/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a
$ npx -y skills add countbot-ai/CountBot --skill agent-browser --agent claude-codeHow it fires
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- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
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- Slash command
/agent-browser
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The summary Claude sees to decide when to auto-load this skill.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a
SKILL.md
agent-browser.SKILL.mdname: agent-browser
description: Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
allowed-tools: Bash(npx agent-browser:*), Bash(agent-browser:*)
Browser Automation with agent-browser
Core Workflow
Every browser automation follows this pattern:
1. **Navigate**: `agent-browser open <url>` 2. **Snapshot**: `agent-browser snapshot -i` (get element refs like `@e1`, `@e2`) 3. **Interact**: Use refs to click, fill, select 4. **Re-snapshot**: After navigation or DOM changes, get fresh refs
agent-browser open https://example.com/form
agent-browser snapshot -i
# Output: @e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit"
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
Essential Commands
# Navigation
agent-browser open <url> # Navigate (aliases: goto, navigate)
agent-browser close # Close browser
# Snapshot
agent-browser snapshot -i # Interactive elements with refs (recommended)
agent-browser snapshot -i -C # Include cursor-interactive elements (divs with onclick, cursor:pointer)
agent-browser snapshot -s "#selector" # Scope to CSS selector
# Interaction (use @refs from snapshot)
agent-browser click @e1 # Click element
agent-browser fill @e2 "text" # Clear and type text
agent-browser type @e2 "text" # Type without clearing
agent-browser select @e1 "option" # Select dropdown option
agent-browser check @e1 # Check checkbox
agent-browser press Enter # Press key
agent-browser scroll down 500 # Scroll page
# Get information
agent-browser get text @e1 # Get element text
agent-browser get url # Get current URL
agent-browser get title # Get page title
# Wait
agent-browser wait @e1 # Wait for element
agent-browser wait --load networkidle # Wait for network idle
agent-browser wait --url "**/page" # Wait for URL pattern
agent-browser wait 2000 # Wait milliseconds
# Capture
agent-browser screenshot # Screenshot to temp dir
agent-browser screenshot --full # Full page screenshot
agent-browser pdf output.pdf # Save as PDF
Common Patterns
Form Submission
agent-browser open https://example.com/signup
agent-browser snapshot -i
agent-browser fill @e1 "Jane Doe"
agent-browser fill @e2 "jane@example.com"
agent-browser select @e3 "California"
agent-browser check @e4
agent-browser click @e5
agent-browser wait --load networkidle
Authentication with State Persistence
# Login once and save state
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
# Reuse in future sessions
agent-browser state load auth.json
agent-browser open https://app.example.com/dashboard
Session Persistence
# Auto-save/restore cookies and localStorage across browser restarts
agent-browser --session-name myapp open https://app.example.com/login
# ... login flow ...
agent-browser close # State auto-saved to ~/.agent-browser/sessions/
# Next time, state is auto-loaded
agent-browser --session-name myapp open https://app.example.com/dashboard
# Encrypt state at rest
export AGENT_BROWSER_ENCRYPTION_KEY=$(openssl rand -hex 32)
agent-browser --session-name secure open https://app.example.com
# Manage saved states
agent-browser state list
agent-browser state show myapp-default.json
agent-browser state clear myapp
agent-browser state clean --older-than 7
Data Extraction
agent-browser open https://example.com/products
agent-browser snapshot -i
agent-browser get text @e5 # Get specific element text
agent-browser get text body > page.txt # Get all page text
# JSON output for parsing
agent-browser snapshot -i --json
agent-browser get text @e1 --json
Parallel Sessions
agent-browser --session site1 open https://site-a.com
agent-browser --session site2 open https://site-b.com
agent-browser --session site1 snapshot -i
agent-browser --session site2 snapshot -i
agent-browser session list
Connect to Existing Chrome
# Auto-discover running Chrome with remote debugging enabled
agent-browser --auto-connect open https://example.com
agent-browser --auto-connect snapshot
# Or with explicit CDP port
agent-browser --cdp 9222 snapshot
Visual Browser (Debugging)
agent-browser --headed open https://example.com
agent-browser highlight @e1 # Highlight element
agent-browser record start demo.webm # Record session
Local Files (PDFs, HTML)
# Open local files with file:// URLs
agent-browser --allow-file-access open file:///path/to/document.pdf
agent-browser --allow-file-access open file:///path/to/page.html
agent-browser screenshot output.png
iOS Simulator (Mobile Safari)
# List available iOS simulators
agent-browser device list
# Launch Safari on a specific device
agent-browser -p ios --device "iPhone 16 Pro" open https://example.com
# Same workflow as desktop - snapshot, interact, re-snapshot
agent-browser -p ios snapshot -i
agent-browser -p ios tap @e1 # Tap (alias for click)
