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Agent Browser

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.

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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.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
CONTRIBUTING.md, SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.2.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 31 sections Open source page

npm recommended

npm install -g agent-browser agent-browser install agent-browser install --with-deps

From Source

git clone https://github.com/vercel-labs/agent-browser cd agent-browser pnpm install pnpm build agent-browser install

Quick start

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

Core workflow

Navigate: agent-browser open <url> Snapshot: agent-browser snapshot -i (returns elements with refs like @e1, @e2) Interact using refs from the snapshot Re-snapshot after navigation or significant DOM changes

Navigation

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

Snapshot (page analysis)

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

Interactions (use @refs from snapshot)

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

Get information

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

Check state

agent-browser is visible @e1 # Check if visible agent-browser is enabled @e1 # Check if enabled agent-browser is checked @e1 # Check if checked

Screenshots & PDF

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

Video recording

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.

Wait

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

Mouse control

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

Semantic locators (alternative to refs)

agent-browser find role button click --name "Submit" agent-browser find text "Sign In" click agent-browser find label "Email" fill "user@test.com" agent-browser find first ".item" click agent-browser find nth 2 "a" text

Browser settings

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

Cookies & Storage

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

Network

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

Tabs & Windows

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

Frames

agent-browser frame "#iframe" # Switch to iframe agent-browser frame main # Back to main frame

Dialogs

agent-browser dialog accept [text] # Accept dialog agent-browser dialog dismiss # Dismiss dialog

JavaScript

agent-browser eval "document.title" # Run JavaScript

State management

agent-browser state save auth.json # Save session state agent-browser state load auth.json # Load saved state

Example: Form submission

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 "user@example.com" agent-browser fill @e2 "password123" agent-browser click @e3 agent-browser wait --load networkidle agent-browser snapshot -i # Check result

Example: Authentication with saved state

# 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

Sessions (parallel browsers)

agent-browser --session test1 open site-a.com agent-browser --session test2 open site-b.com agent-browser session list

JSON output (for parsing)

Add --json for machine-readable output: agent-browser snapshot -i --json agent-browser get text @e1 --json

Debugging

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

Troubleshooting

If the command is not found on Linux ARM64, use the full path in the bin folder. If an element is not found, use snapshot to find the correct ref. If the page is not loaded, add a wait command after navigation. Use --headed to see the browser window for debugging.

Options

--session <name> uses an isolated session. --json provides JSON output. --full takes a full page screenshot. --headed shows the browser window. --timeout sets the command timeout in milliseconds. --cdp <port> connects via Chrome DevTools Protocol.

Notes

Refs are stable per page load but change on navigation. Always snapshot after navigation to get new refs. Use fill instead of type for input fields to ensure existing text is cleared.

Reporting Issues

Skill issues: Open an issue at https://github.com/TheSethRose/Agent-Browser-CLI agent-browser CLI issues: Open an issue at https://github.com/vercel-labs/agent-browser

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs
  • SKILL.md Primary doc
  • CONTRIBUTING.md Docs