A secure execution environment for Openclaw Skills that enables AI agents to safely run and test code across multiple programming languages.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install yuyonghao-code-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 yuyonghao-code-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 Code Sandbox Skill?
The Code Sandbox skill provides a robust and isolated environment for Openclaw Skills agents to execute code snippets dynamically. Designed to handle diverse development needs, it supports popular runtimes including Node.js, Python, Go, and Rust, ensuring that agents can validate logic or perform computations without compromising the host system.
By implementing process isolation and temporary directory management, this Openclaw Skills utility offers a controlled workspace. It allows developers to define strict resource constraints such as timeouts and memory limits, making it an essential tool for building reliable AI-driven coding assistants and automated research agents.
Code Sandbox Skill Use Cases
- Safely testing AI-generated code snippets in a isolated environment.
- Performing dynamic data processing using Python or Node.js within an agent workflow.
- Validating multi-language logic for Go and Rust applications.
- Creating automated unit testing pipelines for Openclaw Skills agents.
- Running resource-constrained scripts to prevent system hang-ups.
How Code Sandbox Skill Works
- The AI agent sends a request containing the source code, target language, and optional configuration to the Code Sandbox.
- The skill initializes a unique temporary directory to ensure filesystem isolation.
- A child process is spawned using the specified runtime (e.g., python3 or node) with defined resource limits.
- The code is executed, and the sandbox captures stdout, stderr, and exit codes.
- Upon completion or timeout, the sandbox calculates execution metrics and returns a detailed result object.
- The temporary directory and associated processes are automatically cleaned up to maintain system integrity.
Code Sandbox Skill Setup
To integrate this capability into your Openclaw Skills workspace, follow these steps:
# Navigate to the skill directory
cd skills/code-sandbox
# Install required dependencies
npm install
# Verify the installation with a demo
npm run demo
Code Sandbox Skill Data Schema & Taxonomy
The Code Sandbox skill organizes execution data and history to provide transparency into agent activities. It tracks metrics via the following structure:
| Field | Type | Description |
|---|---|---|
| executionId | String | Unique identifier for the execution task |
| language | String | The runtime used (node, python, go, rust) |
| success | Boolean | Whether the code executed without runtime errors |
| output | String | The captured standard output |
| executionTime | Number | Total duration in milliseconds |
| memoryUsed | Number | Peak memory consumption (if supported) |
All temporary files are stored in a configurable tmpDir and purged immediately after the execution lifecycle completes.
Code Sandbox Skill Advanced Features
- Multi-language support for diverse development stacks within Openclaw Skills.
- Granular per-execution configuration overrides for timeout and memory constraints.
- Comprehensive execution history tracking for auditing agent behavior.
- Automated process and filesystem cleanup to prevent resource leakage.
- Planned roadmap features including Docker containerization and network isolation for enhanced security.
SKILL.md
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