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.
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.
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.
E2B sandboxed code execution documentation skill. No bundled scripts — purely a knowledge/SKILL.md reference skill. Provides clear code examples for Python and JavaScript sandbox usage, installation instructions, and best practices. Well-written but lacks any executable automation or scripts/ directory.
Clean documentation skill with no security concerns. No scripts to audit. Frontmatter is well-structured but the skill could benefit from a references/ directory or example scripts to improve architecture score.
