agent-browser-automation
Headless browser automation CLI for AI agents using native Rust binary with Chrome DevTools Protocol
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/reason-machines/trending-skills --skill agent-browser-automation- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads agent-browser-automation automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
agent-browser
Skill by ara.so — Daily 2026 Skills collection.
agent-browser is a headless browser automation CLI built in Rust, designed for AI agents. It wraps Chrome via the Chrome DevTools Protocol (CDP) and exposes a fast, ergonomic command-line interface for navigation, interaction, accessibility snapshots, screenshots, network interception, and more — with no Node.js or Playwright runtime required.
Installation
Recommended (npm global)
npm install -g agent-browser
agent-browser install # Download Chrome for Testing (first time only)
macOS (Homebrew)
brew install agent-browser
agent-browser install
Rust / Cargo
cargo install agent-browser
agent-browser install
Local project dependency
npm install agent-browser
# Add to package.json scripts or invoke via npx
Linux (with system dependencies)
agent-browser install --with-deps
Quick Start
agent-browser open https://example.com
agent-browser snapshot # Accessibility tree with @refs (best for AI)
agent-browser click @e2 # Click by ref from snapshot
agent-browser fill @e3 "hello@example.com" # Fill by ref
agent-browser get text @e1 # Get text content
agent-browser screenshot page.png
agent-browser close
Core Commands
Navigation
agent-browser open <url> # Navigate (aliases: goto, navigate)
agent-browser get url # Get current URL
agent-browser get title # Get page title
agent-browser close # Close browser (aliases: quit, exit)
Accessibility Snapshot (recommended for AI agents)
agent-browser snapshot # Returns accessibility tree with @ref IDs
agent-browser snapshot -i # Interactive / compact mode
Snapshot output includes @eN refs you can use directly:
@e1 [button] "Submit"
@e2 [textbox] "Email" value=""
@e3 [link] "Sign in"
Then act on them:
agent-browser fill @e2 "user@example.com"
agent-browser click @e1
Interaction
agent-browser click <sel> # Click element
agent-browser dblclick <sel> # Double-click
agent-browser fill <sel> <text> # Clear and fill input
agent-browser type <sel> <text> # Type into element
agent-browser press <key> # Press key (Enter, Tab, Control+a)
agent-browser keyboard type <text> # Type at current focus (real keystrokes)
agent-browser keyboard inserttext <text> # Insert text without key events
agent-browser hover <sel> # Hover element
agent-browser select <sel> <value> # Select dropdown option
agent-browser check <sel> # Check checkbox
agent-browser uncheck <sel> # Uncheck checkbox
agent-browser scroll down 500 # Scroll (up/down/left/right, optional px)
agent-browser scroll down --selector "#feed" # Scroll within element
agent-browser scrollintoview <sel> # Scroll element into view
agent-browser drag <src> <target> # Drag and drop
agent-browser upload <sel> /path/file.pdf # Upload file
Screenshots & PDF
agent-browser screenshot # Save to temp dir, print path
agent-browser screenshot page.png # Save to path
agent-browser screenshot --full page.png # Full-page screenshot
agent-browser screenshot --annotate # Numbered element labels overlay
agent-browser screenshot --screenshot-dir ./shots # Custom output directory
agent-browser screenshot --screenshot-format jpeg --screenshot-quality 80
agent-browser pdf output.pdf # Save page as PDF
Getting Element Info
agent-browser get text <sel> # Text content
