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webapp-testing

🔒 测试与安全
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提供对本地 Web 应用的端到端测试能力,支持启动服务、自动化交互、截图诊断、控制台日志捕获及动态 DOM 分析,适用于验证前端功能与调试 UI 行为。

简介

提供对本地 Web 应用的端到端测试能力,支持启动服务、自动化交互、截图诊断、控制台日志捕获及动态 DOM 分析,适用于验证前端功能与调试 UI 行为。

核心能力速览
✓所属分类:🔒 测试与安全
✓通过 Agent Skills 协议,将「能力」封装为可复用、可安装的 AI 组件
✓支持按需加载领域知识与工具,让通用模型转变为特定任务的专家
适用场景

适用于「🔒 测试与安全」相关场景,可作为可复用的 AI 能力组件,接入支持 Agent Skills 的 AI 客户端(如 Claude、Cursor、Cline 等),按需调用以扩展模型能力。

Skills.MD
namewebapp-testing
descriptionToolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
licenseComplete terms in LICENSE.txt

Web Application Testing

To test local web applications, write native Python Playwright scripts.

Helper Scripts Available:

  • scripts/with_server.py - Manages server lifecycle (supports multiple servers)

Always run scripts with --help first to see usage. DO NOT read the source until you try running the script first and find that a customized solution is abslutely necessary. These scripts can be very large and thus pollute your context window. They exist to be called directly as black-box scripts rather than ingested into your context window.

Decision Tree: Choosing Your Approach

User task → Is it static HTML?
    ├─ Yes → Read HTML file directly to identify selectors
    │         ├─ Success → Write Playwright script using selectors
    │         └─ Fails/Incomplete → Treat as dynamic (below)
    │
    └─ No (dynamic webapp) → Is the server already running?
        ├─ No → Run: python scripts/with_server.py --help
        │        Then use the helper + write simplified Playwright script
        │
        └─ Yes → Reconnaissance-then-action:
            1. Navigate and wait for networkidle
            2. Take screenshot or inspect DOM
            3. Identify selectors from rendered state
            4. Execute actions with discovered selectors

Example: Using with_server.py

To start a server, run --help first, then use the helper:

Single server:

python scripts/with_server.py --server "npm run dev" --port 5173 -- python your_automation.py

Multiple servers (e.g., backend + frontend):

python scripts/with_server.py \
  --server "cd backend && python server.py" --port 3000 \
  --server "cd frontend && npm run dev" --port 5173 \
  -- python your_automation.py

To create an automation script, include only Playwright logic (servers are managed automatically):

from playwright.sync_api import sync_playwright

with sync_playwright() as p:
    browser = p.chromium.launch(headless=True) # Always launch chromium in headless mode
    page = browser.new_page()
    page.goto('http://localhost:5173') # Server already running and ready
    page.wait_for_load_state('networkidle') # CRITICAL: Wait for JS to execute
    # ... your automation logic
    browser.close()

Reconnaissance-Then-Action Pattern

  1. Inspect rendered DOM:

    page.screenshot(path='/tmp/inspect.png', full_page=True)
    content = page.content()
    page.locator('button').all()
    
  2. Identify selectors from inspection results

  3. Execute actions using discovered selectors

Common Pitfall

❌ Don't inspect the DOM before waiting for networkidle on dynamic apps ✅ Do wait for page.wait_for_load_state('networkidle') before inspection

Best Practices

  • Use bundled scripts as black boxes - To accomplish a task, consider whether one of the scripts available in scripts/ can help. These scripts handle common, complex workflows reliably without cluttering the context window. Use --help to see usage, then invoke directly.
  • Use sync_playwright() for synchronous scripts
  • Always close the browser when done
  • Use descriptive selectors: text=, role=, CSS selectors, or IDs
  • Add appropriate waits: page.wait_for_selector() or page.wait_for_timeout()

Reference Files

  • examples/ - Examples showing common patterns:
    • element_discovery.py - Discovering buttons, links, and inputs on a page
    • static_html_automation.py - Using file:// URLs for local HTML
    • console_logging.py - Capturing console logs during automation
快捷安装

在终端执行以下命令,即可将本 Skill 安装到本地 AI 客户端:

npx skills add anthropics/skills

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