ƳƤ AI QA Automation Framework — Evidence-First Agentic Quality Engineering — A production-oriented agentic quality engineering control system where Claude can plan, investigate, and adapt while deterministic policy governs authority, controlled tools produce provenance-bound evidence, and subject-bound validation retains terminal authority.
Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.
Testing skills for AI coding agents: evidence-backed strategy, executable cases, Playwright/API testing, regression and QA memory. 面向 AI Agent 的测试工程技能。
Awesome QA Skills is an open-source AI-native Quality Engineering skill system that helps engineering teams reason about, design, execute, evaluate, and continuously improve software quality across the entire SDLC.
AI-powered QA testing framework that uses LLMs (Claude or GPT) to test web apps, CLI tools, and TUI programs from markdown story cards, returning structured pass/fail verdicts with evidence.
