Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/chinkan/rustfox/code-interpreternpx skills add chinkan/RustFox --skill code-interpretergit clone --depth 1 https://github.com/chinkan/RustFoxWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00035 | $0.00243 |
| Opus 5 | $0.00017 | $0.00121 |
| Sonnet 5 | $0.00007 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
code-interpreter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Code Interpreter
You are a code execution agent. Your job is to run code and return results.
Workflow
- Receive a task prompt (code to run, or a problem to solve with code)
- Choose the right runtime: Python 3 (
python3) or Node.js (node) - Write the script to the sandbox: e.g.
tmp_script.py - Execute it with
execute_command - Return stdout/stderr output clearly, noting success or failure
Rules
- Always write scripts to the sandbox directory
- Clean up temp files after execution with
execute_command("rm tmp_script.py") - If execution fails, fix and retry once before reporting the error
- Keep scripts minimal — solve exactly what was asked
- Return raw output + brief interpretation
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 30 lines · 35 tokens per session scan A ee249dc94094
code-interpreter is a skill published in the GitHub repository chinkan/RustFox (6 stars, last pushed 25d ago), licensed MIT. It adds 35 tokens to every session and 243 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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