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nature-reviewer

nature-reviewer

github.com/mubukyDocuments136 installsUpdated 13w ago
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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

  1. 01Three independent reviewer reports and synthesis
  2. 02Assess originality and scientific importance
  3. 03Check soundness and reproducibility
  4. 04Track evidence-linked concerns
  5. 05Run coverage and groundedness checks

Use cases

  1. 01Review a manuscript before submission
  2. 02Separate evidence from author claims
  3. 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-reviewer

After installing, type/nature-reviewerin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

manifest.yaml
README_EN.md
README.md
agents/
openai.yaml
references/
domain-specific-review-gates.md
editorial criteria and processes.md
qa-checklist.md
report-structure.md
review-axes.md
reviewer-workflow.md
role-boundaries.md
source-basis.md
technical-concern-taxonomy.md
tests/
traceable-review.md

Details

From the project README

Nature 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

  1. Establish source coverage and extract one shared manuscript fact base.
  2. Separate author claims, visible evidence, limitations, external checks, and facts not assessable from the supplied material.
  3. Build a concern ledger. Each substantive concern needs a stable ID, claim pointer, evidence pointer, severity, and resolution test.
  4. Draft reviewers from the same facts with different emphases, not invented identities or biographies.
  5. Synthesize consensus only when multiple reports raise the same underlying concern; preserve legitimate weighting differences.
  6. 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.

Comments

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