nature-reviewer

Generates three Nature-style reviewer reports and a cross-review synthesis from manuscript materials.

2|Updated Jun 18, 2026
One-click install
npx skills add https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin --skill nature-reviewer-alexendersokolov
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nature-reviewer
Source: https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin/tree/main/plugins/deepscientist-lite-academic/skills/nature-reviewer
Command: npx skills add https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin --skill nature-reviewer-alexendersokolov

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 judge novelty, significance, and technical soundness before submission. This Skill simulates a Nature-style pre-submission review from the referee perspective, surfacing unsupported claims, technical failings, and readability barriers while there is still time to fix them. ## Core Features & Use Cases - Three Reviewer Reports Plus Synthesis: Produces three peer-review style reports differing only in emphasis (technical soundness, originality/significance, interdisciplinary readership) plus a cross-review synthesis that flags consensus issues only when at least two reviewers raise them. - Evidence-Anchored Concerns: Every substantive concern carries a stable ID, a claim pointer, an evidence pointer, and a resolution test, with explicit markers like "Not assessable from provided material" instead of invented details. - Domain-Specific Gates: Applies claim-dependent stress tests for chemistry, engineering, materials, atmospheric science, climate ecology, hydrology, and remote sensing manuscripts. - Use Case: Before submitting a manuscript, paste the abstract, introduction, and figure legends and ask for a Nature reviewer assessment; receive three reports identifying the technical failings most likely to block the authors' case. ## Quick Start Use the nature-reviewer skill to review my attached manuscript draft and figure legends like a Nature referee, returning three reviewer reports and a cross-review synthesis.

Frequently Asked Questions about nature-reviewer

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

FAQPage Schema
How do I get a Nature-style peer review of my manuscript before submission?▼

Provide the manuscript draft, abstract, key sections, or figure legends and request a reviewer-style assessment. The skill returns three reviewer reports with different emphases plus a cross-review synthesis identifying consensus technical risks and significance concerns.

What criteria does a Nature reviewer simulation evaluate?▼

It evaluates five source-grounded axes: originality, scientific importance, interdisciplinary readership interest, technical soundness, and readability for nonspecialists. A 12-axis technical concern taxonomy is used internally as a coverage checklist but never replaces the five core axes.

Can this skill write a rebuttal to reviewer comments?▼

No, it stays strictly in reviewer-assessment mode and does not draft author responses. For turning real reviewer comments into a response package, use the companion nature-response skill instead.

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

Yes, it performs a bounded review on partial inputs such as abstracts, excerpts, or figure legends. It explicitly marks the assessment boundary and labels items as not assessable rather than inventing missing evidence.

Why does the review say a concern is not assessable from provided material?▼

The skill follows strict non-invention rules: it never fabricates experiments, controls, citations, figure details, or manuscript locations. When evidence is missing, it flags the gap with markers like AUTHOR_INPUT_NEEDED instead of guessing.