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.
git 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/instructions/realnghon/data-scientist/copilot-instructions)<a href="https://agentmods.dev/instructions/realnghon/data-scientist/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/realnghon/data-scientist/copilot-instructions/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/instructions/realnghon/data-scientist/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/realnghon/data-scientist/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00373 | $0.00373 |
| Opus 5.5 | $0.00149 | $0.00149 |
| Sonnet 5.5 | $0.00075 | $0.00075 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
data-scientist copilot-instructions.md 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
GitHub Copilot — 项目指令：Data Scientist 工作流
本仓库发布 data-scientist 插件。当用户在 Copilot Chat 或 Workspace 中询问数据集、统计问题、制造分析，或涉及 .csv、.tsv、.xlsx、.parquet、.feather、.sqlite、.duckdb、.ipynb 或分析类 .py/.sql 文件时，应将其视为数据科学任务并遵循插件工作流，而非随意发挥。本文件是轻量指针，不重复工作流内容。
共享核心 — 回答前请阅读
- 工作流定义（三阶段流程、图表规则、按需加载映射）：
plugins/data-scientist/skills/analysis-workflow/SKILL.md - 分析提示词：
plugins/data-scientist/agents/ds-analyst.md（单一 agent，完成 数据接入+准备度 → 执行 → 报告 全流程） - 斜杠命令入口：
plugins/data-scientist/commands/—ds-profile、ds-plan、ds-analyze、ds-report - 参考文档：
plugins/data-scientist/skills/analysis-workflow/references/— 方法注册表、数据准备度、数据整形、图表目录、制造分析手册、报告标准、反模式
在单线程中按照 SKILL.md 和 ds-analyst.md 执行三阶段流程。请勿在此重复工作流或反模式内容；请阅读上述文件并遵循之。调用已测试的辅助函数时，引用格式为 ds_skill.<模块>.<函数>。
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 · 12 lines · 373 tokens per session scan A ae732f85a620
data-scientist copilot-instructions.md is an instructions file published in the GitHub repository realnghon/data-scientist (2 stars, last pushed 3mo ago), licensed MIT. It adds 373 tokens to every session, about $0.0015 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 2026-08-31.
Other instructions, from other repositories
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next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.