Lybic Cloud Sandbox Control for Openclaw

A versatile cloud computer sandbox for AI agents to perform GUI automation and isolated code execution across Windows, Linux, and Android.

aenjoy
v0.1.3
Feb 10, 2026
0
2.3k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install lybic-sandbox

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 lybic-sandbox 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 Lybic Cloud Sandbox Control?

The Lybic cloud-computer skill provides a powerful, disposable environment for agents to interact with operating systems just like a human would. Whether you need to automate legacy applications without APIs or run untrusted code in an isolated container, this tool offers full GUI control, including mouse clicks, keyboard inputs, and mobile touch gestures. It is an essential addition to your Openclaw Skills library for tasks requiring high observability and risk reduction.

Designed for reliability, the skill allows real-time monitoring and debugging through logs and session replays. By spinning up on-demand sandboxes, developers can handle complex workflows, manage files, and perform network operations without polluting their local environment or compromising security.

Lybic Cloud Sandbox Control Use Cases

  • Automating legacy desktop applications that lack modern APIs through GUI simulation.
  • Running and testing untrusted Python, Node.js, or shell scripts in an isolated cloud environment.
  • Performing mobile app automation and testing on remote Android sandboxes.
  • Scraping or interacting with web services that require complex browser-based interactions.
  • Creating reproducible data processing pipelines in a clean, disposable operating system.

How Lybic Cloud Sandbox Control Works

  1. Initialize the Lybic client using organization credentials and API keys provided via environment variables.
  2. Create a cloud sandbox by specifying the desired operating system shape, such as Windows, Linux, or Android.
  3. Execute commands or perform GUI actions like clicks, typing, or swiping using fractional coordinates for resolution independence.
  4. Capture screenshots or monitor process output via Base64-encoded streams to verify the agent's progress in real-time.
  5. Clean up resources by deleting the sandbox once the task is complete to optimize costs and operational overhead.

Lybic Cloud Sandbox Control Setup

Ensure you have Python 3 and pip installed on your system. You can then install the Lybic SDK to start using this part of the Openclaw Skills ecosystem:

pip install lybic

Configure your environment variables for authentication before running your scripts:

export LYBIC_ORG_ID="your_org_id"
export LYBIC_API_KEY="your_api_key"

Lybic Cloud Sandbox Control Data Schema & Taxonomy

The skill manages data through sandbox instances and structured file operations to ensure clean execution.

Property Description
Sandbox ID Unique identifier for the cloud instance (e.g., SBX-xxxx).
Shape OS configuration (e.g., beijing-2c-4g-cpu-linux for Linux).
Base64 I/O All process input/output is encoded in Base64 for safe data transport.
Coordinates GUI actions use fractional numerators and denominators for resolution independence.

Lybic Cloud Sandbox Control Advanced Features

  • Multi-platform support including native Windows, Linux, and Android environments for diverse testing scenarios.
  • Fractional coordinate system ensures GUI automation remains portable across different screen resolutions.
  • Advanced network operations including HTTP port mapping and public URL forwarding for sandbox services.
  • Integrated mobile app management for starting, closing, and listing Android packages programmatically.
  • Real-time screenshot capabilities and session logging for debugging and evaluating complex agent workflows within Openclaw Skills.

SKILL.md


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