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Nature Reviewer

  • 4.5k installs
  • 33.4k repo stars
  • Updated August 4, 2026
  • yuan1z0825/nature-skills

nature-reviewer is an agent skill that apply nature-reviewer agent skill workflows from documented skill.md guidance.

About

nature-reviewer is an agent skill from yuan1z0825/nature-skills that apply nature-reviewer agent skill workflows from documented skill.md guidance. # Nature 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 Developers invoke nature-reviewer during build/integrations work for ai & agent building tasks. The skill documents triggers, prerequisites, and step-by-step workflows grounded in SKILL.md. Compatible with Claude Code, Cursor, and Codex agent runtimes that load marketplace skills. Review the Security Audits panel on this listing before installing in production environments. Category AI & Agent Building with ai vertical focus supports repeatable agent-guided delivery.

  • Nature Reviewer Assessment Skill
  • Use this skill to simulate a `Nature`-style reviewer assessment package from the referee
  • This skill is for reviewer-style manuscript evaluation, not for drafting the authors'
  • response. If the user wants rebuttal writing, route to `nature-response`.
  • Ground the review only in the local source basis plus manuscript facts supplied by the user.

Nature Reviewer by the numbers

  • 4,490 all-time installs (skills.sh)
  • +929 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #172 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

nature-reviewer capabilities & compatibility

Capabilities
nature reviewer assessment skill · use this skill to simulate a `nature` style revi · this skill is for reviewer style manuscript eval · response. if the user wants rebuttal writing, ro · ground the review only in the local source basis
Use cases
orchestration
From the docs

What nature-reviewer says it does

Use this skill to simulate a `Nature`-style reviewer assessment package from the referee
SKILL.md
This skill is for reviewer-style manuscript evaluation, not for drafting the authors'
SKILL.md
response. If the user wants rebuttal writing, route to `nature-response`.
SKILL.md
npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-reviewer

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Listed on Skillselion
Installs4.5k
repo stars33.4k
Security audit3 / 3 scanners passed
Last updatedAugust 4, 2026
Repositoryyuan1z0825/nature-skills

What it does

Apply nature-reviewer agent skill workflows from documented SKILL.md guidance.

Who is it for?

Developers working on ai & agent building during build tasks.

Skip if: Tasks outside AI & Agent Building scope described in SKILL.md.

When should I use this skill?

Apply nature-reviewer agent skill workflows from documented SKILL.md guidance.

What you get

Completed ai & agent building workflow aligned with SKILL.md steps.

  • reviewer reports
  • cross-review synthesis

By the numbers

  • Returns 3 reviewer reports plus 1 cross-review synthesis

Files

SKILL.mdMarkdownGitHub ↗

Nature 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, and readability for nonspecialists.
  • Return exactly 3 reviewer reports + 1 cross-review synthesis unless the user explicitly asks for another structure.
  • The three reviewers may differ only in emphasis; do not invent reviewer identities, specialties, institutions, or biographies.
  • Identify who would be interested in the results and why.
  • Identify technical failings that must be addressed before the authors' case is established.
  • Distinguish clearly between what is supported, what is weak, and what is not assessable from the provided material.
  • 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

1. Identify the input scope and whether the job is a reviewer-style assessment rather than rebuttal drafting. 2. Extract a shared manuscript fact base: main claim, visible evidence, claimed significance, likely readership, and visible limitations. 3. Check readiness and label missing evidence or missing sections instead of inventing them. 4. Assess the manuscript using the source-grounded axes. 5. Generate Reviewer 1, Reviewer 2, and Reviewer 3 using shared facts but different emphasis. 6. Generate a Cross-review synthesis that captures consensus and weighting differences. 7. Run QA for groundedness, coverage, role boundaries, and non-invention.

Output format

Unless the user asks for another format, return:

Review setup
- Input scope:
- Assessment boundary:
- Shared manuscript claim summary:
- Visible evidence base:
- Missing materials affecting confidence:

Reviewer 1
- Overall assessment:
- Who would be interested in the results, and why:
- Major strengths:
- Major concerns:
- Technical failings that need to be addressed before the case is established:
- Assessment against Nature-style criteria:
- Recommendation posture:

Reviewer 2
[Same structure]

Reviewer 3
[Same structure]

Cross-review synthesis
- Consensus strengths:
- Consensus technical risks:
- Where emphasis differs across reviewers:
- Broad-interest / significance readout:
- Most important issues to resolve before a strong Nature-style case is established:

Risk / unsupported claims
- [specific unsupported or not-assessable items]

Red lines

  • Do not invent reviewer identities, specialty roles, or selection history.
  • 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 Nature as a settled fact.
  • Do not omit technical failings when the provided evidence does not establish the authors' case.

Related files

FileOpen when
references/source-basis.mdYou need source provenance, local rule summaries, or source-vs-implementation boundaries
references/reviewer-workflow.mdYou need the invocation order, fact-base extraction flow, or synthesis rules
references/review-axes.mdYou need the evaluation axes or reviewer weighting logic
references/report-structure.mdYou need the default output contract or section anatomy
references/role-boundaries.mdYou need constraints on reviewer differences and editor-versus-reviewer boundaries
references/qa-checklist.mdYou are finalizing an output and need groundedness / non-invention checks
[references/editorial criteria and processes.md](references/editorial criteria and processes.md)You need the primary local Nature source text

Source hierarchy

Use sources in this order:

1. references/editorial criteria and processes.md 2. manuscript facts supplied by the user 3. conservative local implementation rules documented in references/source-basis.md

If a user asks for policy-level certainty beyond this local source, state the limit instead of improvising broader journal policy.

Related skills

Forks & variants (1)

Nature Reviewer has 1 known copy in the catalog totaling 1 installs. They canonicalize to this original listing.

How it compares

Use nature-reviewer for academic manuscript referee simulation; use code-review skills for pull request or implementation quality checks.

FAQ

What does nature-reviewer do?

Apply nature-reviewer agent skill workflows from documented SKILL.md guidance.

When should I use nature-reviewer?

During build integrations work for ai & agent building.

Is nature-reviewer safe to install?

Review the Security Audits panel on this listing before production use.

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