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-profilegit 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-profile)<a href="https://agentmods.dev/commands/realnghon/data-scientist/ds-profile"><img src="https://agentmods.dev/badge/commands/realnghon/data-scientist/ds-profile.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 | $0.00027 | $0.00249 |
| Opus 5 | $0.00014 | $0.00125 |
| Sonnet 5 | $0.00005 | $0.00050 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
ds-profile 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
数据集画像
使用 data-scientist 数据摄入流程检查数据集，不做出业务结论。
示例：
/ds-profile data.csv/ds-profile sales.xlsx/ds-profile measurements.parquet
执行要求
- 识别文件类型、文件大小、工作表/表、列、行数以及样本记录。
- 对于支持的本地文件，使用
${CLAUDE_PLUGIN_ROOT}/skills/analysis-workflow/scripts/profile_dataset.py。 - 推断候选字段角色：目标变量、时间、实体 ID、分组、过程参数和结果标签。
- 标记可能阻碍后续分析的数据质量风险。
预期输出
data_manifestdata_profilefield_role_candidatesdata_risks- 读取数据源所需的任何问题
在本命令中不要运行统计检验或做出结论。
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 · 30 lines · 27 tokens per session scan A e88f56373d86
ds-profile is a command published in the GitHub repository realnghon/data-scientist (2 stars, last pushed 2mo ago), licensed MIT. It adds 27 tokens to every session and 249 once invoked, about $0.0001 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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