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chrome-browser-automationChrome 浏览器自动化

Agent Skill

chrome-browser-automation 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

360

周安装

15

GitHub Stars

1

下载量

120
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:chrome-browser-automation(Chrome 浏览器自动化)
来源仓库:https://github.com/dawiddutoit/custom-claude
仓库路径:skills/chrome-browser-automation
安装命令:
npx skills add https://github.com/dawiddutoit/custom-claude --skill chrome-browser-automation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/dawiddutoit/custom-claude --skill chrome-browser-automation

简介

通过 MCP 协议连接浏览器标签页,实现表单填写与行为模拟。

  • 支持控制台错误检测、动态内容加载与用户流验证。
  • 优先使用已有标签页,保持 Cookie 与登录状态一致。
  • 需配置 playwright-mcp 服务器,避免重复启动浏览器。
  • chrome-browser-automation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Chrome Browser Automation

Quick Start

Test a local web application with console monitoring:

User: "Open localhost:3000 and check for console errors when I submit the login form"

1. Get tab context: tabs_context_mcp(createIfEmpty=true)
2. Navigate to app: navigate(url="http://localhost:3000", tabId=<id>)
3. Monitor console: read_console_messages(tabId=<id>, onlyErrors=true)
4. Fill form: form_input(ref="email", value="test@example.com", tabId=<id>)
5. Submit: computer(action="left_click", ref="submit-btn", tabId=<id>)
6. Check errors: read_console_messages(tabId=<id>, onlyErrors=true)
7. Check network: read_network_requests(tabId=<id>, urlPattern="/api/")
8. Report findings with specific error messages and failed requests

Key advantage: Chain browser actions with terminal commands in a single workflow.

Table of Contents

  1. When to Use This Skill
  2. What This Skill Does
  3. Setup and Prerequisites
  4. Core Workflow Patterns

- 4.1 Testing Web Applications - 4.2 Debugging with Console and Network - 4.3 Data Extraction - 4.4 Form Automation - 4.5 Authenticated Web Apps - 4.6 Multi-Site Workflows

  1. MCP Tool Reference
  2. Best Practices
  3. Troubleshooting
  4. Integration with Other Skills

When to Use This Skill

Explicit Triggers:

  • "Test my web app" / "Check the console"
  • "Fill this form" / "Extract data from [URL]"
  • "Automate [browser task]" / "Open [authenticated app]"
  • "Debug [frontend issue]" / "Verify [UI behavior]"

Implicit Triggers:

  • Frontend bug investigation requiring console logs
  • Repetitive data entry or form filling
  • Web scraping or data extraction from live sites
  • Testing form validation or user flows
  • Interacting with authenticated services (Gmail, Docs, Notion)
  • Visual regression testing or design verification

Debugging Triggers:

  • "Why is this breaking in the browser?"
  • "What console errors appear when I..."
  • "What network requests are failing?"

What This Skill Does

Chrome integration enables six core capabilities:

  1. Live Debugging - Read console errors and DOM state, identify root cause, fix code
  2. Web App Testing - Verify form validation, check user flows, test local development servers
  3. Data Extraction - Scrape structured data from web pages and save locally
  4. Form Automation - Automate repetitive data entry, form filling, multi-site workflows
  5. Authenticated Apps - Interact with Google Docs, Gmail, Notion, or any logged-in service
  6. Session Recording - Capture browser interactions as annotated GIFs for documentation

Setup and Prerequisites

Required:

  • Google Chrome browser
  • Claude in Chrome extension v1.0.36+ (from Chrome Web Store)
  • Claude Code CLI v2.0.73+ (claude --version)
  • Paid Claude plan (Pro, Team, or Enterprise)

Enable Chrome integration:

# Start with Chrome enabled
claude --chrome

# Or enable from within session
/chrome

Verify connection:

# Check status and manage settings
/chrome

# List available MCP tools
/mcp
# Click into 'claude-in-chrome' to see all tools

Enable by default (optional):

Run /chrome and select "Enabled by default" to avoid --chrome flag each time.

Note: Chrome integration requires a visible browser window. You'll see Chrome open and navigate in real time - there's no headless mode.

Core Workflow Patterns

4.1 Testing Web Applications

Pattern: Test local development server

Workflow:
1. tabs_context_mcp(createIfEmpty=true) → Get tabId
2. navigate(url="http://localhost:3000", tabId=<id>)
3. computer(action="screenshot", tabId=<id>) → Visual verification
4. form_input(ref="username", value="testuser", tabId=<id>)
5. computer(action="left_click", ref="submit", tabId=<id>)
6. read_console_messages(tabId=<id>, onlyErrors=true)
7. read_network_requests(tabId=<id>, urlPattern="/api/auth")
8. Report: Success/failure with specific errors or network issues

Common testing scenarios:

  • Form validation (submit invalid data, verify error messages)
  • User flows (signup → login → dashboard → action)
  • Visual regressions (screenshot before/after changes)
  • API integration (verify network requests match expectations)

Example request:

"I just updated the signup form. Can you test it on localhost:3000?
Try submitting with invalid email, then valid data, and check if
the success message appears."

