Nature Reviewer Response — Router
SkillDev toolsThe nature response skill is a tool for AI agents that helps you draft, audit, or revise revision correspondence for journal submissions. It produces point-by-point response letters, rebuttal letters, revision cover letters, LaTeX templates, and red-marked revised-manuscript excerpts. It keeps mutually blind reviewers isolated so no reviewer-facing text leaks between them.
Use Nature Reviewer Response — Router in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Nature Reviewer Response skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Have the reviewer comments, your manuscript files, and any journal revision guidelines ready.
What your AI can do with it
- Draft point-by-point response letters with reviewer-separated sections
- Audit existing revision correspondence for gaps or inconsistencies
- Revise rebuttal letters and revision cover letters
- Generate LaTeX cover and response templates
- Produce red-marked revised-manuscript excerpts
- Keep mutually blind reviewers isolated in all outputs
Getting started
- Have the reviewer comments, your manuscript files, and any journal revision guidelines ready.
- Add the nature-response skill to your AI agent's available skills.
- Provide the reviewer comments and manuscript to the agent when you ask it to draft or revise correspondence.
- Review the generated letters and excerpts, then adjust wording or formatting as needed.
What this skill tells your AI
The instructions your AI receives, as published by yuan1z0825/nature-skills in skills/nature-response/SKILL.md and read by ahel’s review.
Routing protocol
For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it.
1. Load the manifest and the core layer
Read manifest.yaml. Then read every file listed under always_load:
static/core/stance.md— the editor-facing purpose, the default stance, the red lines, and the source hierarchy that apply to every response job.static/core/workflow.md— accepted inputs, the revision correspondence workflow, and the output package format.
2. No content axis — identify mode and language inline
Unlike nature-writing or nature-figure, nature-response has no fragment axis. Its variation is identified at runtime, not by loading different content bodies:
- task mode —
draft/audit/revise/triage-only/cover-letter/revision-package/latex-template/appeal-like. - decision type — minor revision, major revision, revise-and-resubmit, transfer after review, or unclear.
- user language — if the user writes Chinese, also produce the 中文核对 block.
Decision type is required for a new package-level revision strategy or complete response package.
First extract it from the editor letter or task context. If it remains unclear, ask whether this
is a Major Revision or Minor Revision and pause only decision-dependent work. A local wording
edit, audit of an existing reply, or comment-level triage may proceed with decision type marked
unknown. Do not infer the decision from the number, tone, or difficulty of reviewer comments.
Use references/intake-and-routing.md to fix the task mode, minimum inputs, and readiness state before drafting. Route appeal-like cases separately; do not draft an appeal as the default path.
For a local edit or bounded audit, return the revised passage or findings and relevant missing facts. Do not expand it into a master tracker, cover letter, or complete revision package unless requested. Apply the package workflow below only to the parts needed for the requested output.
3. Run the workflow
Follow the workflow in core/workflow.md: if the user pasted a journal email, first parse manuscript metadata, decision type, editor instructions, reviewer reports, required files, deadlines, and reviewer-visibility rules from the email; identify mode and pass the decision-type gate; apply the Major- or Minor-Revision strategy without downgrading the severity of individual comments; extract editor instructions (IDs E.1) then reviewer comments (R1.1, R2.1) when present; classify each item by response action and independently verified work status; build an internal/editor master strategy and tracker; draft a standalone privacy-filtered response for each mutually blind reviewer; when a reviewer missed material already present in the manuscript, treat that as a clarity signal and revise the presentation instead of replying that the point was already stated; draft a revision cover letter when required; map every claimed change to a manuscript location or explicit placeholder; mark changed manuscript text in red on a backed-up copy when editing; format quoted revised manuscript text in the response letter in italics; flag missing author input; run QA; and derive package readiness from the per-item statuses and blocking state.
Whenever a response proposes or performs a manuscript main-text edit, also load
../nature-shared/core/main-text-discipline.md. Answer the reviewer completely
in the letter, but keep the manuscript change to the shortest text needed for
the reader. Prefer replacement or compression over appending, and route
non-central robustness or reconciliation detail to SI unless it changes the
central interpretation.
Never invent experiments, citations, line numbers, figure panels, supplementary items, editor instructions, or manuscript changes. Mark anything the author must supply as AUTHOR_INPUT_NEEDED.
4. Reach for references only when needed
The files under references/ and templates/ are deep resources, not defaults. Open them on demand per the references.on_demand table in the manifest — for example references/comment-taxonomy.md to classify comments, references/action-mapping.md for tracker fields, references/tone-and-stance.md for disagreement wording, references/difficult-cases.md for impossible experiments / conflicting reviewers / appeal-like cases, references/chinese-author-alignment.md for Chinese author notes, references/latex-templates.md for .tex cover/response/redline outputs, ../nature-shared/core/main-text-discipline.md for reviewer-driven manuscript additions and evidence relocation, references/package-consistency-audit.md whenever the manuscript is edited alongside the letter or the package is about to be compiled and delivered, and references/qa-checklist.md before finalizing.
qa-checklist.md and package-consistency-audit.md are complementary and both apply to a final package: the first asks whether the response is complete, honest, and well-toned; the second asks whether the marked manuscript, the clean manuscript, and the letter actually agree with each other after editing. For a LaTeX package, run scripts/check_package_consistency.py after the first complete draft, after every manuscript edit, and immediately before delivery. Any manuscript edit invalidates the letter's verbatim quotes and page references, so re-run the audit rather than treating it as a one-time final check.
Signals
- GitHub stars
- 45k
- Forks
- 2k
- Last commit
- Sep 2026
ahel review
K6low
bundled executables the agent is told to run
Automated review, not a security audit. Ruleset v1+k2.
Questions
- What kinds of revision correspondence can it produce?
- It can draft, audit, or revise point-by-point response letters, rebuttal letters, revision cover letters, LaTeX cover and response templates, and red-marked revised-manuscript excerpts.
- Does it keep mutually blind reviewers isolated?
- Yes. It keeps mutually blind reviewers isolated so no reviewer-facing text leaks between them.
- Can it revise an existing response letter?
- Yes. It can audit or revise existing revision correspondence, including point-by-point response letters and rebuttal letters.
Advanced
- Item type
- skill
- Key
nature-response-yuan1z0825- Source
- github.com/yuan1z0825/nature-skills
github.com/yuan1z0825/nature-skills