跨多个来源检索学术文献、核对引文并转换参考文献文件;可使用MeSH设计PubMed检索式,也可区分独立他引与自引,整理引用者及引用语境。
- 跨多个来源检索文献
- 核对文档中的引文信息
- 用MeSH设计PubMed检索式
起草、检查或修改逐点审稿回复、修订阶段的附信和带修改标记的稿件,将回复中的修改对应到正文位置,并检查回复信与修订文件是否一致。
Draft, audit, or revise responses to peer review, revision cover letters, and marked-manuscript or LaTeX revision packages. Use for 审稿意见回复、逐点回复、返修信、 rebuttals and edits to existing response drafts. Initial-submission materials belong to nature-writing; simulated peer review belongs to nature-reviewer.
实测评分 未实测
查看安装方法nature-response 用于起草、检查或修改同行评审后的回复信、修订附信和标示修改内容的稿件。它可以从编辑通知中整理决定、要求、期限和所需文件,并逐条管理审稿意见的回复和处理状态。回复中声称的修改会与稿件中的对应位置关联,同时检查回复信、带修改标记的稿件和修订稿是否一致。
需要汇总回复多位审稿人的意见,或检查现有回复草稿是否漏答、表述是否需要调整时,可以使用此技能。它既可处理单项回复,也可协助准备包含 LaTeX 文件的修订材料。
制定整套修订策略需要决定类型等信息,例如 Major Revision 或 Minor Revision。此技能不会编造实验结果、引用、行号或未实际完成的修改;需要作者补充的内容会标记为 AUTHOR_INPUT_NEEDED。首次投稿材料由 nature-writing 处理,模拟同行评审由 nature-reviewer 处理。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月24日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
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.
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.Unlike nature-writing or nature-figure, nature-response has no fragment axis. Its variation is identified at runtime, not by loading different content bodies:
draft / audit / revise / triage-only / cover-letter / revision-package / latex-template / appeal-like.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.
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.
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.
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跨多个来源检索学术文献、核对引文并转换参考文献文件;可使用MeSH设计PubMed检索式,也可区分独立他引与自引,整理引用者及引用语境。
在指定的Nature系列或CNS相关期刊范围内查找论文,核对摘要或出版社页面,将文献对应到稿件中的具体论点,并导出经核实、可导入文献管理软件的参考信息。
起草或检查论文的数据与代码可用性声明,整理数据来源、存储位置、访问限制、标识符和正式引用,并核对有助于发现与复用数据的元数据。
通过开放获取、出版社 API 或机构授权渠道获取学术论文全文和补充材料。它会为每篇文献选择获取途径,并记录文件格式、来源和下载结果。
把实验照片、音频和文字整理成带结构化元数据的 Markdown 日志,分配实验编号和样品批次编号,并归档原始附件;还可选接入飞书群消息或 Obsidian。
使用Python或R创建、修改并导出论文科学图,检查多面板对齐、文字和元素重叠。也可制作可编辑的矢量示意图,以及经明确要求生成的图形摘要。