Agent skill

Nature Reviewer

by Tai609 in Tai609/NebulaMat

Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal.

Custom licenceAuto-check passedResearch & Science

Install Nature Reviewer

skills CLI
$ npx skills add Tai609/NebulaMat --skill nature-reviewer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Tai609/NebulaMat nature-reviewer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .claude/skills && cp -r skills-src/runtime/skills-bundle/nature-reviewer .claude/skills/nature-reviewer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
nature-reviewer
GitHub stars
100
Token cost
~2.9k tokens
SKILL.md length
1,207 words
Files
20 (incl. references)
Skills in repo
15
Repo updated
First seen
Licence
Custom licence

At a glance

Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal.

  • Works in 9 steps: Identify the input scope and whether the… → Build one immutable review packet… → Define the reviewer count and emphasis… → …
  • Reviewer reports
  • SKILL.md covers Default stance, Accepted inputs, Workflow and Output format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Nature Reviewer is an agent skill from Tai609/NebulaMat. Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal. Use for reviewer reports, mock peer review, manuscript critique, novelty/significance/technical-soundness assessment, 审稿人视角评估, 模拟审稿, 预审, 投稿前自审, 审稿意见模拟, or 帮我审一下论文. Produce evidence-grounded Major Concerns, Minor Comments, and blocking flags. For multiple reviewers, keep every reviewer mutually blind in a separate context, freeze all reports before comparison, and create any synthesis only afterward as…

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including reference files (for example `README.md`, `README_EN.md` and `agents/openai.yaml`).

It sits in Research & Science, covering Peer review. The repository describes itself as: NebulaMat scientific materials research workbench.

When your agent uses it

  • Reviewer reports
  • Mock peer review
  • Manuscript critique
  • Novelty/significance/technical-soundness assessment

Example prompts

  • “/nature-reviewer”

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Identify the input scope and whether the job is a reviewer-style assessment rather than rebuttal drafting.
  2. Build one immutable review packet containing only the supplied manuscript, verified source anchors, assessment boundary, and common…
  3. Define the reviewer count and emphasis briefs before launching any reviewer.
  4. Launch each reviewer in an isolated context. Pass only the immutable review packet, that reviewer's emphasis brief, the common report…
  5. Inside each isolated review, independently assess readiness and the source-grounded axes, then build that reviewer's own concern ledger…
  6. Finalize and freeze every reviewer report. Do not show a completed or partial report to another reviewer, and do not redistribute concerns…
  7. Only after all reports are frozen, compare them in a separate synthesis pass. Reconcile independently created concerns to shared synthesis…
  8. Generate Cross-review synthesis (post-review; not shown to reviewers) with consensus blocking concerns, other major concerns, the…
  9. Run QA for reviewer isolation, severity calibration, blocking calibration, evidence anchoring, groundedness, coverage, role boundaries…

What it can do on your machine

Read from SKILL.md and the folder at commit c906ed5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nature Reviewer loads about 2.9k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 1,207 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~144
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~16k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,207 words (~2,921 tokens).

“Use this skill to simulate a Nature-style reviewer assessment package from the referee side.”

— opening of SKILL.md by Tai609, Custom licence
name
nature-reviewer

Read the full SKILL.md on GitHub

Files

SKILL.md and 19 other files (references) in runtime/skills-bundle/nature-reviewer of Tai609/NebulaMat.

  • SKILL.md
  • .nebulamat-managed
  • README.md
  • README_EN.md
  • agents/openai.yaml
  • manifest.yaml
  • references/domain-specific-review-gates.md
  • references/editorial criteria and processes.md
  • references/qa-checklist.md
  • references/report-structure.md
  • references/review-axes.md
  • references/reviewer-workflow.md
  • references/role-boundaries.md
  • references/source-basis.md
  • references/technical-concern-taxonomy.md
  • tests/punctuation-style.md
  • tests/reviewer-independence.md
  • tests/severity-tiering.md
  • … and 2 more

Open the folder on GitHubat commit c906ed5

Compare with similar skills

Nature Reviewer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Nature Reviewer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nature Reviewer this skillTai609/NebulaMat100—~2.9kAutomated safety check: PassCustom licence
Peer Reviewspacering-net/codeg3.9k17 repos~5.9kAutomated safety check: NotesMIT
Scholar Evaluationspacering-net/codeg3.9k11 repos~3.2kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Academic Paper ReviewerImbad0202/academic-research-skills51k—~11kAutomated safety check: PassCustom licence
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT

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  • Peer Review

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  • Scholar Evaluation

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  • Academic Paper Reviewer

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Questions about Nature Reviewer

What does Nature Reviewer do?

Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal. Nature Reviewer is an agent skill from Tai609/NebulaMat. Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal.

When should I use Nature Reviewer?

Nature Reviewer fits situations like: reviewer reports; mock peer review; manuscript critique; novelty/significance/technical-soundness assessment.

How do I install Nature Reviewer in Claude Code?

Run `npx skills add Tai609/NebulaMat --skill nature-reviewer -a claude-code`. Or copy the skill folder (runtime/skills-bundle/nature-reviewer in Tai609/NebulaMat) into .claude/skills/nature-reviewer in your project. Claude Code loads it when a task matches its description.

How do I install Nature Reviewer in Codex?

Run `npx skills add Tai609/NebulaMat --skill nature-reviewer -a codex`. Or copy the skill folder (runtime/skills-bundle/nature-reviewer in Tai609/NebulaMat) into .agents/skills/nature-reviewer in your project. Codex loads it when a task matches its description.

Can I use Nature Reviewer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Tai609/NebulaMat --skill nature-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-reviewer, .gemini/skills/nature-reviewer, .github/skills/nature-reviewer and .opencode/skills/nature-reviewer in your project.

What does Nature Reviewer need to run?

SKILL.md names no scripts, command-line tools or credentials: Nature Reviewer is instructions for the agent only.

Does Nature Reviewer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Nature Reviewer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Nature Reviewer use?

Nature Reviewer has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Nature Reviewer use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.

What are the alternatives to Nature Reviewer?

Skills that share tags, products or a category with Nature Reviewer: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nature Reviewer?

Tai609 (a GitHub user) maintains it in Tai609/NebulaMat, which has 100 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 6, 2026.

Source: Tai609/NebulaMat on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.