Individual skill

experiment-design

在采集或回放数据前设计观测、注入回收和模型对照实验,明确样本单位、随机化、夜次或观测场分组、功效与预注册判据。

skills/experiment-design/SKILL.md

Read pinned source

Source commit ac08bad03f26231f0ed8c8462929b28733cf729f

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Local scripts
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
331
Repository last updated
Oct 19, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# 实验设计 Experiment Design

## 天文用法

先按 [astronomy.md](astronomy.md) 明确源身份、夜次、观测场和选择效应。观测、注入回收、合成实验和影子运行各自使用相应设计;计划文件不代表设备已经执行。


在采集或回放数据前,明确实验单位、分组、随机化、样本量和分析计划。先检查混杂与伪重复,
再选择设计类型;分析方法不能补回设计中没有记录的独立信息。

样本量、随机化和 DOE 布局可用下列脚本计算。效应量、功效与设计假设应根据实际课题填写。

## 脚本(确定性工具,采集前直接生成方案)
Back to top