# Nature Statistics

Audit or improve manuscript statistical reporting, including experimental units...

- Repository: https://github.com/Yuan1z0825/nature-skills (51695 stars)
- Category: Testing
- License: Apache-2.0
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add Yuan1z0825/nature-skills --skill nature-statistics -g -a claude-code -y`
Codex: `npx skills add Yuan1z0825/nature-skills --skill nature-statistics -g -a codex -y`
Cursor: `npx skills add Yuan1z0825/nature-skills --skill nature-statistics -g -a cursor -y`
Gemini CLI: `npx skills add Yuan1z0825/nature-skills --skill nature-statistics -g -a gemini-cli -y`

## Description

Audit or improve manuscript statistical reporting, including experimental units, replication, uncertainty, tests, and figure statistics. Use for 统计审查、统计方法小节、图注统计 and reviewer concerns; compute new analyses only when requested with data.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Nature Statistics Reporting Skill

Use this skill to make manuscript statistics transparent, reproducible, and appropriately bounded. It is a reporting and review skill, not a substitute for a statistician reanalysing raw data unless the user supplies the data and explicitly asks for computation.

## Default stance

- Prioritize design transparency over decorative statistical language.
- Separate three questions: what was measured, what unit was analysed, and what inference was claimed.
- Treat the independent experimental unit as the default `n`; do not silently treat cells, fields of view, repeated readings, spectra, model runs, or technical replicates as independent biological or experimental samples.
- Prefer effect sizes, uncertainty intervals, sample sizes, and exact test definitions over significance-only phrasing.
- State missing information as `AUTHOR_INPUT_NEEDED` instead of inventing sample sizes, tests, software, corrections, exclusion rules, randomization, or blinding.
- If a journal-specific instruction, study-type guideline, or field standard conflicts with this skill, follow the more specific source and mark the source used.

## Accepted inputs

The skill may receive:

- a Statistical analysis / Methods subsection
- Results paragraphs containing test statistics or p values
- figure panels, legends, captions, or source-data notes
- reviewer comments about statistics
- author notes in Chinese or English
- tables of reported comparisons
- raw or summary data, only when the user wants a concrete reanalysis or figure-statistics check

If the input is partial, run a bounded audit and state which parts cannot be assessed.

## Workflow

The rest: https://github.com/Yuan1z0825/nature-skills/blob/HEAD/skills/nature-statistics/SKILL.md