
Nature Reviewer Assessment
FreeSimulate peer review for scientific manuscripts.
Free · Opens the source repo
What Nature Reviewer Assessment does
The Nature Reviewer Assessment skill is designed to facilitate a structured and impartial peer review process for scientific manuscripts, emulating the standards of the prestigious journal Nature. This skill focuses on providing feedback from the perspective of a reviewer, rather than assisting authors in crafting rebuttals. It is particularly useful for researchers and academics who are preparing manuscripts for submission and want to gauge the potential reception of their work before it reaches the editorial board.
When utilizing this skill, users can input various components of their manuscript, including full drafts, abstracts, or specific sections. The skill evaluates the manuscript against established criteria such as originality, scientific importance, interdisciplinary readership, technical soundness, and readability for nonspecialists. Each review is conducted in isolation to ensure that the feedback from multiple reviewers remains blind, which is crucial for maintaining the integrity of the peer review process.
The output consists of three distinct reviewer reports, each highlighting Major Concerns and Minor Comments, along with a synthesis of the reviews. This structured approach allows users to identify critical issues that need addressing before submission and to understand the consensus among reviewers regarding the manuscript's strengths and weaknesses. The skill is grounded in the provided manuscript and does not invent concerns, ensuring that the feedback is relevant and actionable.
This skill is ideal for researchers, graduate students, and professionals in academia who are preparing manuscripts for submission to high-impact journals. It provides a rigorous assessment framework that can enhance the quality of submissions and increase the likelihood of acceptance by identifying potential pitfalls early in the review process.
When to use it
Use this skill when you need an objective evaluation of your scientific manuscript from a peer review perspective, especially before submitting to journals like Nature.
When not to use it
This skill is not suitable for drafting author rebuttals or for use in informal manuscript reviews that do not require rigorous standards.
What you can build with it
Pre-Submission Assessment
Before submitting your manuscript to a journal, use this skill to receive a structured peer review that identifies potential issues.
Multiple Reviewer Perspectives
Get three independent reviewer reports to understand different viewpoints and concerns regarding your manuscript.
Improving Manuscript Quality
Utilize the skill to enhance the quality of your manuscript by addressing Major Concerns highlighted in the reviews.
How to install Nature Reviewer Assessment
View source1. Install with the skills CLI
npx skills add yuan1z0825/nature-skills/nature-reviewer --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by yuan1z0825Nature Reviewer Assessment Skill
Use this skill to simulate a Nature-style reviewer assessment package from the referee
side.
This skill is for reviewer-style manuscript evaluation, not for drafting the authors'
response. If the user wants rebuttal writing, route to nature-response.
Default stance
- Ground the review only in the local source basis plus manuscript facts supplied by the user.
- Evaluate the manuscript against source-grounded axes:
originality,scientific importance,interdisciplinary readership,technical soundness, andreadability for nonspecialists. - Use the 12-axis technical concern taxonomy only as an internal coverage checklist; it supplements but never replaces the five source-grounded axes.
- Return exactly
3 mutually blind reviewer reports + 1 post-review synthesisunless the user explicitly asks for another structure. - Give every reviewer only the same immutable manuscript/source packet, the same journal criteria, and that reviewer's preassigned emphasis. Never provide another review, a shared concern ledger, a draft synthesis, or hints about what another reviewer noticed.
- Run each reviewer in a genuinely separate context, subagent, process, or invocation. If the environment cannot isolate contexts, generate one reviewer report per invocation or explicitly state that mutual blindness cannot be guaranteed; never present shared-context drafting as independent peer review.
- Define emphasis briefs before any report is generated. They are working lenses, not reviewer identities, specialties, institutions, or biographies.
- Freeze each individual report before comparing them. Natural duplication or disagreement is valid evidence of independent review and must not be edited away to manufacture diversity.
- Identify who would be interested in the results and why.
- Identify technical failings that must be addressed before the authors' case is established.
