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-reportgit 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-report)<a href="https://agentmods.dev/commands/realnghon/data-scientist/ds-report"><img src="https://agentmods.dev/badge/commands/realnghon/data-scientist/ds-report.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 | $0.00314 |
| Opus 5 | $0.00014 | $0.00157 |
| Sonnet 5 | $0.00005 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
ds-report 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
生成分析报告
使用 data-scientist 报告流程，基于已完成的分析产物生成面向用户的报告。
示例：
/ds-report ./analysis_output/ds-report "从当前会话获取"/ds-report /path/to/evidence_matrix.json
执行要求
- 读取数据画像、就绪性报告、分析计划、执行输出以及可用的图表。
- 以数据实际支持的结论作为开篇。
- 按证据层级标注每项发现：可靠结论、方向性信号或无法支持（即
references/report-standard.md中定义的三级体系）。 - 解释实际量级，而非仅报告 p 值或模型得分。
- 明确陈述局限性和数据缺失情况。
预期输出
- 核心结论
- 数据与目标摘要
- 就绪评估与注意事项
- 关键发现
- 证据矩阵
- 图表/表格清单
- 后续建议行动
- 获得更强结论所需的数据补充
不要用修饰性语言掩盖证据薄弱的发现。
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 · 34 lines · 27 tokens per session scan A 8636c6cc3a91
ds-report 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 314 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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