workspace-bingbu/skills/agent-browser/SKILL.md
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
npx skillsauth add gaos6e/myopenclaw Agent BrowserInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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npm install -g agent-browser
agent-browser install
agent-browser install --with-deps
git clone https://github.com/vercel-labs/agent-browser
cd agent-browser
pnpm install
pnpm build
agent-browser install
agent-browser open <url> # Navigate to page
agent-browser snapshot -i # Get interactive elements with refs
agent-browser click @e1 # Click element by ref
agent-browser fill @e2 "text" # Fill input by ref
agent-browser close # Close browser
agent-browser open <url>agent-browser snapshot -i (returns elements with refs like @e1, @e2)agent-browser open <url> # Navigate to URL
agent-browser back # Go back
agent-browser forward # Go forward
agent-browser reload # Reload page
agent-browser close # Close browser
agent-browser snapshot # Full accessibility tree
agent-browser snapshot -i # Interactive elements only (recommended)
agent-browser snapshot -c # Compact output
agent-browser snapshot -d 3 # Limit depth to 3
agent-browser snapshot -s "#main" # Scope to CSS selector
agent-browser click @e1 # Click
agent-browser dblclick @e1 # Double-click
agent-browser focus @e1 # Focus element
agent-browser fill @e2 "text" # Clear and type
agent-browser type @e2 "text" # Type without clearing
agent-browser press Enter # Press key
agent-browser press Control+a # Key combination
agent-browser keydown Shift # Hold key down
agent-browser keyup Shift # Release key
agent-browser hover @e1 # Hover
agent-browser check @e1 # Check checkbox
agent-browser uncheck @e1 # Uncheck checkbox
agent-browser select @e1 "value" # Select dropdown
agent-browser scroll down 500 # Scroll page
agent-browser scrollintoview @e1 # Scroll element into view
agent-browser drag @e1 @e2 # Drag and drop
agent-browser upload @e1 file.pdf # Upload files
agent-browser get text @e1 # Get element text
agent-browser get html @e1 # Get innerHTML
agent-browser get value @e1 # Get input value
agent-browser get attr @e1 href # Get attribute
agent-browser get title # Get page title
agent-browser get url # Get current URL
agent-browser get count ".item" # Count matching elements
agent-browser get box @e1 # Get bounding box
agent-browser is visible @e1 # Check if visible
agent-browser is enabled @e1 # Check if enabled
agent-browser is checked @e1 # Check if checked
agent-browser screenshot # Screenshot to stdout
agent-browser screenshot path.png # Save to file
agent-browser screenshot --full # Full page
agent-browser pdf output.pdf # Save as PDF
agent-browser record start ./demo.webm # Start recording (uses current URL + state)
agent-browser click @e1 # Perform actions
agent-browser record stop # Stop and save video
agent-browser record restart ./take2.webm # Stop current + start new recording
Recording creates a fresh context but preserves cookies/storage from your session. If no URL is provided, it automatically returns to your current page. For smooth demos, explore first, then start recording.