agent-browser -p ios fill @e2 "text"
agent-browser -p ios swipe up
Read more
name: agent-browser description: Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. allowed-tools: Bash(npx agent-browser:*), Bash(agent-browser:*)
Browser Automation with agent-browser
Core Workflow
Every browser automation follows this pattern:
1. **Navigate**: `agent-browser open <url>` 2. **Snapshot**: `agent-browser snapshot -i` (get element refs like `@e1`, `@e2`) 3. **Interact**: Use refs to click, fill, select 4. **Re-snapshot**: After navigation or DOM changes, get fresh refs
agent-browser open https://example.com/form agent-browser snapshot -i # Output: @e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit" 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
Essential Commands
# Navigation agent-browser open <url> # Navigate (aliases: goto, navigate) agent-browser close # Close browser # Snapshot agent-browser snapshot -i # Interactive elements with refs (recommended) agent-browser snapshot -i -C # Include cursor-interactive elements (divs with onclick, cursor:pointer) agent-browser snapshot -s "#selector" # Scope to CSS selector # Interaction (use @refs from snapshot) agent-browser click @e1 # Click element agent-browser fill @e2 "text" # Clear and type text agent-browser type @e2 "text" # Type without clearing agent-browser select @e1 "option" # Select dropdown option agent-browser check @e1 # Check checkbox agent-browser press Enter # Press key agent-browser scroll down 500 # Scroll page # Get information agent-browser get text @e1 # Get element text agent-browser get url # Get current URL agent-browser get title # Get page title # Wait agent-browser wait @e1 # Wait for element agent-browser wait --load networkidle # Wait for network idle agent-browser wait --url "**/page" # Wait for URL pattern agent-browser wait 2000 # Wait milliseconds # Capture agent-browser screenshot # Screenshot to temp dir agent-browser screenshot --full # Full page screenshot agent-browser pdf output.pdf # Save as PDF
Common Patterns
Form Submission
agent-browser open https://example.com/signup agent-browser snapshot -i agent-browser fill @e1 "Jane Doe" agent-browser fill @e2 "jane@example.com" agent-browser select @e3 "California" agent-browser check @e4 agent-browser click @e5 agent-browser wait --load networkidle
Authentication with State Persistence
# Login once and save state agent-browser open https://app.example.com/login agent-browser snapshot -i agent-browser fill @e1 "$USERNAME" agent-browser fill @e2 "$PASSWORD" agent-browser click @e3 agent-browser wait --url "**/dashboard" agent-browser state save auth.json # Reuse in future sessions agent-browser state load auth.json agent-browser open https://app.example.com/dashboard
Session Persistence
# Auto-save/restore cookies and localStorage across browser restarts agent-browser --session-name myapp open https://app.example.com/login # ... login flow ... agent-browser close # State auto-saved to ~/.agent-browser/sessions/ # Next time, state is auto-loaded agent-browser --session-name myapp open https://app.example.com/dashboard # Encrypt state at rest export AGENT_BROWSER_ENCRYPTION_KEY=$(openssl rand -hex 32) agent-browser --session-name secure open https://app.example.com # Manage saved states agent-browser state list agent-browser state show myapp-default.json agent-browser state clear myapp agent-browser state clean --older-than 7
Data Extraction
agent-browser open https://example.com/products agent-browser snapshot -i agent-browser get text @e5 # Get specific element text agent-browser get text body > page.txt # Get all page text # JSON output for parsing agent-browser snapshot -i --json agent-browser get text @e1 --json
Parallel Sessions
agent-browser --session site1 open https://site-a.com agent-browser --session site2 open https://site-b.com agent-browser --session site1 snapshot -i agent-browser --session site2 snapshot -i agent-browser session list
Connect to Existing Chrome
# Auto-discover running Chrome with remote debugging enabled agent-browser --auto-connect open https://example.com agent-browser --auto-connect snapshot # Or with explicit CDP port agent-browser --cdp 9222 snapshot
Visual Browser (Debugging)
agent-browser --headed open https://example.com agent-browser highlight @e1 # Highlight element agent-browser record start demo.webm # Record session
Local Files (PDFs, HTML)
# Open local files with file:// URLs agent-browser --allow-file-access open file:///path/to/document.pdf agent-browser --allow-file-access open file:///path/to/page.html agent-browser screenshot output.png
iOS Simulator (Mobile Safari)
# List available iOS simulators agent-browser device list # Launch Safari on a specific device agent-browser -p ios --device "iPhone 16 Pro" open https://example.com # Same workflow as desktop - snapshot, interact, re-snapshot agent-browser -p ios snapshot -i agent-browser -p ios tap @e1 # Tap (alias for click) agent-browser -p ios fill @e2 "text" agent-browser -p ios swipe up
更适配中文用户的轻量开源AI Agent | 国产大模型Coding plan支持 | 兼容OpenClaw Skills生态| 已接入微信ClawBot/微博龙虾/飞书/钉钉/QQ/小智AI/Telegram/deepseek-v4。
Repo: countbot-ai/CountBot
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