ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
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?

Power your AI agents with Agent Browser. A high-performance Rust-based headless automation CLI for web navigation, interaction, and data extraction.

skill-install — Terminal

Install via CLI (Recommended)

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

What This Skill Does

Agent Browser is a high-performance, Rust-based headless browser automation engine designed to empower AI agents with the ability to interact with the web just like a human. By leveraging structured commands, the agent can navigate complex websites, analyze DOM structures via accessibility trees, and perform precise UI interactions. Unlike traditional automation scripts, this skill provides an 'interactive' mode that identifies elements with specific references (e.g., @e1, @e2), allowing the agent to perform granular tasks such as form filling, clicking, and complex drag-and-drop operations without needing to know the underlying HTML tag structures.

Installation

To begin, ensure you have the OpenClawProvider installed as per your OS requirements. Once the provider is active, install the CLI via npm: npm install -g agent-browser. For advanced users or those contributing to the project, the source can be cloned and built directly using pnpm. Always run agent-browser install to ensure browser dependencies are correctly configured for your environment.

Use Cases

  1. Automated Research: Have your agent browse target websites to aggregate data or monitor price changes.
  2. Headless Testing: Perform end-to-end testing of web applications by scripting user journeys.
  3. Content Submission: Automate the repetitive process of filling out forms, uploading files, or navigating through multi-step account setups.
  4. Dynamic Data Extraction: Use snapshots to extract specific elements from pages that require authentication or complex JavaScript rendering.

Example Prompts

  1. "Open https://example.com/login, fill the username field with 'my_user' and the password field with 'secure123', then click the login button."
  2. "Go to the contact page, snapshot the elements to find the submit button, and press Enter to submit the inquiry form."
  3. "Navigate to the latest news section, scroll down to load more items, and snapshot all interactive links available on the page."

Tips & Limitations

  • Snapshot Depth: When dealing with massive pages, use agent-browser snapshot -c or set a specific depth limit to avoid token exhaustion or irrelevant data.
  • Stability: Always re-snapshot after a navigation command, as DOM changes render old element references invalid.
  • Compliance: This skill provides significant power to interact with the web; ensure all automated requests comply with the website's robots.txt and terms of service.
  • OS Security: Note the specific installation requirements for MacOS, which uses a setup-wizard for driver configuration; always verify the source of your provider files.

Metadata

Stars1133
Views0
Updated2026-02-18
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

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

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

Tags(AI)

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

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