scientific-writing
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.
npx skills add K-Dense-AI/claude-scientific-writer --skill scientific-writing --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ## Non-negotiable safety rules ### Confidentiality Do not send unpublished manuscripts, peer-review or editorial material, sensitive or restricted data, PHI or other personal data, proprietary content, or source documents to an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, sampl
- Purpose
- Non-negotiable safety rules
- Confidentiality
- No fabrication
- Evidence binding
- Scientific fidelity
- Intake
- Workflow
- 1. Establish the local workspace
- 2. Select reporting guidance
- 3. Build the evidence record
- 4. Create an evidence outline
- 5. Draft without adding facts
- 6. Reconcile methods and results
python3 scripts/scaffold_manuscript.py \ python3 scripts/select_reporting_guidelines.py select \ python3 scripts/check_consistency.py consistency_manifest.json python3 scripts/validate_manifest.py source_manifest.json \ python3 scripts/audit_claims.py manuscript.md claims.csv source_manifest.json python3 scripts/check_references.py source_manifest.json python3 scripts/validate_authorship.py authorship.json python3 scripts/select_reporting_guidelines.py check reporting_coverage.json python3 scripts/validate_manifest.py manuscript_manifest.json --kind manuscript python3 scripts/lint_manuscript.py manuscript.md \
What does the scientific-writing skill do?
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.
How do I install it?
Run `npx skills add K-Dense-AI/claude-scientific-writer --skill scientific-writing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From K-Dense-AI/claude-scientific-writer, a repository with 2,169 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.