About nature-reviewer
nature-reviewer is a manuscript-review skill for authors preparing a submission. It grounds independent reviewer reports and a synthesis in supplied evidence, while marking unsupported or unavailable material as not assessable.
Key features
- 01Three independent reviewer reports and synthesis
- 02Assess originality and scientific importance
- 03Check soundness and reproducibility
- 04Track evidence-linked concerns
- 05Run coverage and groundedness checks
Use cases
- 01Review a manuscript before submission
- 02Separate evidence from author claims
- 03Identify concerns and resolution tests
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ mubuky/ nature-skills --skill nature-reviewerAfter installing, type/nature-reviewerin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
manifest.yamlREADME_EN.mdREADME.mdagents/openai.yamlreferences/domain-specific-review-gates.mdeditorial criteria and processes.mdqa-checklist.mdreport-structure.mdreview-axes.mdreviewer-workflow.mdrole-boundaries.mdsource-basis.mdtechnical-concern-taxonomy.mdtests/traceable-review.mdDetails
From the project READMENature Reviewer
Assess a manuscript before submission. Use nature-response after a real editor
decision or reviewer report.
Contract
Default to three reviewer reports with different emphases plus one synthesis; follow another requested count or structure when it preserves independent assessment and synthesis.
Evaluate:
- originality;
- scientific importance;
- interdisciplinary readership;
- technical soundness and reproducibility;
- readability for non-specialists.
Read manifest.yaml. Load the current local source basis and only the workflow, axes, domain gates, structure, role, or QA references needed at the current stage.
Workflow
- Establish source coverage and extract one shared manuscript fact base.
- Separate author claims, visible evidence, limitations, external checks, and facts not assessable from the supplied material.
- Build a concern ledger. Each substantive concern needs a stable ID, claim pointer, evidence pointer, severity, and resolution test.
- Draft reviewers from the same facts with different emphases, not invented identities or biographies.
- Synthesize consensus only when multiple reports raise the same underlying concern; preserve legitimate weighting differences.
- Run groundedness, coverage, issue-key consistency, synthesis, role-boundary, and non-invention QA.
Boundaries
- Missing material means
not assessable, not proof that the authors omitted the work. - Do not invent experiments, controls, citations, figure panels, line numbers, reviewer identities, institutions, specialties, or selection history.
- Do not infer field novelty solely from the manuscript's related work.
- Do not make the editor's final decision or guarantee fit to Nature.
- The bundled editorial criteria are a local snapshot. Verify current official policy when the user needs policy-level certainty, or state the limitation.
Completion
Finish when every substantive concern is evidence-anchored, unsupported and not-assessable claims are labelled, repeated concerns share stable issue keys, and the synthesis distinguishes supported consensus from differences in emphasis.