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 skills add wanmol/goal-flow --skill code_interpretergit clone --depth 1 https://github.com/wanmol/goal-flowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wanmol/goal-flow/code_interpreter)<a href="https://agentmods.dev/skills/wanmol/goal-flow/code_interpreter"><img src="https://agentmods.dev/badge/skills/wanmol/goal-flow/code_interpreter/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wanmol/goal-flow/code_interpreter"><img src="https://agentmods.dev/badge/skills/wanmol/goal-flow/code_interpreter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00042 | $0.00308 |
| Opus 5.5 | $0.00017 | $0.00123 |
| Sonnet 5.5 | $0.00008 | $0.00062 |
| Haiku 4.5 | $0.00004 | $0.00031 |
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 1mo ago.
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
通过远端 dify-sandbox 服务执行 Python 代码并返回 stdout。
适用场景：
- 数据分析与统计计算（pandas / numpy）
- 数值计算与复杂公式（涉及循环、条件、多步骤）
- 格式转换（JSON 解析、数据整理）
- 图表数据生成（只输出数据，不出图）
- 任何需要执行代码才能得出结果的任务
约束：
- 必须用
print()输出最终结果，否则看不到返回。 - 禁止使用绘图库（matplotlib / seaborn / plotly 等），如需图表请只输出数据由上层渲染。
- 无文件系统 / 网络持久化保证。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 39 lines · 42 tokens per session scan A 1ccd5ffd4cc2
code_interpreter is a skill published in the GitHub repository wanmol/goal-flow (141 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 308 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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