4.2 Debugging with Console and Network

Pattern: Investigate frontend errors

Workflow:
1. tabs_context_mcp() → Get current tab
2. read_console_messages(
     tabId=<id>,
     pattern="error|exception|failed",
     onlyErrors=true
   )
3. read_network_requests(
     tabId=<id>,
     urlPattern="/api/",
     filterStatus=[400, 401, 403, 404, 500, 502, 503]
   )
4. Analyze errors:
   - Console: TypeError, ReferenceError, network failures
   - Network: Failed requests, 401 unauthorized, 500 server errors
5. Identify root cause (missing API endpoint, CORS issue, auth token expired)
6. Suggest fix in codebase (update API call, add error handling, fix endpoint)

Example request:

"The dashboard page is throwing errors. Can you check what's failing?"

Common debugging patterns:

  • CORS issues (network request blocked, check headers)
  • API authentication (401/403, check token in request headers)
  • Missing dependencies (module not found, check imports)
  • Runtime errors (undefined variables, null references)

See references/debugging-patterns.md for comprehensive error analysis workflows.

4.3 Data Extraction

Pattern: Scrape structured data from web pages

Workflow:
1. tabs_context_mcp(createIfEmpty=true)
2. navigate(url="https://example.com/products", tabId=<id>)
3. get_page_text(tabId=<id>) → Full page text
4. Parse structured data:
   - Product names
   - Prices
   - Availability
   - URLs
5. Save to CSV/JSON:
   Write(file_path="products.csv", content=<data>)
6. Report: "Extracted 47 products to products.csv"

Example request:

"Go to the product listings page and extract the name, price, and
availability for each item. Save as CSV."

Advanced extraction:

  • Multi-page pagination (loop through pages)
  • Dynamic content (wait for AJAX to load)
  • Authenticated data (use logged-in session)

See examples/data-extraction-examples.md for complex scraping workflows.

4.4 Form Automation

Pattern: Automate repetitive data entry

Workflow:
1. Read local data: Read(file_path="contacts.csv")
2. Parse CSV rows
3. For each row:
   a. tabs_context_mcp()
   b. navigate(url="https://crm.example.com/add-contact", tabId=<id>)
   c. form_input(ref="name", value=row.name, tabId=<id>)
   d. form_input(ref="email", value=row.email, tabId=<id>)
   e. form_input(ref="phone", value=row.phone, tabId=<id>)
   f. computer(action="left_click", ref="submit", tabId=<id>)
   g. Wait for confirmation
4. Report: "Processed 15 contacts successfully"

Example request:

"I have customer contacts in contacts.csv. For each row, go to
our CRM and fill in the contact form."

Form filling tips:

  • Use form_input for text fields (faster than typing)
  • Use computer(action="left_click") for buttons
  • Use computer(action="type") for rich text editors
  • Wait between submissions to avoid rate limits

4.5 Authenticated Web Apps

Pattern: Interact with Google Docs, Gmail, Notion

Workflow:
1. tabs_context_mcp() → Access existing logged-in session
2. navigate(url="https://docs.google.com/document/d/abc123", tabId=<id>)
3. computer(action="left_click", coordinate=[400, 300], tabId=<id>) → Click into editor
4. computer(action="type", text="Meeting notes:\n- Discussed Q1 roadmap", tabId=<id>)
5. Verify: get_page_text(tabId=<id>) → Check content saved
6. Report: "Added meeting notes to Google Doc"

Example request:

"Draft a project update based on recent commits and add it to my
Google Doc at docs.google.com/document/d/abc123"

Supported authenticated apps:

  • Google Workspace (Docs, Sheets, Gmail, Calendar)
  • Notion (databases, pages)
  • Slack (channels, DMs)
  • GitHub (issues, PRs)
  • Any service you're logged into in Chrome

Authentication handling:

  • Uses your existing browser login state (no credential entry needed)
  • If you hit a login page, Claude pauses and asks you to log in manually
  • Claude never handles passwords or 2FA (you complete authentication)

4.6 Multi-Site Workflows

Pattern: Coordinate tasks across multiple websites

Workflow:
1. Check calendar for meetings tomorrow
   - navigate(url="https://calendar.google.com", tabId=<id>)
   - get_page_text(tabId=<id>)
   - Extract meeting attendees
2. For each external attendee:
   - tabs_create_mcp() → New tab
   - navigate(url="https://linkedin.com/in/{name}", tabId=<new-id>)
   - get_page_text(tabId=<new-id>)
   - Extract company info
3. Return to calendar tab
   - navigate(url="https://calendar.google.com/event/{id}", tabId=<id>)
   - Add note about attendee's company
4. Report: "Added context notes for 3 external meetings"

Example request:

"Check my calendar for meetings tomorrow, then for each meeting with
an external attendee, look up their company on LinkedIn and add a
note about what they do."

