A specialized tool for deploying and managing isolated, high-performance cloud sandboxes for secure code execution and automation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cloudsway-scalebox-sandbox
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 cloudsway-scalebox-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 ScaleBox Sandbox Skill?
The ScaleBox Sandbox Skill provides developers and AI agents with a robust interface to create, manage, and interact with isolated cloud environments. By leveraging Openclaw Skills, users can spin up sandboxes for various workloads, including code interpretation, browser automation, and full desktop environments, all while ensuring local machine security. This skill acts as a bridge to the ScaleBox platform, offering seamless control via CLI, API, or Python SDK to execute potentially untrusted scripts or resource-intensive tasks in the cloud. It ensures that all remote code execution is decoupled from local resources, providing a safe playground for modern AI development.
ScaleBox Sandbox Skill Use Cases
- Running untrusted code in a strictly isolated environment to prevent local system compromise.
- Executing browser automation tasks using specialized templates like browser-use or computer-use.
- Testing development scripts with side effects without impacting local system files or configurations.
- Creating temporary development environments for remote code execution without local resource impact.
- Developing and debugging applications using VNC-enabled desktop environments in the cloud.
How ScaleBox Sandbox Skill Works
- Authentication: The user configures their SCALEBOX_API_KEY to authenticate with the ScaleBox cloud platform.
- Sandbox Provisioning: A sandbox is initialized using a specific template (e.g., base, code-interpreter, browser-use) via the CLI, REST API, or Python SDK.
- File Transfer: Local project files, scripts, or assets are uploaded to the absolute path of the remote sandbox workspace.
- Command Execution: Commands are sent to the sandbox to run scripts, install dependencies, or start services in the isolated environment.
- State Management: Users can pause, resume, or terminate sandboxes as needed to manage resources and maintain environment context.
- Interaction & Cleanup: The user interacts with the sandbox services via port-prefixed URLs and deletes the resources once the task is finished.
ScaleBox Sandbox Skill Setup
First, register at the ScaleBox Dashboard to obtain your API key. Then, configure your environment:
export SCALEBOX_API_KEY="your-api-key-here"
Install the CLI and authenticate with the server:
# Authenticate the CLI
scalebox-cli auth login --api-key $SCALEBOX_API_KEY --server-url https://api.scalebox.dev
For Python-based automation within Openclaw Skills, install the SDK:
pip install scalebox-sdk
ScaleBox Sandbox Skill Data Schema & Taxonomy
The skill manages sandboxes through structured templates and specific network mapping. Data is organized according to the following schema:
| Feature | Specification |
|---|---|
| Templates | base, code-interpreter, browser-use, desktop, computer-use-preview |
| Port Access | Uses port-prefixing: https://{port}-{sandbox_domain}/path |
| Workspace | Remote absolute paths required (e.g., /workspace/project) |
| Lifecycle Status | pending, running, paused, terminated |
| Resource Allocation | Minimum 2 CPUs; Configurable Memory (MB) and Storage (GB) |
All file operations utilize absolute paths to ensure security and prevent unauthorized directory traversal.
ScaleBox Sandbox Skill Advanced Features
- Support for async sandbox creation allowing for fire-and-forget orchestration in complex workflows.
- Custom port mapping for web-server exposure during sandbox creation or active runtime.
- Automated state preservation with pause and resume capabilities to save on compute costs.
- VNC support for desktop and browser-use templates to enable visual debugging and interaction.
- Integration with Google Computer Use for advanced AI-driven UI interaction and automation tasks.
SKILL.md
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