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Nursing Peer Review

Community
GuoZheng-de-BaBa
nursing-peer-review

对护理科研稿件或指定片段进行投稿前模拟审稿,核查研究有效性、护理价值、报告完整性和图表一致性,给出有原文依据的修改优先级。此为 AI 辅助审查,不是期刊编辑决定,也不负责逐条审稿回复。

Overview

PublisherGuoZheng-de-BaBa
Repositorynursing-research-skills
Skill namenursing-peer-review
Stars
179
Forks
2
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by GuoZheng-de-BaBa on GitHub. Read the source before you install it.

Installation

Install the Nursing Peer Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/GuoZheng-de-BaBa/nursing-research-skills/tree/main/skills/nursing-peer-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/GuoZheng-de-BaBa/nursing-research-skills.git /tmp/nursing-research-skills
mkdir -p .claude/skills
cp -r /tmp/nursing-research-skills/skills/nursing-peer-review .claude/skills/nursing-peer-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nursing Peer Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nursing Peer Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nursing Peer Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

模拟审稿搭子 / Nursing Peer Review

围绕稿件真正要成立的研究结论,判断哪些证据已经足够,哪些问题会改变读者理解,并给出可以执行的修订路径。按目标护理期刊与研究设计评价,不默认要求 Nature 式跨学科突破。

只审查用户有权提供的材料。受邀审稿的保密稿件须满足期刊关于 AI 和保密的要求,不能因审稿人能访问就推定可上传;边界不明时仅用公开或合成材料演示。先读 隐私边界;适用的研究判断见 护理研究规则。

构建有依据的审查

  1. 识别输入范围、稿件版本、目标期刊与用户需要的审查深度。若只有摘要或方法片段,先审可见部分,不推断其他章节不存在。没有目标期刊时按一般护理研究标准审查,期刊适配保留未知。
  2. 用一段话忠实概括研究问题、设计、主要发现和声称的贡献。把优势与主要疑点都定位到具体材料,避免用泛化的“缺乏创新”代替分析。
  3. 按设计读取 护理审稿框架,核对对象/分析单位、测量、方法—结论对应、样本形成、结果不确定性、伦理报告和护理价值。需要期刊规范时查当前官方要求并注明版本;报告清单不是质量评分。
  4. 检查全文、表格、图、摘要间的关键样本、单位、方向和模型一致性。数字看起来异常先列出可核对的算式或来源;不能只凭不寻常就指控造假。
  5. 每个问题写成“定位—问题—对结论的影响—可行修订/需要的证据—验收条件”。严重程度由对推断的影响决定;缺少材料用“无法评估”,缺少报告用“未报告”,有记录证明未实施才写“未实施”。
  6. 默认交付一份整合的 AI 模拟审查。只有用户要求多个独立视角且环境真正支持隔离时,才使用互不看结果的上下文;最终如实说明独立性与局限,不伪装真实专家或人工共识,不按固定数量凑问题。

优先级与可修复性

  • **关键问题:**当前证据无法支撑核心结论,或真实性、伦理及设计问题需先解决。
  • **主要问题:**影响解释、可重复性或护理贡献,需要补证、合理再分析或实质重写。
  • **次要问题:**局部表述、图注、格式等,对核心推断影响有限。

每项注明可由“文字修订”“核查既有材料”“追加可行分析”“新增研究”解决,区分当前稿件可修与需要未来研究的问题。不以提出大量新实验衡量审查质量,也不把真实限制仅靠润色删掉。

交付

使用 审查报告 和 问题台账,先给总体判断与最有价值的发现,再列按优先级排序的问题。提供具体可行的收窄主张或表达方案;若材料不足以判断,列出所需最小证据。

不承诺录用、不编期刊分区/影响因子、不把模拟审查称为真实同行评审。收到正式审稿意见后的回复任务移交审稿回复流程,保留问题定位。官方来源见 方法来源。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nursing Peer Review AI skill do?

对护理科研稿件或指定片段进行投稿前模拟审稿,核查研究有效性、护理价值、报告完整性和图表一致性,给出有原文依据的修改优先级。此为 AI 辅助审查,不是期刊编辑决定,也不负责逐条审稿回复。

Why use Nursing Peer Review on TypingMind?

Because you install it once and use it with any model. Nursing Peer Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nursing Peer Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/GuoZheng-de-BaBa/nursing-research-skills/tree/main/skills/nursing-peer-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nursing Peer Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nursing Peer Review?

As many as you like. As long as a model supports skills, you can use Nursing Peer Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nursing Peer Review AI skill free?

Yes. It is published on GitHub by GuoZheng-de-BaBa under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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