SkillOPIC

应用简介

AI驱动端到端Web测试——AI编码工具的眼睛和双手。声明式YAML场景,Playwright执行,视觉匹配(OpenCV + OCR),平台自动检测(Flutter/React/Vue),学习数据库。安装:npx skills add ksgisang/awt-skill --skill awt -g

---
name: awt-e2e-testing
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"
risk: unknown
source: "https://github.com/ksgisang/awt-skill"
---

# 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!

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
发布日期

5/16/2026

提供方

SkillOPIC

来源类型

导入

sickn33
coding

数据安全

使用 Skill 时,您的对话内容将被发送至 AI 模型进行处理。我们会严格保护您的隐私数据,不会将您的对话内容用于模型训练或分享给第三方。 以下为此 Skill 的数据处理说明。

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