Skills Plugins MCP Prompt Model 博客 我的中心
Development #browser #testing #web

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 Curated skill Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=anthropics-skills-skills-webapp-testing-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
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
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。