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webapp-testing

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=anthropics-skills-skills-webapp-testing-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name webapp-testing description Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. license Complete 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 Inspect rendered DOM : page.screenshot(path= '/tmp/inspect.png' , full_page= True ) content = page.content() page.locator( 'button' ). all () Identify selectors from inspection results 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
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
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.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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