Agent Browser Skill for Openclaw

A high-level web navigation and content extraction tool that enables AI agents to fetch and summarize real-time internet data.

zrslu01
v1.0.1
Apr 3, 2026
0
679
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install thundarr-browser

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install thundarr-browser using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Agent Browser Skill?

The Agent Browser Skill is designed to provide AI agents with a direct interface to the live web, overcoming the limitations of static training data. By integrating this skill, agents can navigate to specific URLs, extract meaningful text, and summarize content for immediate use in complex workflows. As a vital component of Openclaw Skills, it focuses on delivering high-signal information by stripping away HTML boilerplate and focusing on the core narrative or technical data of a webpage. This capability is essential for developers and researchers who need their agents to interact with the latest documentation, news, and online resources without manual intervention.

Agent Browser Skill Use Cases

  • Researching the latest software update logs and technical specifications.
  • Summarizing API documentation for real-time coding assistance.
  • Fetching news articles to provide context for current events.
  • Extracting text-based data from blogs and informational sites for knowledge management.

How Agent Browser Skill Works

  1. The user provides a search query or a specific URL to the AI agent.
  2. The skill invokes the browse.py Python engine to initiate a web request.
  3. The engine parses the HTML content, removing scripts, styles, and navigation elements.
  4. The primary text content is identified and condensed into a readable format.
  5. The skill returns the first 2000 characters to the agent to ensure efficient context window usage.

Agent Browser Skill Setup

To set up the Agent Browser Skill, ensure your agent environment is configured for Python execution. Install the required libraries and register the browse.py tool within your Openclaw Skills directory.

# Example setup for dependencies
pip install requests beautifulsoup4

Agent Browser Skill Data Schema & Taxonomy

The skill handles data through a simple input-output model designed for speed within the Openclaw Skills framework.

Component Type Description
Input URL String The fully qualified web address to visit.
Output Text String The cleaned text summary (max 2000 chars).
Engine Python browse.py script for extraction logic.

Agent Browser Skill Advanced Features

  • Automated boilerplate removal for high-quality content extraction.
  • Optimized token management for integration with various Openclaw Skills.
  • Real-time information retrieval for up-to-the-minute research tasks.
  • Lightweight Python-based execution for minimal overhead.

SKILL.md


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