agent-browser get html <sel> # innerHTML
agent-browser get value <sel> # Input value
agent-browser get attr <sel> <attr> # Attribute value
agent-browser get count <sel> # Count matching elements
agent-browser get box <sel> # Bounding box
agent-browser get styles <sel> # Computed styles
agent-browser get cdp-url # CDP WebSocket URL
State Checks
agent-browser is visible <sel>
agent-browser is enabled <sel>
agent-browser is checked <sel>
Semantic Locators (find)
agent-browser find role button click --name "Submit"
agent-browser find text "Sign In" click
agent-browser find label "Email" fill "test@example.com"
agent-browser find placeholder "Search..." fill "rust"
agent-browser find testid "login-btn" click
agent-browser find first ".item" click
agent-browser find nth 2 "a" text
agent-browser find role textbox fill "hello" --name "Username"
Actions: click, fill, type, hover, focus, check, uncheck, text
Waiting
agent-browser wait "#modal" # Wait for element visible
agent-browser wait 2000 # Wait N milliseconds
agent-browser wait --text "Welcome back" # Wait for text
agent-browser wait --url "**/dashboard" # Wait for URL pattern
agent-browser wait --load networkidle # Wait for load state
agent-browser wait --fn "window.appReady === true" # Wait for JS condition
agent-browser wait "#spinner" --state hidden # Wait for element to disappear
Load states: load, domcontentloaded, networkidle
JavaScript Eval
agent-browser eval "document.title"
agent-browser eval "JSON.stringify(window.__STATE__)"
agent-browser eval -b "BASE64_ENCODED_JS"
echo "return document.body.innerHTML" | agent-browser eval --stdin
Batch Execution (efficient multi-step)
echo '[
["open", "https://example.com"],
["snapshot", "-i"],
["fill", "@e2", "user@example.com"],
["click", "@e1"],
["screenshot", "result.png"]
]' | agent-browser batch --json
# Stop on first failure
agent-browser batch --bail < commands.json
Tabs & Frames
agent-browser tab # List tabs
agent-browser tab new https://... # New tab with URL
agent-browser tab 2 # Switch to tab 2
agent-browser tab close # Close current tab
agent-browser frame "#my-iframe" # Switch into iframe
agent-browser frame main # Return to main frame
Cookies & Storage
agent-browser cookies
agent-browser cookies set session_id "abc123"
agent-browser cookies clear
agent-browser storage local
agent-browser storage local set theme dark
agent-browser storage local clear
agent-browser storage session set cart '{"items":[]}'
Network
agent-browser network route "**/api/users" --body '{"users":[]}' # Mock response
agent-browser network route "**/ads/**" --abort # Block requests
agent-browser network unroute # Remove all routes
agent-browser network requests --filter api # View requests
agent-browser network har start
agent-browser network har stop recording.har
Browser Settings
agent-browser set viewport 1280 800
agent-browser set viewport 375 812 2 # With device pixel ratio (retina)
agent-browser set device "iPhone 14"
agent-browser set geo 37.7749 -122.4194
agent-browser set offline on
agent-browser set headers '{"X-Custom":"value"}'
agent-browser set credentials admin secret
agent-browser set media dark
Auth State
agent-browser state save ./auth.json # Save cookies + localStorage
agent-browser state load ./auth.json # Restore auth state
agent-browser state list # List saved states
agent-browser state show auth.json # Summary of saved state
Dialogs
agent-browser dialog accept # Accept alert/confirm/prompt
agent-browser dialog accept "My input" # Accept prompt with text
agent-browser dialog dismiss
Clipboard
agent-browser clipboard read
agent-browser clipboard write "Hello, World!"