- Give every substantive concern a stable ID, a faithful
claim_pointer, and a verifiableevidence_pointer; mark missing locations instead of inventing them. - Separate user-visible concerns into
Major ConcernsandMinor Comments. Mark a Major ConcernBlocking Yesonly when the current manuscript cannot establish its central case until that concern is resolved; Minor Comments are never blocking. - Do not impose a concern quota. If no grounded concern exists at a level, state that explicitly instead of inventing one.
- Keep the critique intellectually sharp but professionally phrased; severity comes from impact on the manuscript's case, not from hostile wording.
- Avoid em dashes, en dashes, and colons as routine prose punctuation throughout reviewer reports and synthesis. Prefer a new sentence, comma, semicolon, parentheses, or a short heading followed by a new line. Retain ordinary hyphens in standard compound terms and stable IDs such as
R1-M1. Preserve punctuation in source-faithful titles, quotations, formulas, identifiers, URLs, times, and required machine-readable syntax when changing it would be inaccurate. - Distinguish clearly between what is supported, what is weak, and what is not assessable from the provided material.
- When the manuscript has a clear technical domain, use claim-dependent domain gates as supporting checks, but keep the output inside the same 3-reviewer
nature-reviewerstructure. - Do not claim the editor's final decision or certainty about fit to
Nature.
Accepted inputs
The skill may receive:
- full manuscript draft
- abstract, summary paragraph, or cover-summary style text
- introduction, results, discussion, or methods excerpts
- figure legends, selected figures, or result notes
- author notes in Chinese or English describing the claimed contribution
- pre-submission positioning notes
If the provided material is partial, perform a bounded review and mark the assessment boundary explicitly.
Workflow
- Identify the input scope and whether the job is a reviewer-style assessment rather than rebuttal drafting.
- Build one immutable review packet containing only the supplied manuscript, verified source anchors, assessment boundary, and common journal criteria. Do not add analytical conclusions or suspected concerns to this packet.
- Define the reviewer count and emphasis briefs before launching any reviewer.
- Launch each reviewer in an isolated context. Pass only the immutable review packet, that reviewer's emphasis brief, the common report skeleton, and the same grounding rules.
- Inside each isolated review, independently assess readiness and the source-grounded axes, then build that reviewer's own concern ledger using
references/technical-concern-taxonomy.md. If relevant, load only the applicable section ofreferences/domain-specific-review-gates.mdinside that same isolated context. - Finalize and freeze every reviewer report. Do not show a completed or partial report to another reviewer, and do not redistribute concerns to control overlap.
- Only after all reports are frozen, compare them in a separate synthesis pass. Reconcile independently created concerns to shared synthesis keys, and label consensus only when at least two reports independently raise the same underlying concern.
- Generate
Cross-review synthesis (post-review; not shown to reviewers)with consensus blocking concerns, other major concerns, the minor-revision checklist, and genuine differences in emphasis or judgment. - Run QA for reviewer isolation, severity calibration, blocking calibration, evidence anchoring, groundedness, coverage, role boundaries, and non-invention. Overlap is measured only after freezing and must never trigger retroactive rewriting of individual reports.
Output format
Unless the user asks for another format, return:
Review setup
- **Input scope** [value]
- **Assessment boundary** [value]
- **Shared manuscript claim summary** [value]
- **Visible evidence base** [value]
- **Missing materials affecting confidence** [value]
Reviewer 1
- **Overall assessment** [text]
- **Who would be interested in the results, and why** [text]
- **Major strengths** [text]
- **Major Concerns** [items]
- **Minor Comments** [items]
- **Technical failings that need to be addressed before the case is established** [IDs or summary]
- **Assessment against Nature-style criteria** [text]
- **Recommendation posture** [text]
For each Major Concern
- **Concern ID** R1-M1
- **Severity** Major
- **Blocking** Yes / No
- **Axis** [value]
- **Claim pointer** [value]
- **Evidence pointer** [value]
- **Concern** [text]
- **Why it matters** [text]
- **Resolution test** [text]
For each Minor Comment
- **Concern ID** R1-m1
- **Severity** Minor
- **Axis** [value]
- **Affected element** [value]
- **Evidence pointer** [value]
- **Issue** [text]
- **Required correction** [text]
Reviewer 2
[Same structure]
Reviewer 3
[Same structure]
Cross-review synthesis (post-review; not shown to reviewers)
- **Consensus strengths** [text]
- **Consensus blocking concerns** [items]
- **Other consensus major concerns** [items]
- **Where emphasis differs across reviewers** [text]
- **Minor revision checklist** [items]
- **Broad-interest / significance readout** [text]
- **Most important issues to resolve before a strong Nature-style case is established** [items]
Risk / unsupported claims
- [specific unsupported or not-assessable items]
Red lines
- Do not invent reviewer identities, specialty roles, or selection history.
