agent-browser
Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.
Best use case
agent-browser is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.
Teams using agent-browser should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-browser/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-browser Compares
| Feature / Agent | agent-browser | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Browser Automation with agent-browser ## Quick start ```bash 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 1. Navigate: `agent-browser open <url>` 2. Snapshot: `agent-browser snapshot -i` (returns elements with refs like `@e1`, `@e2`) 3. Interact using refs from the snapshot 4. Re-snapshot after navigation or significant DOM changes ## Commands ### Navigation ```bash 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) ```bash 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) ```bash agent-browser click @e1 # Click agent-browser dblclick @e1 # Double-click agent-browser fill @e2 "text" # Clear and type agent-browser type @e2 "text" # Type without clearing agent-browser press Enter # Press 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 option agent-browser scroll down 500 # Scroll page agent-browser upload @e1 file.pdf # Upload files ``` ### Get information ```bash 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 ``` ### Screenshots & PDF ```bash agent-browser screenshot # Save to temp directory agent-browser screenshot path.png # Save to specific path agent-browser screenshot --full # Full page agent-browser pdf output.pdf # Save as PDF ``` ### Wait ```bash 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 ``` ### Semantic locators (alternative to refs) ```bash 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 placeholder "Search" type "query" ``` ### Authentication with saved state ```bash # 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: load saved state agent-browser state load auth.json agent-browser open https://app.example.com/dashboard ``` ### Cookies & Storage ```bash 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 localStorage agent-browser storage local set k v # Set value ``` ### JavaScript ```bash agent-browser eval "document.title" # Run JavaScript ``` ## Example: Form submission ```bash 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: Data extraction ```bash agent-browser open https://example.com/products agent-browser snapshot -i agent-browser get text @e1 # Get product title agent-browser get attr @e2 href # Get link URL agent-browser screenshot products.png ```
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