web app testing and provides a health score to guide improvements.

Core Features & Use Cases

Automated discovery and smoke testing: verify key pages load and forms function.
Deep QA and regression-ready checks: run parallel agents for accessibility, UX, performance, and correctness.
Health scoring and iterative fixes: compute a 0-100 health score and drive fix loops until targets are reached.

Quick Start

Run the QA skill against your web app URL to start automated testing and health scoring.

Frequently Asked Questions about qa

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

FAQPage Schema

How do I automate regression testing and smoke testing for a web app?▼

Automated regression testing and smoke testing for a web app are executed by running parallel agents that verify key pages load, forms function, and UX correctness. This systematic QA process identifies bugs across discovery and deep testing phases.

What is a web app health score and how does it guide bug fixes?▼

A web app health score is a 0-100 metric computed during QA testing to measure application stability. It drives iterative fix loops, guiding targeted bug fixes until the web app meets configurable health targets.

Can I run parallel agents for accessibility and performance checks during deep QA?▼

Yes, parallel agents can run for accessibility, UX, performance, and correctness checks during deep QA. This parallelized agent orchestration ensures comprehensive web app testing and efficient regression-ready validation.

Does automated QA testing support configurable targets for end-to-end validation?▼

Automated QA testing supports configurable targets for end-to-end health score validation. It orchestrates parallel agents to systematically test web apps, running iterative fix loops until specific health and validation targets are reached.

What is the best way to reduce manual QA labor for web applications?▼

The best way to reduce manual QA labor is automating systematic web app testing with parallelized agent orchestration. This approach handles discovery, smoke testing, and deep QA while computing a 0-100 health score to guide improvements.