Test web applications end-to-end and iteratively fix bugs with health scores.
npx skills add https://github.com/lyh2/gstack-deepseek --skill qa-lyh2
Please help me install this Agent Skill. Skill: qa Source: https://github.com/lyh2/gstack-deepseek/tree/main/qa Command: npx skills add https://github.com/lyh2/gstack-deepseek --skill qa-lyh2
QA engineers and developers waste time repeatedly finding and fixing bugs in web apps. This skill provides an automated, end-to-end QA loop that tests, confirms fixes, and documents evidence to speed up shipping.
Describe what you're building and run /qa to start the automated test-and-fix loop.
High-intent search queries and answers about installing and using this skill.
Automated end-to-end QA testing runs a continuous test-and-fix loop on your web app, iteratively committing bug fixes while generating health scores and ship-readiness summaries. You describe your application and trigger the process to start.
Quick, Standard, and Exhaustive QA tiers represent increasing levels of testing depth for web applications. Each tier produces before-and-after health scores and ship-readiness summaries across functional, UI, and performance aspects to inform your release decisions.
You can verify UI and performance issues automatically during web app QA. The process evaluates functional, UI, and performance aspects, producing fix evidence and a comprehensive ship-readiness summary to confirm your application is ready for release.
Automated QA testing works without external dependencies, relying on standard development tools like Bash, Read, Write, Edit, Glob, Grep, and WebSearch. It loads internal preamble logic and telemetry to execute the end-to-end test and fix loop.
Document bug fix evidence by running an automated QA loop that commits each change individually. The process generates before-and-after health scores, fix evidence, and a ship-readiness summary across functional, UI, and performance aspects to support release decisions.
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