Individual skill

science-experiment-runbook

Use when turning an approved plan into an actual run — when the design and sample size are settled and someone needs to produce data, execute code, or reproduce a result; when a run must be recordable (inputs, outputs, environment, seed) so that six months later the numbers in the paper can be traced back; when a result cannot be reproduced and the difference has to be explained rather than waved away; also use when deciding where raw data, analysis code and generated artifacts belong.

dsh-science/skills/science/science-experiment-runbook/SKILL.md

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# 从方案到一次可复现的执行

## 这一层要守住的三件事

1. **原始数据只进 `data/`，只读。**
   清洗结果放 `data/clean/`，分析产物放 `experiments/<slug>/<runId>/`。
   一旦在原始文件上直接改，你永远回不到采集当天的状态——而审稿人问的第一个问题往往就是那个状态。
2. **每次执行都要能被别人重跑。**
   `science_exp_run` 记的是：脚本内容指纹、输入文件 sha256、输出文件 sha256、
   Python 与关键库版本、seed、是否允许网络。缺任何一项，这次执行就只是"你跑过一次"。
3. **Python 层默认无网。**
   数据下载在采集阶段做完，分析阶段不该联网。要联网就显式 `network: true`，
   记录里会写明——这是给自己留的证据，不是给别人看的仪式。