qa-tester

Automate multi-layer software testing and triage failures across technology stacks.

2|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/BrianNguyen291/Super-QA-Tester-Skill --skill qa-tester-briannguyen291
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa-tester
Source: https://github.com/BrianNguyen291/Super-QA-Tester-Skill/tree/main
Command: npx skills add https://github.com/BrianNguyen291/Super-QA-Tester-Skill --skill qa-tester-briannguyen291

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, schemathesis, junit-report, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the "silent failure" problem in software development by replacing raw, unmanaged test outputs with a permanent, triaged, and CI-integrated QA system that distinguishes between real bugs, flaky tests, and stale code.

Core Features & Use Cases

  • Universal QA Workflow: Automatically detects the stack, plans risk-based test layers (Unit, Contract, Fuzz, E2E, Canary), and generates a self-sustaining QA memory in the repository.
  • Intelligent Triage: Classifies every test failure into actionable categories (Real Bug, Flaky, Stale) and generates both technical reports for engineers and plain-language HTML reports for stakeholders.
  • Use Case: When you need to verify if a complex backend API is safe to ship, this Skill runs the full suite, triages the results, and provides a clear "SHIP / DON'T SHIP" verdict with a list of root-caused bugs.

Quick Start

Ask the AI to set up automated QA for this repository and provide a verdict on whether it is safe to ship.

Frequently Asked Questions about qa-tester

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

FAQPage Schema
How do I automate QA testing and triage test failures across different codebases?

Automated QA testing across codebases works by detecting the stack and planning multi-layer tests to classify failures into real bugs, flaky tests, or stale code. This generates a permanent, triaged QA memory and CI-integrated reports to distinguish actual issues from noise.

Does automated regression testing work with OpenAPI and JUnit XML formats?

Automated regression testing supports universal interfaces including OpenAPI, JUnit XML, and standard exit codes to maintain stack-agnostic operation. This ensures the testing workflow functions across backend, frontend, mobile, and library repositories without requiring custom adapters.

Can I use pytest to generate a ship or don't ship verdict for my backend API?

pytest executes the full test suite to generate a clear ship or don't ship verdict for backend APIs. The system triages the results and provides a list of root-caused bugs alongside technical reports for engineers and plain-language HTML reports for stakeholders.

What is the best way to classify flaky tests and stale code in a CI pipeline?

Classifying flaky tests and stale code in a CI pipeline requires intelligent triage that categorizes every failure into actionable groups. This replaces raw unmanaged test outputs with a permanent QA system that enforces regression protection and CI-integrated quality gates.

How do I set up risk-based test layers for contract and fuzz testing?

Risk-based test layers for contract and fuzz testing are set up by automatically detecting the repository stack and planning the test execution. The system applies layers like Unit, Contract, Fuzz, E2E, and Canary to enforce regression protection across diverse technologies.