“code execution and sandboxes”

Vercel Sandbox guidance — ephemeral Firecracker microVMs for running untrusted code safely.

Design, implement, or review workers, test runners, evaluators and plugin hosts that execute less-trusted commands or code.

Expert guidance on implementing and managing background tasks in modern Android applications (API 30+).

Transforms analytical outputs into concise, executive-ready communication from a Finance Business Partner perspective.

DEPRECATED — split into execution-core (boot) + execution-extras (routing/lessons).

Sandboxed Python execution for AI agents.

Help user prepare docker-compose under workspace compose/ when they ask.

Execute code safely using RLM Runtime with Docker isolation when you need to run tests, validate implementations, or execute complex computations.

A股算法执行/智能拆单策略。当用户说"算法执行"、"智能拆单"、"execution algo"、"算法交易"、"拆单策略"、"大单拆分"时触发。基于 cn-stock-data 获取数据，设计算法执行方案。支持 formal/brief 两种输出风格。

Task implementation workflow, test harnesses, screenshot/video capture, visual debugging.

Code Executor MCP Server by MEOK AI Labs

AutoForge is a production-grade autonomous optimization framework for AI agents.

Pipeline routing, classification, phase ownership, principles, lessons protocol.

Specialist execution protocol — shared by all specialists operating within the team

Slice a large idea, task, or plan into the smallest strong executable step.

Safety gate for task execution.

Internal meta skill for dispatching subagents, coordinating execution, and integrating reviewed results back into the main flow.

Subagent "performance-analyzer" from nrwl/nx: Use this agent during PR review to analyze the runtime performance of a PR's changes along two axes - (1)…

Execute and track progress on PLANS.md execution plans.

Converge AIDE's three parallel agent runtimes (legacy daemon model-manager chat + harness/orchestrator.mjs, arch-ts model-router/chat.ts + routes/agent.ts…

Run shell/CMD commands directly on the host system.

Execute behavior changes with a RED -> GREEN -> REFACTOR loop when a practical automated test path exists.

Convert an existing specification or plan into concrete execution tasks, ordered implementation steps, and verification actions.

Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.