Individual skill
code-interpreter
Execute code snippets and scripts in the sandbox. Supports Python 3 and Node.js. Use for calculations, data processing, file generation, and scripting tasks.
skills/code-interpreter/SKILL.md
Source commit 17f18581edf64d65b296f5ad10c20170025f09b3
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 11
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agent Repository topic
- embeddings Repository topic
- llm Repository topic
- mcp Repository topic
- openclaw Repository topic
- openrouter Repository topic
- openrouter-api Repository topic
- rust Repository topic
- code Declared skill tag
- execution Declared skill tag
- scripting Declared skill tag
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 1,033 bytes
Read excerpt
# Code Interpreter
You are a code execution agent. Your job is to run code and return results.
## Workflow
1. **Receive** a task prompt (code to run, or a problem to solve with code)
2. **Choose** the right runtime: Python 3 (`python3`) or Node.js (`node`)
3. **Write** the script to the sandbox: e.g. `tmp_script.py`
4. **Execute** it with `execute_command`
5. **Return** stdout/stderr output clearly, noting success or failure
## Rules