Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions.
Install Nature Response
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-response -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar nature-response --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nature-response .claude/skills/nature-response && rm -rf skills-srcUse ~/.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/
Install the "nature-response" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-response into .claude/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-responseType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-response -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar nature-response --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nature-response .agents/skills/nature-response && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nature-response" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-response into .agents/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-response -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar nature-response --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nature-response .cursor/skills/nature-response && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nature-response" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-response into .cursor/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Galaxy-Dawn/claude-scholar.git --path skills/nature-response--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-response -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar nature-response --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nature-response .gemini/skills/nature-response && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nature-response" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-response into .gemini/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Galaxy-Dawn/claude-scholar nature-responseInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-response -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nature-response .github/skills/nature-response && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nature-response" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-response into .github/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Galaxy-Dawn/claude-scholar --skill nature-response -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Galaxy-Dawn/claude-scholar nature-response --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nature-response .opencode/skills/nature-response && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nature-response" agent skill from https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/nature-response into .opencode/skills/nature-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-response", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
nature-response- GitHub stars
- 5.7k
- Used in
- 2 other repos
- Token cost
- ~1.7k tokens
- SKILL.md length
- 706 words
- Files
- 21 (incl. references)
- Skills in repo
- 34
- Repo updated
- First seen
- Licence
- MIT
At a glance
Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions.
- Works in 10 steps: Identify task mode and input readiness:… → Identify decision type: minor revision,… → Extract editor instructions first and… → …
- The user provides reviewer comments
- SKILL.md covers Default stance, Mined writing memory, Accepted inputs and Workflow, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Nature Response is an agent skill from Galaxy-Dawn/claude-scholar. Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions. Use when the user provides reviewer comments, editor decision letters, revision notes, response drafts, or asks how to respond to major/minor revision requests, rebuttal letters, response to reviewers, peer-review reports, 审稿意见回复, 逐点回复, 修回信, 大修回复, 小修回复, or 如何回复 reviewer.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including reference files (for example `README.md`, `examples/conflicting-reviewers.md` and `examples/major-revision-with-missing-evidence.md`).
It sits in Research & Science, covering Peer review and Study guides and flashcards. The repository describes itself as: Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding… The licence is MIT.
When your agent uses it
- The user provides reviewer comments
- Editor decision letters
- Response drafts
- Asks how to respond to major/minor revision requests
Example prompts
- “/nature-response”
Workflow steps
10 steps, taken from the first numbered list in SKILL.md.
- Identify task mode and input readiness: draft, audit, revise, triage-only, or appeal-like.
- Identify decision type: minor revision, major revision, revise-and-resubmit, transfer after review, or unclear.
- Extract editor instructions first and assign IDs such as E.1, then split reviewer comments with IDs such as R1.1, R1.2, and R2.1.
- Classify each item by category, severity, action label, missing input, readiness state, and risk.
- Create a response strategy summary before drafting prose.
- Draft responses using preserved reviewer comments unless the mode is triage-only or appeal-like.
- Map each claimed change to manuscript location, figure, table, supplement, citation, or explicit placeholder.
- Flag missing author input rather than fabricating details.
- Run QA for completeness, traceability, factuality, tone, and unresolved risk.
- Return the response package with package readiness: ready_to_submit, draft_with_placeholders, needs_author_input, or blocked.
What it can do on your machine
Read from SKILL.md and the folder at commit 9037873. 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 Response loads about 1.7k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 706 words of instructions outside code blocks.
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
The full file from Galaxy-Dawn/claude-scholar at commit 9037873, republished under its MIT licence (© Galaxy-Dawn). 706 words, ~1,713 tokens.
Download SKILL.mdSave it as
.claude/skills/nature-response/SKILL.md (or your agent's skills folder). This skill also uses 20 other files; get the full folder from GitHub.- name
- nature-response
- description
- Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions. Use when the user provides reviewer comments, editor decision letters, revision notes, response drafts, or asks how to respond to major/minor revision requests, rebuttal letters, response to reviewers, peer-review reports, 审稿意见回复, 逐点回复, 修回信, 大修回复, 小修回复, or 如何回复 reviewer.
