nature-reviewer

Generate three mutually blind Nature-style pre-submission reviewer reports with tiered concerns and synthesis.

Updated Aug 26, 2026
One-click install
npx skills add https://github.com/Yjj0333/skills-manager-backup --skill nature-reviewer-yjj0333
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nature-reviewer
Source: https://github.com/Yjj0333/skills-manager-backup/tree/main/nature-reviewer
Command: npx skills add https://github.com/Yjj0333/skills-manager-backup --skill nature-reviewer-yjj0333

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Authors submitting to high-impact journals often cannot anticipate how referees will attack novelty, significance, technical soundness, or readability before submission. This Skill simulates a Nature-style peer review from the referee perspective so authors can find and fix weaknesses early. ## Core Features & Use Cases - Mutually blind multi-reviewer simulation: Produces three independent reviewer reports in isolated contexts, then generates a cross-review synthesis only after all reports are frozen. - Evidence-grounded tiered concerns: Separates Major Concerns and Minor Comments with stable IDs, claim pointers, evidence pointers, blocking flags, and resolution tests, without inventing issues to fill quotas. - Domain-aware technical checks: Applies a 12-axis internal concern taxonomy plus domain gates for chemistry, engineering, materials, atmospheric science, climate ecology, hydrology, and remote sensing. - Use Case: Before submitting a manuscript, paste the abstract, introduction, and figure legends to receive three reviewer-style reports plus a synthesis listing consensus blocking concerns and a deduplicated minor-revision checklist. ## Quick Start Use the nature-reviewer skill to review my attached manuscript like a Nature referee and give me three reviewer reports plus a synthesis.

Frequently Asked Questions about nature-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I simulate peer review before submitting to Nature?▼

Provide your manuscript, abstract, key sections, or figure legends and request a Nature-style review. The skill generates three mutually blind reviewer reports against originality, scientific importance, interdisciplinary readership, technical soundness, and readability, followed by a cross-review synthesis.

What does a Nature-style reviewer report from this skill contain?▼

Each report includes an overall assessment, interested readership analysis, major strengths, tiered Major Concerns and Minor Comments with stable IDs, claim pointers, evidence pointers, blocking flags, and resolution tests. A separate synthesis consolidates consensus concerns and reviewer differences.

Can this skill write a rebuttal or response to reviewers?▼

No, it only simulates the referee side of pre-submission review and explicitly refuses to draft author rebuttals. For turning real reviewer comments into a response package, use the companion nature-response skill instead.

Does the mock review work if I only have an abstract or partial manuscript?▼

Yes, it performs a bounded review on partial material and explicitly marks the assessment boundary. Missing evidence is flagged as not assessable rather than invented, and unsupported claims are listed in a dedicated risk section.

Why are the three simulated reviewers kept mutually blind?▼

Mutual blindness prevents reviewers from reading, citing, or responding to one another, so overlap in their reports reflects genuine independent consensus. Reports are frozen before any comparison, and synthesis is generated only afterward in a separate pass.

What are the limitations of a simulated Nature review?▼

It cannot make or predict editorial decisions, invent reviewer identities or expertise, or guarantee journal fit. It grounds every concern only in the supplied material and its local source rules, marking anything unverifiable instead of fabricating details.