awt-e2e-testing
AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
- License 许可
- Apache-2.0
- 最近更新
- 2026-06-23
- Stars
- ★ 6
- Forks
- 0
01 前言 Front Matter
- name
- awt-e2e-testing
- risk
- unknown
- source
- https://github.com/ksgisang/awt-skill
- description
- AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
02 资源文件 10
- 参考文档checklists/backend.md4.0 KB
- 参考文档checklists/database.md1.7 KB
- 参考文档checklists/dependency.md1.2 KB
- 参考文档checklists/docs.md779 B
- 参考文档checklists/frontend.md1.8 KB
- 参考文档checklists/infra.md1.4 KB
- 参考文档checklists/producing-the-review.md2.8 KB
- 参考文档checklists/test-only.md975 B
- 参考文档evals/evals.json6.3 KB
- 参考文档evals/triggers.json2.0 KB
03 SKILL.md 正文
AWT — AI-Powered E2E Testing (Beta)
npx skills add ksgisang/awt-skill --skill awt -g
AWT gives AI coding tools the ability to see and interact with web applications through a real browser. Your AI designs YAML test scenarios; AWT executes them with Playwright.
When to Use
- You need AI-assisted end-to-end testing through a real browser with declarative YAML scenarios.
- The test flow depends on visual matching, OCR, or platform auto-detection instead of stable DOM selectors.
- You want an E2E toolchain that can both execute tests and explain failures for AI coding workflows.
What works now
- YAML scenarios → Playwright with human-like interaction
- Visual matching: OpenCV template + OCR (no CSS selectors needed)
- Platform auto-detection: Flutter, React, Next.js, Vue, Angular, Svelte
- Structured failure diagnosis with investigation checklists
- Learning DB: failure→fix patterns in SQLite
- 5 AI providers: Claude, OpenAI, Gemini, DeepSeek, Ollama
- Skill Mode: no extra AI API key needed
Links
- Main repo: https://github.com/ksgisang/AI-Watch-Tester
- Skill repo: https://github.com/ksgisang/awt-skill
- Cloud demo: https://ai-watch-tester.vercel.app
Built with the help of AI coding tools — and designed to help AI coding tools test better.
Actively developed by a solo developer at AILoopLab. Feedback welcome!
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