Dyz Med Review

Q: What does the Dyz Med Review AI skill do?

对接近投稿状态的医学稿件做五个视角的模拟审稿：证据、方法统计、伦理合规、临床领域与期刊编辑，并汇总 为定位明确的 PASS、REVISE 或 REJECT 建议。当用户要求投稿前全面把关、模拟同行评议或评估拒稿风险时 使用；这是决策支持，不是真实同行评议，也不会自动修改、导出或投稿。 Use for simulated pre-submission peer review and located revision recommendations.

Community

duyunzhoudyz

dyz-med-review

对接近投稿状态的医学稿件做五个视角的模拟审稿：证据、方法统计、伦理合规、临床领域与期刊编辑，并汇总为定位明确的 PASS、REVISE 或 REJECT 建议。当用户要求投稿前全面把关、模拟同行评议或评估拒稿风险时使用；这是决策支持，不是真实同行评议，也不会自动修改、导出或投稿。 Use for simulated pre-submission peer review and located revision recommendations.

Overview

Publisher	duyunzhoudyz
Repository	`dyz-med-paper-skills`
Skill name	`dyz-med-review`
Stars	102
Forks	1
Bundled files	6
Links	Skill source Repository Homepage

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.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by duyunzhoudyz on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/duyunzhoudyz/dyz-med-paper-skills/tree/main/dyz-med-review
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.

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/duyunzhoudyz/dyz-med-paper-skills.git /tmp/dyz-med-paper-skills
mkdir -p .claude/skills
cp -r /tmp/dyz-med-paper-skills/dyz-med-review .claude/skills/dyz-med-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dyz Med 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 Dyz Med 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 Dyz Med 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.

医学论文多视角模拟审稿

使用前说明

模拟审稿不能替代真实领域专家、统计师、伦理审查或期刊编辑。报告必须注明实际审阅范围、稿件版本、使用的模型/运行方式以及局限。

默认按五个视角审阅，不虚构五位审稿人。同一模型逐视角审阅必须标注 single-model multi-lens review。若实际使用多个上下文或模型，记录真实模型、上下文共享、先前意见可见性与运行限制；新开对话本身不保证意见独立性，跨模型也不等于独立专家。补充首轮/续审仅在用户要求及环境允许时执行，不是导出的强制前提。

所需输入

完整稿件及表图、补充材料和参考文献；
研究方案、注册记录、结构化结果和分析说明；
论断—证据矩阵与报告规范核对结果（如已有）；
目标期刊当前作者须知；
审阅范围和稿件版本。

缺少某类材料时仍可审阅可见部分，但对应视角不得给出无保留 PASS。

五个审阅视角

1. 证据

核对核心论断、引用匹配、知识缺口、矛盾证据、摘要与正文一致性。区分已验证、部分支持和无法核实。

2. 方法与统计

核对设计与问题、样本来源、结局定义、偏倚控制、模型、协变量、缺失数据、效应量与不确定性、亚组和敏感性分析。需要正式偏倚评估工具时，选择适合研究类型的工具，不混用。

3. 伦理与透明度

核对适用的伦理审批、知情同意、注册、方案偏离、利益冲突、资助者角色、作者贡献、数据共享和实际 AI 使用披露。研究参与知情同意与患者发表同意分别核对；病例、可识别叙述或影像等的发表同意适用性需由有资质的伦理/临床人员结合期刊要求复核。参与同意、伦理批准、去标识化都不能自动证明发表同意已取得或可豁免。无法确认时标为待专业复核，不编造批准、同意或豁免。

4. 临床/领域

评估临床问题的重要性、结局相关性、生物学合理性、适用人群、替代解释和结论是否改变实践。不能访问领域专门知识或全文证据时，降低判断强度。

5. 期刊编辑

评估稿件定位、结构、标题摘要、篇幅、图表经济性、期刊范围和明显退修/拒稿风险。期刊政策必须基于当前官方说明，不能使用过时记忆。

每个视角的报告格式

每条意见包含：

稳定问题 ID、严重程度：critical、major 或 minor；非阻断建议另作备注，不新增严重度枚举；
稿件位置；
观察到的问题；
为什么重要；
最小可行修复；
需要作者确认的事实；
建议结论：PASS、REVISE 或 REJECT。

