Browser QA — 自动化视觉测试与交互验证
SkillWeb & browsingAutomated visual testing and UI interaction verification. After deploying features, use browser automation to verify key pages, core paths, and pre-release regressions. Use when a task requires a real browser to verify rendering, navigation, interactions, or front-end launch risks.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Browser QA — 自动化视觉测试与交互验证 skill
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/Colin4k1024/tsp/skills/browser-qa/SKILL.md and read by ahel’s review.
When to Use / 用途
- After deploying a feature to staging/preview
- When you need to verify UI behavior across pages
- Before shipping — confirm layouts, forms, interactions actually work
- When reviewing PRs that touch frontend code
- Accessibility audits and responsive testing
- 把"前端已经改完"变成"关键页面和核心路径在浏览器里确实可用"
- 适合页面、交互、静态资源发布、关键用户路径和上线前回归确认场景
Trigger Signals / 触发信号
- 需求包含页面、组件、路由、表单、导航、权限跳转或静态资源变更
/team-release需要关键页面 smoke 范围和发布后验证证据- 代码层测试通过了,但仍需确认真实浏览器中的渲染、交互、缓存或网络行为
- QA 或实现角色需要快速确认"关键路径能跑通"而不是一次性补完整 E2E 套件
How It Works
Uses the browser automation MCP (claude-in-chrome, Playwright, or Puppeteer) to interact with live pages like a real user.
Default Approach / 默认做法
- 先锁定 smoke 范围:目标环境、入口 URL、关键页面、核心用户路径、预期可见结果和不在本轮覆盖的内容
- 明确运行方式:优先复用当前环境可用的真实浏览器能力,例如 Playwright CLI、agent-browser 或项目已有 E2E harness;不要为了 ad-hoc smoke 临时搭一整套新测试框架
- 对动态页面,先等页面完成首屏渲染、关键请求返回或交互状态稳定,再判断是否通过;不要在骨架屏、占位态或旧缓存状态下过早下结论
- 优先验证高风险路径:页面可打开、核心导航可达、主操作可完成、关键异常态可触发、静态资源无明显 404/缓存错配
- 用截图、控制台错误、失败步骤和环境说明留下证据,并把结论回交
/team-review、/team-release或角色 handoff
Phase 1: Smoke Test
1. Navigate to target URL
2. Check for console errors (filter noise: analytics, third-party)
3. Verify no 4xx/5xx in network requests
4. Screenshot above-the-fold on desktop + mobile viewport
5. Check Core Web Vitals: LCP < 2.5s, CLS < 0.1, INP < 200ms
Phase 2: Interaction Test
1. Click every nav link — verify no dead links
2. Submit forms with valid data — verify success state
3. Submit forms with invalid data — verify error state
4. Test auth flow: login → protected page → logout
5. Test critical user journeys (checkout, onboarding, search)
Phase 3: Visual Regression
1. Screenshot key pages at 3 breakpoints (375px, 768px, 1440px)
2. Compare against baseline screenshots (if stored)
3. Flag layout shifts > 5px, missing elements, overflow
4. Check dark mode if applicable
Phase 4: Accessibility
1. Run axe-core or equivalent on each page
2. Flag WCAG AA violations (contrast, labels, focus order)
3. Verify keyboard navigation works end-to-end
4. Check screen reader landmarks
Output Format
## QA Report — [URL] — [timestamp]
### Smoke Test
- Console errors: 0 critical, 2 warnings (analytics noise)
- Network: all 200/304, no failures
- Core Web Vitals: LCP 1.2s ✓, CLS 0.02 ✓, INP 89ms ✓
### Interactions
- [✓] Nav links: 12/12 working
- [✗] Contact form: missing error state for invalid email
- [✓] Auth flow: login/logout working
### Visual
- [✗] Hero section overflows on 375px viewport
- [✓] Dark mode: all pages consistent
### Accessibility
- 2 AA violations: missing alt text on hero image, low contrast on footer links
### Verdict: SHIP WITH FIXES (2 issues, 0 blockers)
Integration
Works with any browser MCP:
mChild__claude-in-chrome__*tools (preferred — uses your actual Chrome)- Playwright via
mcp__browserbase__* - Direct Puppeteer scripts
Pair with /canary-watch for post-deploy monitoring.
TSP Integration / TSP 集成
- 先遵循 frontend-quality-gates 中的 smoke 范围、回滚触发条件和前端证据要求
- 需要补齐页面范围、产品类型和 UI 约束时,先看 frontend-governance
- 若 smoke 目的是发布验证或回滚判断,直接连同
/team-release、release-plan.md 和相关发布治理 runbook 一起使用 - 需要系统化留痕、失败归因或多轮确认时,分别接 systematic-debugging 和
/verify - 如果被环境、登录、测试数据或后端依赖阻塞,明确记录 blocker 和前置条件,不把"环境没起来"误写成产品缺陷
Signals
- GitHub stars
- 985
- Forks
- 276
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
browser-qa-hashgraph-online- Source
- github.com/hashgraph-online/awesome-codex-plugins