Tab management:

  • tabs_context_mcp() - Get current tab info
  • tabs_create_mcp() - Create new tab
  • Switch between tabs by using different tabId values

MCP Tool Reference

Core Navigation:

  • navigate(url, tabId) - Navigate to URL
  • computer(action="left_click", coordinate/ref, tabId) - Click element
  • computer(action="type", text, tabId) - Type text
  • form_input(ref, value, tabId) - Fill form field (faster than typing)

Data Retrieval:

  • get_page_text(tabId) - Get full page text
  • read_page(tabId) - Get page content with structure
  • find(selector, tabId) - Find elements matching selector

Debugging:

  • read_console_messages(tabId, pattern, onlyErrors) - Get console logs
  • read_network_requests(tabId, urlPattern, filterStatus) - Get network requests

Tab Management:

  • tabs_context_mcp(createIfEmpty) - Get current tab info (always call first)
  • tabs_create_mcp() - Create new tab
  • browser_close(tabId) - Close tab

Recording:

  • gif_creator(action="start_recording", tabId) - Start GIF recording
  • gif_creator(action="stop_recording", tabId) - Stop recording
  • gif_creator(action="export", tabId, filename, options) - Export GIF

Visual:

  • computer(action="screenshot", tabId) - Take screenshot
  • browser_resize(width, height, tabId) - Resize browser window

For detailed parameter schemas, run:

mcp-cli info claude-in-chrome/<tool-name>

See references/mcp-tool-reference.md for comprehensive parameter documentation.

Best Practices

Always start with tab context:

tabs_context_mcp(createIfEmpty=true) → Get tabId

Without this, you won't have a valid tabId for subsequent operations.

Handle authentication gracefully:

  • Never ask for passwords or API keys
  • If you hit a login page, pause and ask user to log in manually
  • Resume workflow after user confirms "I'm logged in"

Monitor console and network during testing:

read_console_messages(tabId=<id>, onlyErrors=true)
read_network_requests(tabId=<id>, urlPattern="/api/")

Report specific errors, not generic "something failed".

Use appropriate input methods:

  • form_input - Text fields (fast, reliable)
  • computer(action="type") - Rich text editors, contenteditable
  • computer(action="left_click") - Buttons, links, dropdowns

Wait for page loads:

navigate(url="...", tabId=<id>)
computer(action="wait", duration=2, tabId=<id>) → Let page load

Dynamic content (AJAX, React) needs time to render.

Filter console output:

read_console_messages(
  tabId=<id>,
  pattern="error|exception|failed",
  onlyErrors=true
)

Console logs can be verbose - focus on errors.

Dismiss modal dialogs manually: JavaScript alerts/confirms block browser events. If a dialog appears, ask user to dismiss it and tell Claude to continue.

Fresh tabs for unresponsive sessions: If a tab becomes unresponsive, create a new tab:

tabs_create_mcp() → New tabId

Troubleshooting

Extension not detected:

  1. Verify Claude in Chrome extension v1.0.36+ installed
  2. Verify Claude Code CLI v2.0.73+ (claude --version)
  3. Check Chrome is running
  4. Run /chrome → "Reconnect extension"
  5. Restart both Claude Code and Chrome if needed

Browser not responding:

  1. Check for modal dialog (alert, confirm, prompt) blocking page
  2. Ask Claude to create new tab and retry
  3. Restart Chrome extension (disable and re-enable)

First-time setup issues: First use installs native messaging host. If permission errors occur, restart Chrome.

Console/network requests not appearing:

  1. Verify page is fully loaded (wait 2-3 seconds after navigate)
  2. Check URL pattern matches actual requests
  3. Try without filters first (get all logs, then refine)

Form input not working:

  1. Verify element reference is correct (use find to locate)
  2. Try computer(action="type") instead of form_input
  3. Click into field first: computer(action="left_click", ref=<field>)

See references/troubleshooting.md for detailed diagnostic workflows.

Integration with Other Skills

With chrome-gif-recorder: Record visual tutorials of web workflows with annotations.

With quality-code-review: Test changes in browser before committing (verify UI works correctly).

With observability-analyze-logs: Combine application logs with browser console for full-stack debugging.

With create-adr-spike: Research libraries by navigating documentation sites and extracting examples.