- version
- 0.1.0
- status
- Beta
Nature Reviewer Response Skill
Use this skill to convert editor decision letters, reviewer comments, author notes, or draft rebuttals into an auditable point-by-point response package for manuscript revisions.
The response letter is an editor-facing verification document. The goal is to show that every reviewer concern has been understood, addressed, and mapped to a concrete manuscript change, justified scientific response, or unresolved author action.
Default stance
- Preserve each reviewer comment faithfully before responding.
- Every reviewer concern must be answered, cross-referenced, or explicitly marked as unresolved.
- Map every response to manuscript evidence, a revision location, a justified disagreement, or
AUTHOR_INPUT_NEEDED. - Do not invent experiments, analyses, citations, line numbers, figure panels, supplementary materials, editor instructions, reviewer identities, or manuscript changes.
- Prefer concise, evidence-linked replies over long defensive explanations.
- When disagreeing, acknowledge the concern first, then give a scientific or scope-based reason.
- When a reviewer misunderstood the manuscript, first consider whether the manuscript presentation caused the misunderstanding.
- Treat rebuttal letters as potentially public review artifacts; write with professional tone and traceability.
Mined writing memory
For response structure or tone, check the active installed
skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md
under the current client's skill home. Read only relevant rebuttal and venue
entries. Reviewer comments, manuscript changes, and journal instructions remain
the source of truth. Do not borrow claims or copy source phrasing. If the memory
is absent or has no relevant entries, continue with this skill's references.
Accepted inputs
The skill may receive:
- editor decision letter
- reviewer comments
- previous response draft
- manuscript change notes
- tracked-change summary
- line or page numbers
- figure, table, and supplement list
- author notes in Chinese or English
- journal name and article type
If reviewer boundaries or comment segmentation are ambiguous, flag the ambiguity instead of inventing reviewer structure.
Workflow
- Identify task mode and input readiness:
draft,audit,revise,triage-only, orappeal-like. - Identify decision type: minor revision, major revision, revise-and-resubmit, transfer after review, or unclear.
- Extract editor instructions first and assign IDs such as
E.1, then split reviewer comments with IDs such asR1.1,R1.2, andR2.1. - Classify each item by category, severity, action label, missing input, readiness state, and risk.
- Create a response strategy summary before drafting prose.
- Draft responses using preserved reviewer comments unless the mode is
triage-onlyorappeal-like. - Map each claimed change to manuscript location, figure, table, supplement, citation, or explicit placeholder.
- Flag missing author input rather than fabricating details.
- Run QA for completeness, traceability, factuality, tone, and unresolved risk.
- Return the response package with package readiness:
ready_to_submit,draft_with_placeholders,needs_author_input, orblocked.
Show full SKILL.md (286 more words)Show less
Output format
Unless the user asks for another format, return:
Response strategy summary
- Decision type:
- Overall posture:
- Major risks:
- Suggested ordering:
Comment-response tracker
| ID | Reviewer concern | Type | Severity | Proposed action | Missing author input |
|---|---|---|---|---|---|
Draft point-by-point response letter
[editor-readable English response]
Manuscript change checklist
- [specific manuscript changes or placeholders]
Missing information / risk flags
- [specific unresolved items or "None"]
中文核对
- [when the user writes in Chinese; otherwise omit unless useful]Red lines
- Do not ignore any reviewer comment.
- Do not rephrase reviewer comments in a way that changes their meaning.
- Do not claim a revision was made unless the user supplied it.
- Do not invent line numbers, figure panels, citations, statistical results, or supplementary items.
- Do not use hostile or accusatory language.
- Do not cite time, money, or convenience as the primary reason for not doing a requested experiment.
- Do not hide limitations.
- Do not generate an appeal letter as the default path. Route appeal-like cases separately.
- Do not generate a cover letter in the MVP. Mention it only as adjacent revision-package material when relevant.