REJECT 只表示当前版本存在可能无法通过局部修订解决的根本问题，并非真实期刊决定。

汇总规则

合并重复意见，但保留不同视角的理由。
事实和数值冲突优先于风格问题。
不用平均分掩盖单个关键风险。
总体结论由最严重、证据最充分的问题决定，并列出达到下一状态的条件。
只提供修订路线；用户要求后才交给 dyz-med-revision 执行。

版本绑定与交接

消费 R2 schema 1.1 工件合同：输入按稳定 artifact_id/version/sha256 绑定，路径相对于明确项目根目录；有 passport 时使用其中的 artifacts，无 passport 时可交付同形独立记录，不强制安装或调用其他技能。每次审阅新建唯一 checks[].id，记录完整相关 inputs、scope.domain/description、 execution_status、applicability、domain_result、report:{path,sha256} 和 checked_at。执行状态为 not_run / blocked / failed / completed；适用性为 applicable / not_applicable / unknown，后两者需理由。已完成的模拟审稿用 domain_result:{namespace: mock_review, value: PASS|REVISE|REJECT}；未完成时领域结论为 null，blocked/failed 记 reason。先保存报告，再在独立记录中引用报告哈希，不自哈希。

逐条消费验证输出的 freshness: current / stale / unverified，不写入自称 current 的证据。current 只证明声明的绑定可核对；校验器退出码 0 也可对应 REJECT，绝不转换成科学 PASS。按本次相关记录判断，不用总退出码触发全流程。输入版本/字节变化使依赖检查 stale；缺材料、缺绑定、范围有限或未核实检查不能证明全文通过。纯排版也默认使旧绑定失效；沿用科学判断须新建当前绑定记录，附内容等价性和定位重核依据，保留旧记录。问题按 open_items 记录 id/severity/status；处理状态为 open / in_progress / awaiting_verification / verified_closed，回应立场不作关闭证据。关闭须关联 verification_check_id 和 evidence:{path,sha256}，核对该检查 current、 completed、applicable 且其实际领域结论支持关闭；当前 REJECT 或重大未结问题必须传给下游。

外部审阅预检

外部服务或远程模型收到内容前，逐项记录内容类别（公开题录、未发表稿件、作者身份、患者相关内容等）、用途、服务/接收方与目的地、允许发送的字段/文件/范围及当前人类授权。工具已连接、只要求审稿或已获本地导出授权都不等于外传许可；目的地、范围或授权未知时不发送，改用已确认本地路径或仅交付本地审阅材料。批准使用 R2 human_approvals：核对 state、targets 的 artifact_id/version/sha256、role、confirmed_at 和 source 的 human/actor_id/statement/reference/locator；结合当前请求与授权者权限人工核实， recorded_not_authenticated 不能当身份或合法性证明。内容/用途/目的地/范围改变必须重新确认。回执记录预检时间、上述最小授权信息、批准来源、实际发送字段/工件绑定、接收方、时间、执行状态、返回证据与限制；无授权时写实际未发送及本地降级，不把期望输出写成结果，不在日志复制敏感正文或凭据。授权也不能豁免患者隐私复核。

输出

默认写入（沿用用户已有路径，登记实际工件，不推断文件名即身份）：

paper/review/01-evidence.md
paper/review/02-methods-statistics.md
paper/review/03-ethics-transparency.md
paper/review/04-domain.md
paper/review/05-journal-editor.md
paper/review/00-aggregate-report.md

如果只做单一模型审阅，所有文件和汇总页都应带同一运行方式标记。

验收标准

五个视角均有范围、证据和具体定位；
没有把单模型角色扮演描述为独立专家；
高优先级意见可操作且不要求编造新数据；
未改动稿件；
总体结论与最严重问题一致，限制清楚。

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 Dyz Med Review AI skill do?

Why use Dyz Med Review on TypingMind?

Because you install it once and use it with any model. Dyz Med 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 Dyz Med Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/duyunzhoudyz/dyz-med-paper-skills/tree/main/dyz-med-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 Dyz Med 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 Dyz Med Review?

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

Is the Dyz Med Review AI skill free?

It is published on GitHub by duyunzhoudyz. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

医学论文多视角模拟审稿

使用前说明

所需输入

五个审阅视角

1. 证据

2. 方法与统计

3. 伦理与透明度

4. 临床/领域

5. 期刊编辑

每个视角的报告格式

汇总规则

版本绑定与交接

外部审阅预检

输出

验收标准

配套资源

Bundled files

Frequently asked questions

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