agent-browser clipboard copy # Ctrl+C current selection
agent-browser clipboard paste # Ctrl+V
Diff & Visual Testing
agent-browser diff snapshot # vs last snapshot
agent-browser diff snapshot --baseline before.txt # vs saved file
agent-browser diff snapshot --selector "#main" --compact
agent-browser diff screenshot --baseline before.png
agent-browser diff screenshot --baseline b.png -o diff.png
agent-browser diff url https://v1.example.com https://v2.example.com
agent-browser diff url https://v1.example.com https://v2.example.com --screenshot
agent-browser diff url https://v1.example.com https://v2.example.com --selector "#content"
Debug & Profiling
agent-browser trace start trace.zip
agent-browser trace stop
agent-browser profiler start
agent-browser profiler stop profile.json
agent-browser console # View console messages
agent-browser errors # View uncaught JS exceptions
agent-browser highlight "#button" # Visually highlight element
agent-browser inspect # Open Chrome DevTools
agent-browser connect 9222 # Connect to existing browser via CDP port
Common Patterns
Login flow and save session
#!/bin/bash
agent-browser open https://app.example.com/login
agent-browser fill "#email" "$LOGIN_EMAIL"
agent-browser fill "#password" "$LOGIN_PASSWORD"
agent-browser click "[type=submit]"
agent-browser wait --url "**/dashboard"
agent-browser state save ./session.json
AI agent loop with snapshot-driven interaction
#!/bin/bash
agent-browser open https://app.example.com
agent-browser state load ./session.json
# Get snapshot, parse @refs, act
SNAPSHOT=$(agent-browser snapshot)
echo "$SNAPSHOT"
# Agent determines @e5 is the search box
agent-browser fill @e5 "quarterly report"
agent-browser press Enter
agent-browser wait --load networkidle
agent-browser snapshot
agent-browser screenshot results.png
Batch commands from a script (JSON)
cat > commands.json << 'EOF'
[
["open", "https://news.ycombinator.com"],
["wait", "--load", "networkidle"],
["get", "title"],
["snapshot"],
["screenshot", "hn.png"]
]
EOF
agent-browser batch --json < commands.json
Scrape with mocked network
agent-browser open https://api-heavy-app.example.com
agent-browser network route "**/api/slow-endpoint" --body '{"data":"mocked"}'
agent-browser snapshot
agent-browser network unroute
Full-page screenshot with annotations
agent-browser open https://example.com
agent-browser wait --load networkidle
agent-browser screenshot --full --annotate annotated.png
Connect to already-running Chrome
# Start Chrome with remote debugging
google-chrome --remote-debugging-port=9222 &
agent-browser connect 9222
agent-browser open https://example.com
agent-browser snapshot
Emulate mobile device
agent-browser set device "iPhone 14"
agent-browser open https://example.com
agent-browser screenshot mobile.png
HAR recording for network analysis
agent-browser open https://example.com
agent-browser network har start
agent-browser click "#load-data"
agent-browser wait --load networkidle
agent-browser network har stop session.har
Selector Reference
| Format | Example | Notes |
|---|---|---|
@ref | @e1, @e12 | From snapshot output — preferred for AI |
| CSS | #id, .class, [attr=val] | Standard CSS selectors |
| Text | "Sign In" | Exact text match |
| XPath | //button[@type='submit'] | Full XPath |
Troubleshooting
Chrome not found
agent-browser install # Downloads Chrome for Testing
agent-browser install --with-deps # Linux: also installs system libs
Element not found / timing issues
agent-browser wait "#my-element" # Wait for visibility first
agent-browser wait --load networkidle # Wait for page to settle
agent-browser wait --fn "!!document.querySelector('#app')"
Selector issues — use snapshot refs instead
# Instead of fragile CSS:
agent-browser click ".btn.btn-primary.submit-form"
# Use snapshot refs:
agent-browser snapshot # Find @e7 = [button] "Submit"
agent-browser click @e7
Debug what's on the page
agent-browser screenshot debug.png # Visual check
agent-browser snapshot # Accessibility tree
agent-browser console # JS console output
agent-browser errors # Uncaught exceptions
agent-browser eval "document.readyState"
Auth issues between sessions
agent-browser state save ./auth.json # After successful login
agent-browser state load ./auth.json # At start of next session
Handling alerts/dialogs
# Set up handler BEFORE the action that triggers dialog
agent-browser dialog accept
agent-browser click "#delete-button"
Performance — use batch for multi-step workflows
# Slow: one process per command
agent-browser open https://example.com
agent-browser fill "#q" "search"
agent-browser click "#submit"
# Fast: single process, multiple commands
echo '[["open","https://example.com"],["fill","#q","search"],["click","#submit"]]' \
| agent-browser batch --json
FAQ
What does the agent-browser-automation skill do?
Headless browser automation CLI for AI agents using native Rust binary with Chrome DevTools Protocol
How do I install agent-browser-automation?
Run npx skills add https://github.com/reason-machines/trending-skills --skill agent-browser-automation in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/agent-browser-automation/ (personal) or .claude/skills/agent-browser-automation/ (project).
Which AI agents can use agent-browser-automation?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is agent-browser-automation safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains agent-browser-automation?
It is published by reason-machines in reason-machines/trending-skills. It has 2,111 recorded installs.
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