sandbox-sdk

Execute untrusted code in secure, isolated sandbox environments.

3|Updated Jul 5, 2021

Search Tags:#api #sdk #cloudflare #examples #sandbox #code-interpreter #secure-execution

Ready to run

npx skills add https://github.com/iAziz786/dotfiles --skill sandbox-sdk-iaziz786

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sandbox-sdk
Source: https://github.com/iAziz786/dotfiles/tree/main/.agents/skills/sandbox-sdk
Command: npx skills add https://github.com/iAziz786/dotfiles --skill sandbox-sdk-iaziz786

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Build secure, isolated code execution environments for untrusted code across AI, development, and CI/CD workflows.

Core Features & Use Cases

Create and manage sandboxed environments with getSandbox, exec, runCode, and file operations.
Supports language contexts (python, javascript, typescript), code interpretation, file operations, port exposure, and lifecycle management.
Use cases include AI code execution, integration with OpenAI agents, CI pipelines, and secure testing in development environments.

Quick Start

Install the Sandbox SDK, configure a Durable Object binding, and start a sandbox by calling getSandbox, then runCode or exec for tasks.

Frequently Asked Questions about sandbox-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I execute untrusted code securely in a sandboxed environment?▼

Secure sandboxed code execution isolates untrusted code by creating managed environments using getSandbox and exec. You can safely run arbitrary code for AI agents or CI pipelines without risking the host system, applying language contexts like Python or JavaScript.

What is the best way to run an AI code interpreter in Cloudflare?▼

The best way to run an AI code interpreter on Cloudflare is using a Sandbox SDK with a Durable Object binding. Call getSandbox to start an isolated environment, then use runCode to execute interpreter logic for OpenAI agents.

Can I use a sandbox SDK with OpenAI agents for code execution?▼

Yes, you can use a sandbox SDK with OpenAI agents for code execution. The SDK provides isolated environments that manage language contexts, file operations, and lifecycle events, allowing agents to securely execute Python or JavaScript tasks.

How do I set up a sandbox SDK for CI/CD workflows?▼

To set up a sandbox SDK for CI/CD workflows, install the SDK, configure a Durable Object binding, and call getSandbox to provision an isolated environment. You can then use exec or runCode to securely execute testing scripts.

Does secure code execution support file operations and port exposure?▼

Yes, secure code execution supports file operations and port exposure. Sandboxed environments manage full lifecycle events, allowing you to handle file read/write tasks and expose ports for integration within your development or AI workflows.