Example integrated workflow:

1. Make code changes (terminal)
2. Test in browser with console monitoring (chrome-browser-automation)
3. Record successful demo as GIF (chrome-gif-recorder)
4. Run quality gates (quality-run-quality-gates)
5. Commit with proof-of-work GIF (git commit)

Supporting Files

references/

  • mcp-tool-reference.md - Detailed MCP tool parameters and schemas
  • debugging-patterns.md - Console/network error analysis workflows
  • troubleshooting.md - Common issues and diagnostic procedures

examples/

  • testing-examples.md - Web app testing patterns (form validation, user flows)
  • data-extraction-examples.md - Scraping workflows (pagination, dynamic content)
  • authenticated-app-examples.md - Google Docs, Gmail, Notion workflows
  • multi-site-examples.md - Complex multi-tab coordination patterns

Expected Outcomes

Successful web app test:

✅ Web App Tested Successfully

URL: http://localhost:3000/login
Test: Form validation with invalid/valid data
Console: 0 errors
Network: POST /api/auth → 200 OK (token received)
Result: Success message displayed correctly

All validations passed!

Debugging with errors found:

⚠️ Frontend Issues Detected

Console Errors:
1. TypeError: Cannot read property 'name' of undefined
   - File: dashboard.js:42
   - Cause: API response missing 'user' object

Network Failures:
1. GET /api/user/preferences → 401 Unauthorized
   - Cause: Auth token expired

Recommendations:
1. Add null check: user?.name || 'Unknown'
2. Refresh auth token before API call

Data extraction success:

✅ Data Extracted Successfully

Source: https://example.com/products
Extracted: 47 products
Fields: name, price, availability, url
Output: products.csv (8KB)

Sample data:
- Widget Pro, $49.99, In Stock, /products/widget-pro
- Gadget Plus, $79.99, Backordered, /products/gadget-plus

Expected Benefits

MetricBeforeAfterImprovement
Frontend debugging time15-30 min3-5 min80% faster
Form automation (50 entries)60 min manual5 min automated90% faster
Multi-site data gathering30 min5 min83% faster
Test coverage (manual check)Ad-hocSystematic100% reliability

Success Metrics

A successful browser automation workflow meets these criteria:

✅ Tab context retrieved before operations ✅ Navigation completed successfully ✅ Console/network monitoring included for testing ✅ Specific errors reported (not generic failures) ✅ Data extraction validated (row counts, field completeness) ✅ Form submissions confirmed (success messages visible) ✅ Authentication handled gracefully (no credential exposure) ✅ Results saved locally (CSV, JSON, screenshots)

Requirements

Browser: Chrome with Claude in Chrome extension v1.0.36+, visible window required CLI: Claude Code v2.0.73+, started with --chrome flag or /chrome enabled Permissions: Chrome extension permissions for target sites (manage in extension settings) Network: Internet access for web navigation, local server access for development testing

Red Flags to Avoid

  1. Skipping tab context - Always call tabs_context_mcp() first
  2. Handling passwords - Never ask for credentials, let user log in manually
  3. Ignoring console errors - Always check console during testing
  4. Generic error reports - Report specific error messages and stack traces
  5. Not waiting for page loads - Add waits after navigation for dynamic content
  6. Skipping network monitoring - Check network requests for API failures
  7. Using wrong input method - form_input for fields, type for rich text
  8. Continuing after modal dialogs - Ask user to dismiss alerts/confirms
  9. Not verifying data extraction - Validate row counts and field completeness
  10. Exposing sensitive data - Never log passwords, tokens, or PII

Notes

Architecture:

  • Claude Code (CLI) ↔ Native Messaging API ↔ Claude in Chrome Extension ↔ Browser
  • Extension has same permissions as your browser (site-level permissions inherited)
  • No headless mode - browser window must be visible

Privacy:

  • Uses existing browser login state (no credential storage)
  • Browser automation shares your session (cookies, tokens)
  • Screenshot/GIF recording captures visible content only

Performance:

  • Console logs can be verbose (filter with pattern/onlyErrors)
  • Network requests accumulate (use urlPattern to filter)
  • Page loads vary (wait 2-3 seconds for dynamic content)

Limitations:

  • Google Chrome only (Brave, Arc, other Chromium browsers not supported)
  • WSL (Windows Subsystem for Linux) not supported
  • Modal dialogs (alert/confirm/prompt) block automation
  • CAPTCHAs and login pages require manual user intervention

Context usage:

  • Enabling --chrome by default increases context usage (all tools loaded)
  • Use flag only when needed if context consumption is a concern
  • Run /chrome to check current settings

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.79%
按下载量换算43

Claude

28.67%
按下载量换算34

Cursor

19.24%
按下载量换算23

Gemini CLI

9.28%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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