A high-performance skill for automating browser interactions through AgentGo's distributed cloud cluster using Playwright.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentgo-browser
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agentgo-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 AgentGo Browser Automation?
The agentgo-browser skill provides a robust interface for AI agents to interact with the web via a remote, distributed cloud browser infrastructure. By leveraging AgentGo's cluster, Openclaw Skills can execute complex workflows—such as navigating websites, filling forms, and extracting data—without taxing local system resources. This skill is specifically optimized for high-reliability automation tasks that require a stable, remote browser environment.
Built on top of the Playwright framework, it allows for seamless WebSocket connections to remote Chromium instances. This architecture is ideal for scaling web automation, as it handles the heavy lifting of browser rendering in the cloud. It ensures that Openclaw Skills remain lightweight and efficient while maintaining the ability to process dynamic web content and interact with modern web applications at scale.
AgentGo Browser Automation Use Cases
- Automating complex form submissions and multi-step registration processes.
- Extracting structured data from dynamic, JavaScript-heavy websites.
- Generating automated screenshots and visual reports for web applications.
- Testing web application functionality across remote cloud environments.
- Implementing human-like navigation to interact with protected web resources.
How AgentGo Browser Automation Works
- The agent authenticates with the AgentGo cloud service using a dedicated API key.
- A WebSocket connection is established between the local environment and the AgentGo cluster using Playwright 1.51.0.
- The skill initializes a remote Chromium instance with specific launch options and authentication headers.
- Commands are sent over the WebSocket to perform interactions like clicking, typing, or navigating.
- The skill captures the resulting data, screenshots, or page state and returns it to the agent.
- The remote session is closed to ensure efficient resource management within the Openclaw Skills ecosystem.
AgentGo Browser Automation Setup
To get started, you must have an API key from the AgentGo dashboard. Set your environment variable and install the specific required version of Playwright to ensure protocol compatibility:
export AGENTGO_API_KEY=your_api_key_here
npm install [email protected]
Ensure that you use version 1.51.0 exactly, as newer versions may have protocol incompatibilities with the remote server.
AgentGo Browser Automation Data Schema & Taxonomy
The skill manages interaction data and session metadata through the following structure:
| Component | Type | Description |
|---|---|---|
| API Key | String | Used for authenticating the WebSocket session |
| Launch Options | JSON | Encoded options including _apikey for the connection URL |
| Selectors | String | CSS or XPath selectors used to target DOM elements |
| Artifacts | Binary/JSON | Screenshots (PNG) and extracted structured data from page evaluations |
AgentGo Browser Automation Advanced Features
- Parallel page execution for handling multiple web tasks simultaneously in the cloud.
- Advanced anti-detection support including human-like typing and natural navigation patterns.
- Mobile emulation capabilities to test or scrape mobile-specific web layouts.
- Session persistence using cookie authentication and custom iPhone context headers.
- Direct integration with Openclaw Skills workflows for automated data pipelines.
SKILL.md
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