Related files
| File | Open when |
|---|---|
| references/intake-and-routing.md | Before drafting, to identify task mode, minimum inputs, editor IDs, readiness state, and clarifying-question need |
| references/source-basis.md | You need source hierarchy, rule provenance, or policy-vs-advice boundaries |
| references/response-structure.md | You need the response package format or point-by-point letter anatomy |
| references/comment-taxonomy.md | You need to classify reviewer comments by category and severity |
| references/action-mapping.md | You need action labels, tracker fields, and missing-input states |
| references/tone-and-stance.md | You need recommended language, forbidden phrasing, or disagreement tone |
| references/chinese-author-alignment.md | The user writes in Chinese or provides Chinese author notes |
| references/difficult-cases.md | The comments involve impossible experiments, factual errors, conflicting reviewers, citations, statistics, compliance, transfer, or appeal-like cases |
| references/qa-checklist.md | Before finalizing an output or auditing a draft response |
Source hierarchy
Use sources in this order:
- Target journal instructions and the editor decision letter.
- Nature / Nature Portfolio / Springer Nature revision and peer-review process guidance.
- Springer Nature editorial advice on rebuttal letters.
- Local manuscript facts supplied by the author.
If a policy detail may have changed, verify the current journal page before giving final submission advice.
© Galaxy-Dawn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 20 other files (references) in skills/nature-response of Galaxy-Dawn/claude-scholar.
- SKILL.md
- README.md
- examples/conflicting-reviewers.md
- examples/major-revision-with-missing-evidence.md
- examples/minor-revision.md
- references/action-mapping.md
- references/chinese-author-alignment.md
- references/comment-taxonomy.md
- references/difficult-cases.md
- references/intake-and-routing.md
- references/qa-checklist.md
- references/response-structure.md
- references/source-basis.md
- references/tone-and-stance.md
- tests/conflicting-reviewers.md
- tests/defensive-draft-audit.md
- tests/evaluation-summary.md
- tests/impossible-experiment.md
- … and 3 more
Open the folder on GitHubat commit 9037873
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Galaxy-Dawn/claude-scholar, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Nature Response 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nature Response this skillGalaxy-Dawn/claude-scholar | 5.7k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Scholar Evaluationspacering-net/codeg | 3.9k | 11 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Academic Paper ReviewerImbad0202/academic-research-skills | 51k | — | ~11k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT |
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Categories
Questions about Nature Response
What does Nature Response do?
Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions. Nature Response is an agent skill from Galaxy-Dawn/claude-scholar. Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions.
When should I use Nature Response?
Nature Response fits situations like: the user provides reviewer comments; editor decision letters; response drafts; asks how to respond to major/minor revision requests.
How do I install Nature Response in Claude Code?
Run `npx skills add Galaxy-Dawn/claude-scholar --skill nature-response -a claude-code`. Or copy the skill folder (skills/nature-response in Galaxy-Dawn/claude-scholar) into .claude/skills/nature-response in your project. Claude Code loads it when a task matches its description.
How do I install Nature Response in Codex?
Run `npx skills add Galaxy-Dawn/claude-scholar --skill nature-response -a codex`. Or copy the skill folder (skills/nature-response in Galaxy-Dawn/claude-scholar) into .agents/skills/nature-response in your project. Codex loads it when a task matches its description.
Can I use Nature Response 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 Galaxy-Dawn/claude-scholar --skill nature-response -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-response, .gemini/skills/nature-response, .github/skills/nature-response and .opencode/skills/nature-response in your project.
What does Nature Response need to run?
SKILL.md names no scripts, command-line tools or credentials: Nature Response is instructions for the agent only.
Does Nature Response 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 Response 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 Response use?
Nature Response is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Nature Response use?
About 1.7k tokens (SKILL.md is roughly 6.9k 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 8.4k tokens, read only when the agent opens those files.
What are the alternatives to Nature Response?
Skills that share tags, products or a category with Nature Response: 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 Response?
Galaxy-Dawn (a GitHub user) maintains it in Galaxy-Dawn/claude-scholar, which has 5,725 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on September 23, 2026.
Source: Galaxy-Dawn/claude-scholar on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.