# Scientific Writing

Draft, revise, and audit scientific manuscripts or reports with explicit evidence...

- Repository: https://github.com/K-Dense-AI/claude-scientific-writer (2545 stars)
- Category: Data and ML
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add K-Dense-AI/claude-scientific-writer --skill scientific-writing -g -a claude-code -y`
Codex: `npx skills add K-Dense-AI/claude-scientific-writer --skill scientific-writing -g -a codex -y`
Cursor: `npx skills add K-Dense-AI/claude-scientific-writer --skill scientific-writing -g -a cursor -y`
Gemini CLI: `npx skills add K-Dense-AI/claude-scientific-writer --skill scientific-writing -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add K-Dense-AI/claude-scientific-writer`

## Description

Draft, revise, and audit scientific manuscripts or reports with explicit evidence provenance, reporting-guideline coverage, authorship accountability, confidentiality controls, and local consistency checks. Use for manuscript sections, references, declarations, tables, figures, or submission preparation when scientific accuracy and traceability matter.

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

# Scientific Writing

## Purpose

Produce clear scientific prose without inventing evidence or concealing uncertainty.
Keep drafting, evidence verification, and submission approval as separate stages.

The accountable human authors control scientific decisions and final approval. AI is
not an author, and generated fluency is never evidence [SW-S01, SW-S03].

## Non-negotiable safety rules

### Confidentiality

Do not send unpublished manuscripts, peer-review or editorial material, sensitive or
restricted data, PHI or other personal data, proprietary content, or source documents
to an external service without:

1. explicit authorization from a person or body empowered to grant it; and
2. a documented review of journal, institutional, funder, consent, ethics, contractual,
   legal, and data-use policy.

When authorization or policy is unclear, keep processing local and use only the minimum
metadata needed. De-identification requires expert review; removing obvious names is
not sufficient. See `references/authorship_ai_confidentiality.md`.

### No fabrication

Never invent or complete:

- citations, references, DOI, PMID, PMCID, ISBN, URLs, or quotations;
- results, data values, denominators, sample sizes, units, effect estimates,
  uncertainty, statistical tests, or significance claims;
- methods, materials, protocol details, software versions, analysis choices, or
  deviations;
- registrations, approvals, consent, ethics statements, participant details, or dates;
- authors, author order, CRediT roles, acknowledgments, or permissions;
- funding, sponsor roles, conflicts, data or code availability, or AI disclosures.

Use an explicit missing, unverified, or not-applicable state. Do not substitute plausible
boilerplate.

### Evidence binding

Every factual or numeric manuscript claim must map to verified evidence IDs. A human
verifier must open the source, confirm the proposition and locator, verify bibliographic
metadata, and record who verified it and when.

The rest: https://github.com/K-Dense-AI/claude-scientific-writer/blob/HEAD/.claude/skills/scientific-writing/SKILL.md