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 commands/realnghon/data-scientist/ds-plangit clone --depth 1 https://github.com/realnghon/data-scientistWrote 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/commands/realnghon/data-scientist/ds-plan)<a href="https://agentmods.dev/commands/realnghon/data-scientist/ds-plan"><img src="https://agentmods.dev/badge/commands/realnghon/data-scientist/ds-plan.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00035 | $0.00331 |
| Opus 5 | $0.00017 | $0.00166 |
| Sonnet 5 | $0.00007 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
ds-plan 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 4d 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
制定分析方案
使用 data-scientist 方法规划流程，将已画像的数据集和用户目标转化为可辩护的分析方案。
示例：
/ds-plan "比较实验组与对照组"/ds-plan "对转化驱动因素进行排序"/ds-plan "检测产出下降" yield_pct
执行要求
- 确认目标指标
Y、分析粒度以及允许的分析范围。 - 读取
${CLAUDE_PLUGIN_ROOT}/skills/analysis-workflow/references/method-registry.md、${CLAUDE_PLUGIN_ROOT}/skills/analysis-workflow/references/data-readiness.md以及相关的领域手册。 - 根据目的、数据类型、假设条件和业务实用性选择方法。
- 记录被拒绝的方法及其被拒绝的原因（较弱或无效）。
- 对重要结论纳入交叉验证。
预期输出
- 分析目的
- 选定的方法集
- 假设检验
- 被拒绝的方法
- 执行顺序
- 所需图表
- 仍需人工决策的事项
除非用户明确要求，否则不要执行该方案。
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.
- 4d ago First seen · 33 lines · 35 tokens per session scan A 080fccc57105
ds-plan is a command published in the GitHub repository realnghon/data-scientist (2 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 331 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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