What problem does it solve? Executing untrusted or LLM-generated code safely requires isolated environments, and setting up secure sandboxes with command execution, file operations, and code interpretation on Cloudflare Workers involves complex configuration that this Skill streamlines. ## Core Features & Use Cases - Sandboxed Command Execution: Run shell commands and scripts in isolated containers with stdout, stderr, and exit code capture via exec(). - Code Interpreter for AI: Execute LLM-generated Python, JavaScript, or TypeScript code with rich outputs and persistent state using runCode() and code contexts. - File and Port Management: Write, read, and list files in the sandbox, and expose HTTP services through preview URLs with exposePort(). - Use Case: Build an AI coding assistant that executes user-submitted Python data analysis scripts in isolated Cloudflare Workers containers, returning charts and results without risking your infrastructure. ## Quick Start Ask the AI to set up a Cloudflare Worker using the Sandbox SDK that runs Python code in an isolated sandbox and returns the execution results.