webapp-testing
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- Author updated Jun 9, 2026, 08:35 PM
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Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: webapp-testing
description: Toolkit for interacting with and testing local web applications using Playwright. Supports verif…
category: other
runtime: Python
---
# webapp-testing output preview
## PART A: Task fit
- Use case: 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..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Decision Tree: Choosing Your Approach / Example: Using withserver.py / Reconnaissance-Then-Action Pattern” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “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.”.
- **02** When the source has headings, the agent prioritizes “Decision Tree: Choosing Your Approach / Example: Using withserver.py / Reconnaissance-Then-Action Pattern” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “Decision Tree: Choosing Your Approach / Example: Using withserver.py / Reconnaissance-Then-Action Pattern”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: webapp-testing
description: Toolkit for interacting with and testing local web applications using Playwright. Supports verif…
category: other
source: anthropics/skills
---
# webapp-testing
## When to use
- Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend function…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Decision Tree: Choosing Your Approach / Example: Using withserver.py / Reconnaissance-Then-Action Pattern” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "webapp-testing" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Decision Tree: Choosing Your Approach / Example: Using withserver.py / Reconnaissance-Then-Action Pattern
rules -> SKILL.md triggers / order / output contract
runtime -> Python | read files, write/modify files, run shell commands | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} 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--helpto 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()orpage.wait_for_timeout()
Reference Files
- examples/ - Examples showing common patterns:
element_discovery.py- Discovering buttons, links, and inputs on a pagestatic_html_automation.py- Using file:// URLs for local HTMLconsole_logging.py- Capturing console logs during automation
Decide Fit First
Design Intent
How To Use It
Boundaries And Review