Skill Detail

Run sandboxed multi-language code execution with Judge0

Use Judge0 when an agent workflow needs a self-hostable HTTP API for compiling and running untrusted or model-generated code across many languages with structured results.

Developer ToolsMulti-Framework
Developer Tools Multi-Framework Published
⭐ 4.4k GitHub stars
COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill run-sandboxed-multi-language-code-execution-with-judge0 Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
Judge0 CE or Judge0 Cloud, HTTP JSON API client, optional official Python SDK
Install & setup
Use the managed Judge0 API or follow the documented self-host deployment procedure, then submit code through the HTTP JSON /submissions API with explicit language, input, and resource-limit settings.
Author
Judge0
Publisher
Company
Last updated
Sep 16, 2026
Quick brief

Use Judge0 when an agent application needs to execute code without giving the agent direct shell access to the host. The operator submits source code, stdin, language IDs, compiler options, resource limits, and callbacks to a sandboxed execution API, then uses the structured output for grading, tutoring, code-eval, or product workflows. Invoke this instead of normal local execution when code is user-supplied, model-generated, multi-language, or needs repeatable isolation and auditability. The scope is a code execution service boundary for agent workflows, not a general online judge product card.

How it works

What this skill actually does

Inputs and prerequisites: Judge0 CE or Judge0 Cloud, HTTP JSON API client, optional official Python SDK.

Setup notes: Use the managed Judge0 API or follow the documented self-host deployment procedure, then submit code through the HTTP JSON /submissions API with explicit language, input, and resource-limit settings.

Source and verification boundary: use https://ce.judge0.com as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.

Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.