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Web Qa Bot
AI-powered automated QA for web apps. Smoke tests, accessibility, visual regression. Works with Cursor, Claude, ChatGPT, Copilot. Vibe-coding ready.
安全通过
技能说明
name: web-qa-bot description: AI-powered automated QA for web apps. Smoke tests, accessibility, visual regression. Works with Cursor, Claude, ChatGPT, Copilot. Vibe-coding ready. version: 0.1.3 author: NextFrontierBuilds keywords: [automated-qa, ai-testing, smoke-test, accessibility-testing, visual-regression, ci-testing, playwright-alternative, e2e-testing, qa, testing, automation, ai, ai-agent, vibe-coding, cursor, claude, chatgpt, copilot, github-copilot, mcp, llm, devtools, ai-tools, developer-tools, typescript, moltbot, openclaw]
web-qa-bot
AI-powered web application QA automation using accessibility-tree based testing.
Overview
This skill provides tools for automated QA testing of web applications. It uses browser accessibility trees for reliable element detection instead of fragile CSS selectors.
Installation
npm install -g web-qa-bot agent-browser
agent-browser install
Commands
Quick Smoke Test
web-qa-bot smoke https://example.com
Runs basic health checks:
- Page loads successfully
- No console errors
- Navigation elements present
- Images have alt text
Run Test Suite
web-qa-bot run ./tests/suite.yaml --output report.md
Generate PDF Report
web-qa-bot report ./results.json -o report.pdf -f pdf
Use Cases
1. Quick Site Health Check
# Smoke test a production URL
web-qa-bot smoke https://app.example.com --checks pageLoad,consoleErrors,navigation
2. Pre-deployment QA
Create a test suite and run before each deployment:
# tests/critical-paths.yaml
name: Critical Paths
baseUrl: https://staging.example.com
tests:
- name: Login flow
steps:
- goto: /login
- type: { ref: Email, text: test@example.com }
- type: { ref: Password, text: testpass }
- click: Sign In
- expectVisible: Dashboard
- expectNoErrors: true
web-qa-bot run ./tests/critical-paths.yaml --output qa-report.pdf -f pdf
3. Monitor for Regressions
# Run tests and fail CI if issues found
web-qa-bot run ./tests/smoke.yaml || exit 1
4. Programmatic Testing
import { QABot } from 'web-qa-bot'
const qa = new QABot({
baseUrl: 'https://example.com',
headless: true
})
await qa.goto('/')
await qa.click('Get Started')
await qa.snapshot()
qa.expectVisible('Sign Up')
await qa.close()
Integration with agent-browser
This tool wraps agent-browser CLI for browser automation:
# Connect to existing browser session
web-qa-bot smoke https://example.com --cdp 18800
# Run headed for debugging
web-qa-bot run ./tests/suite.yaml --no-headless
Test Results Format
Results are returned as structured JSON:
{
"name": "Smoke Test",
"url": "https://example.com",
"summary": {
"total": 4,
"passed": 3,
"failed": 0,
"warnings": 1
},
"tests": [
{
"name": "Page Load",
"status": "pass",
"duration": 1234
}
]
}
Tips
- Use role-based selectors - More reliable than CSS classes
- Check console errors - Often reveals hidden issues
- Test both navigation methods - Direct URL and in-app routing
- Screenshot on failure - Automatic in test suites
- Monitor for modals - Can block interactions
Report Formats
- Markdown - Default, human-readable
- PDF - Professional reports via ai-pdf-builder
- JSON - Machine-readable for CI/CD
Troubleshooting
"agent-browser not found"
npm install -g agent-browser
agent-browser install
"Element not found"
Take a snapshot first to see available refs:
agent-browser snapshot
"Timeout waiting for element"
Increase timeout or check if element is behind a loading state:
steps:
- waitMs: 2000
- waitFor: "Loading" # Wait for loading to appear
- waitFor: "Content" # Then wait for content
Links
如何使用「Web Qa Bot」?
- 打开小龙虾AI(Web 或 iOS App)
- 点击上方「立即使用」按钮,或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「Web Qa Bot」技能完成任务
- 结果即时呈现,支持继续对话优化