- Do not let one reviewer read, cite, anticipate, agree with, or respond to another review.
- Do not build or distribute a shared concern ledger before individual reports are frozen.
- Do not rewrite independent reports after comparison merely to reduce duplication or create artificial disagreement.
- Do not call reports mutually blind when they were generated in a shared context without an explicit limitation notice.
- Do not use dash punctuation or colons as habitual sentence connectors when clearer punctuation, headings, or sentence boundaries work.
- Do not invent experiments, validations, controls, citations, figure details, line numbers, or prior-work distinctions not present in the input.
- Do not silently turn reviewer assessment into author rebuttal drafting.
- Do not present the review as an editorial decision letter.
- Do not state that the manuscript belongs in
Natureas a settled fact. - Do not omit technical failings when the provided evidence does not establish the authors' case.
- Do not create Major or Minor concerns merely to fill a quota or make reviewer reports look balanced.
- Do not downgrade a core evidence, validity, ethics, or integrity problem to Minor because it is easy to describe, and do not upgrade a local presentation issue merely to sound severe.
Related files
| File | Open when |
|---|---|
| references/source-basis.md | You need source provenance, local rule summaries, or source-vs-implementation boundaries |
| references/reviewer-workflow.md | You need the invocation order, fact-base extraction flow, or synthesis rules |
| references/review-axes.md | You need the evaluation axes or reviewer weighting logic |
| references/technical-concern-taxonomy.md | You need the internal 12-axis coverage check, concern ledger, or claim/evidence-pointer rules |
| references/domain-specific-review-gates.md | The manuscript has clear chemistry, engineering, materials, atmospheric, climate-ecology, hydrology, or remote-sensing evidence chains |
| references/report-structure.md | You need the default output contract or section anatomy |
| references/role-boundaries.md | You need constraints on reviewer differences and editor-versus-reviewer boundaries |
| references/qa-checklist.md | You are finalizing an output and need groundedness / non-invention checks |
| ../nature-shared/core/consistency-sweep.md | You are checking the manuscript against itself: headline counts that do not reconcile with the Methods, one metric at two precisions, a superlative contradicted by the paper's own table, overlapping error bars presented as an advantage, or internal summaries that disagree |
| references/editorial criteria and processes.md | You need the primary local Nature source text |
Source hierarchy
Use sources in this order:
references/editorial criteria and processes.md- manuscript facts supplied by the user
- conservative local implementation rules documented in
references/source-basis.md - domain-specific supporting gates in
references/domain-specific-review-gates.md
If a user asks for policy-level certainty beyond this local source, state the limit instead of improvising broader journal policy.
Frequently asked questions about Nature Reviewer Assessment
Similar skills
Scientific Problem Selection
Streamline your research problem selection process.
Nextflow Development
Run nf-core bioinformatics pipelines with ease.
Research Writing Pipeline
Streamline your scientific writing with structured proposal-first methodologies.
Nature Literature Downloader
Efficiently download academic literature from various sources.
Auto Research
Streamline your NeMo-RL experiments with automated workflows.
Earth2Studio Discover
Find the right models and data for climate tasks.