agent-browser wait @e1 # Wait for element
agent-browser wait 2000 # Wait milliseconds
agent-browser wait --text "Success" # Wait for text
agent-browser wait --url "/dashboard" # Wait for URL pattern
agent-browser wait --load networkidle # Wait for network idle
agent-browser wait --fn "window.ready" # Wait for JS condition
agent-browser mouse move 100 200 # Move mouse
agent-browser mouse down left # Press button
agent-browser mouse up left # Release button
agent-browser mouse wheel 100 # Scroll wheel
agent-browser find role button click --name "Submit"
agent-browser find text "Sign In" click
agent-browser find label "Email" fill "[email protected]"
agent-browser find first ".item" click
agent-browser find nth 2 "a" text
agent-browser set viewport 1920 1080 # Set viewport size
agent-browser set device "iPhone 14" # Emulate device
agent-browser set geo 37.7749 -122.4194 # Set geolocation
agent-browser set offline on # Toggle offline mode
agent-browser set headers '{"X-Key":"v"}' # Extra HTTP headers
agent-browser set credentials user pass # HTTP basic auth
agent-browser set media dark # Emulate color scheme
agent-browser cookies # Get all cookies
agent-browser cookies set name value # Set cookie
agent-browser cookies clear # Clear cookies
agent-browser storage local # Get all localStorage
agent-browser storage local key # Get specific key
agent-browser storage local set k v # Set value
agent-browser storage local clear # Clear all
agent-browser network route <url> # Intercept requests
agent-browser network route <url> --abort # Block requests
agent-browser network route <url> --body '{}' # Mock response
agent-browser network unroute [url] # Remove routes
agent-browser network requests # View tracked requests
agent-browser network requests --filter api # Filter requests
agent-browser tab # List tabs
agent-browser tab new [url] # New tab
agent-browser tab 2 # Switch to tab
agent-browser tab close # Close tab
agent-browser window new # New window
agent-browser frame "#iframe" # Switch to iframe
agent-browser frame main # Back to main frame
agent-browser dialog accept [text] # Accept dialog
agent-browser dialog dismiss # Dismiss dialog
agent-browser eval "document.title" # Run JavaScript
agent-browser state save auth.json # Save session state
agent-browser state load auth.json # Load saved state
agent-browser open https://example.com/form
agent-browser snapshot -i
# Output shows: textbox "Email" [ref=e1], textbox "Password" [ref=e2], button "Submit" [ref=e3]
agent-browser fill @e1 "[email protected]"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i # Check result
# Login once
agent-browser open https://app.example.com/login
agent-browser snapshot -i
agent-browser fill @e1 "username"
agent-browser fill @e2 "password"
agent-browser click @e3
agent-browser wait --url "/dashboard"
agent-browser state save auth.json
# Later sessions: load saved state
agent-browser state load auth.json
agent-browser open https://app.example.com/dashboard
agent-browser --session test1 open site-a.com
agent-browser --session test2 open site-b.com
agent-browser session list
Add --json for machine-readable output:
agent-browser snapshot -i --json
agent-browser get text @e1 --json
agent-browser open example.com --headed # Show browser window
agent-browser console # View console messages
agent-browser console --clear # Clear console
agent-browser errors # View page errors
agent-browser errors --clear # Clear errors
agent-browser highlight @e1 # Highlight element
agent-browser trace start # Start recording trace
agent-browser trace stop trace.zip # Stop and save trace
agent-browser record start ./debug.webm # Record from current page
agent-browser record stop # Save recording
agent-browser --cdp 9222 snapshot # Connect via CDP
development
Connect to 100+ APIs (Google Workspace, Microsoft 365, GitHub, Notion, Slack, Airtable, HubSpot, etc.) with managed OAuth. Use this skill when users want to interact with external services. Security: The MATON_API_KEY authenticates with Maton.ai but grants NO access to third-party services by itself. Each service requires explicit OAuth authorization by the user through Maton's connect flow. Access is strictly scoped to connections the user has authorized. Provided by Maton (https://maton.ai).
tools
# SKILL.md # Web Automation Service 自动化 Web 任务执行服务。 ## 能力 - 表单填写 - 数据抓取 - 定时任务 - 自动化测试 - API 测试 - 网站监控 - 自动化提交 ## 使用方式 ```bash # 自动化表单填写 openclaw run web-automation --url "https://example.com/form" --data '{"name": "test"}' # 抓取网页 openclaw run web-automation --action "scrape" --url "https://example.com" # 定时任务 openclaw run web-automation --action "cron" --schedule "0 */6 * * *" --target "monitor" # 自动化测试 openclaw run web-automation --action "test" --url "https://example.com" ``` ## 收费模
testing
This skill should be used when the user asks to "生成 AI 大事日报", "整理 AI 日报", "汇总 AI 新闻", "总结 AI 行业动态", "做 AI daily brief", or wants a recurring AI news summary with official sources first.
development
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.