E2B — Sandboxed Code Execution

What it does

E2B documents how to use a lightweight sandbox platform that boots fast and runs AI-generated code in isolated VMs. The skill explains core usage patterns: creating sandboxes, executing Python/JS, installing packages on-demand, performing file I/O, and retrieving binary artifacts (charts/images) as base64. It demonstrates practical code snippets and integration examples so agents can run computations, produce visual outputs, and interact with filesystem-backed inputs.

When to use it

Use E2B when you need safe, reproducible execution of code produced by an AI agent: generating charts, running data processing jobs, testing scripts, or executing untrusted code in isolation. Ideal for developer tools, code-interpreter flows, and agent-based automation that requires short-lived compute environments.

What's included

• Scripts: none bundled (has_scripts=false)
• References: none bundled (has_references=false)
• Instructions: code examples in TypeScript and guidance on timeouts, package management, networking, and best practices are provided in the SKILL body.

Compatible agents

Designed to be used with agent frameworks that permit code execution tools (LangChain, Claude Code, Cursor, and other code-execution enabled agents). The README-style examples make it straightforward to wire E2B as a callable tool in agent workflows.