reason-machines/trending-skills1 file

Agent Browser Automation

Headless browser automation CLI for AI agents using native Rust binary with Chrome DevTools Protocol

Specification
Skill ID
reason-machines/trending-skills/agent-browser-automation
Publisher
reason-machines
Repository
trending-skills
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

reason-machines/trending-skills/agent-browser-automationInstalls these files
  • SKILL.md

What this skill tells the agent

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

Use this skill in a project

Open any RiverX project, search the Skills panel for reason-machines/trending-skills/agent-browser-automation, and install it in one click.

Use this skill