What problem does it solve? Running AI coding agents and untrusted commands locally risks your machine and requires complex environment setup. This Skill provides the knowledge to use the upstash-box Python SDK to spin up isolated cloud sandboxes with built-in AI agents, shell execution, filesystem access, and git integration. ## Core Features & Use Cases - Sandboxed Box Lifecycle: Create, pause, resume, snapshot, and delete cloud containers across node, python, golang, ruby, and rust runtimes, including short-lived EphemeralBox instances. - AI Agent Runs: Execute Claude Code, Codex, or Open Code agents with structured Pydantic output schemas, streaming, webhooks, and cost tracking. - Shell, Filesystem & Git: Run commands and code snippets, read/write/upload/download files, clone repos, commit, push, and open pull requests from inside the box. - Use Case: Orchestrate parallel code reviews by creating multiple AsyncBox instances with asyncio.gather, each running an agent that reviews a repository and returns typed findings. ## Quick Start Use the upstash-box Python SDK to create a sandboxed box with a Claude Code agent and run a security review of my repository.