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Dyz Med Cnki

Community
duyunzhoudyz
dyz-med-cnki

为医学主题设计并执行可复现的中英文文献检索,产出查询式、检索记录和去重后的候选文献池。当用户要“查文献” “覆盖 PubMed 和中文来源”或核实某研究问题的文献范围时使用;本技能负责发现与记录,深度精读交给 dyz-med-key-literature,系统综述的正式筛选与纳入流程交给 dyz-med-screening-pipeline。无法直接访问知网、万方或 维普时只能提供 discovery_only 线索,不得声称完成了数据库检索或全文获取。 Use for PubMed and Chinese medical literature search; database execution requires access.

Overview

Publisherduyunzhoudyz
Repositorydyz-med-paper-skills
Skill namedyz-med-cnki
Stars
102
Forks
1
Bundled files
12
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.

  • 12 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 Cnki 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/duyunzhoudyz/dyz-med-paper-skills/tree/main/dyz-med-cnki
  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/duyunzhoudyz/dyz-med-paper-skills.git /tmp/dyz-med-paper-skills
mkdir -p .claude/skills
cp -r /tmp/dyz-med-paper-skills/dyz-med-cnki .claude/skills/dyz-med-cnki
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dyz Med Cnki 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 Cnki 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 Cnki 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.

医学文献检索网关

核心原则

  • 先定义问题与检索范围,再选择数据库。
  • 结构化数据库记录、网页线索和全文阅读是三种不同证据状态,不能混写。
  • 不虚构检索式、结果数、PMID、DOI、被引数或数据库覆盖。
  • 不绕过登录、机构权限、验证码或付费墙。
  • 本技能生成候选池,不把摘要阅读称为深度精读。

工作流程

1. 明确输入

至少确认:

  • 研究问题及 PICO、PECO 或 PCC 要素;
  • 研究设计、日期、语种和人群限制;
  • 是否必须覆盖中国人群、国内实践、政策或指南;
  • 这是一般背景检索、选题缺口核查,还是系统综述检索;
  • 用户可访问哪些数据库或已提供哪些导出记录。

信息不足时,只追问会改变检索式或覆盖范围的问题。

2. 选择来源

来源适用角色可声明的完成状态
PubMed生物医学结构化主检索、MeSH 扩展可复现检索
Google Scholar 或普通网页检索灰色文献、跨学科线索、引文追溯补充发现
CNKI、万方、维普中国人群、本土政策、国内期刊仅在实际进入数据库并记录查询时称为数据库检索
用户提供的 RIS、BibTeX、CSV已有候选记录导入按文件来源标注
注册平台、预印本和开放仓库在研项目、注册报告、预印本、开放数据补充核查

若无法直接进入中文数据库:

  1. 可用网页检索发现标题、作者、期刊、年份和页面链接;
  2. 将记录标为 discovery_only;
  3. 告知用户需要自行登录数据库或通过机构图书馆核实、导出或下载;
  4. 对系统综述明确指出:网页线索发现不能替代规范的数据库检索。

3. 构建查询

先读取 templates/data/search-protocol.yaml。领域匹配时,再读取 templates/data/search-templates/ 下的对应模板。

  1. 拆出主题词、自由词、同义词、缩写和拼写变体。
  2. 使用当前环境可用的 PubMed/MeSH 工具核实主题词。
  3. 用布尔逻辑组合概念,并明确字段、日期、语种、物种和研究设计限制。
  4. 为每个数据库保留其原生查询式,不把 PubMed 语法直接复制到其他平台。
  5. 不使用尚未执行的占位查询式生成结果数。

4. 执行与记录

每次检索记录:

  • 检索日期和数据库;
  • 完整查询式;
  • 过滤条件;
  • 返回记录数;
  • 导出或分页范围;
  • 关键 PMID、DOI 或平台标识符;
  • 访问与全文状态;
  • 未覆盖来源及原因。

项目模式下,以 templates/search-record-skeleton.md 为骨架,将记录追加到 paper/evidence/search-record.md;不要覆盖既有记录。

5. 核实与去重

  • 优先用 DOI、PMID 或其他稳定标识符去重。
  • 无稳定标识符时,使用规范化标题、年份和第一作者辅助判断,并保留人工复核标记。
  • Google Scholar、网页片段或中文线索在引用前,应尽可能通过期刊官网、Crossref、PubMed 或数据库原始记录核实。
  • 被引数、影响力标签和“高质量”判断必须注明来源和查询日期。
  • 合法开放全文定位成功只表示可以访问;实际读取并核对全文后才能标为 full_text_read。
  • 可选使用自包含标准库 scripts/verify_references.py 对规范化JSON/CSV题录做确定性身份核验; 该身份核验脚本不承担RIS/BibTeX导入,也不自动改原始文献库;导入使用下述独立工具。具体字段、授权合同与命令见 检索记录模板的题录核验接口。
  • 工具默认离线,接受有版本绑定的固定响应;离线matched只是重放结果,不是实时数据库核验。 联网须显式--online及完整当前人类授权记录,只发送获准裸DOI/PMID到固定Crossref/PubMed API。 不发送题名、作者、摘要或稿件正文,不读取凭据、不跟随重定向、不访问题录提供的任意URL。
  • 外部处理前核对内容类别、用途、具体接收方/目的地、允许字段及当前人类来源,任一未知整批零发送。 授权绑定题录工件的artifact_id/version/sha256,并保留角色、确认时间、原话及来源路径/哈希/定位。 机器只能确认记录结构和字节,不认证身份/权限;用途、目的地或输入改变须重新确认。
  • 题录身份matched/mismatch/unverified与访问范围、全文已读、六类论断支持裁定分列。真DOI配错题名 输出mismatch;超时、429、404、无结果或缺DOI均不能判断文献虚构。无DOI但有PMID仍可核对; 无标识符不联网猜搜题名,保留人工核实。
  • 只消费当前输入绑定的报告。记录实际接口、日期、核对字段与差异;报告和引用其哈希的独立check分开。 输入变化使旧检查失效;检查completed/退出0不代表全文已读、论断SUPPORTED或医学质量通过。

使用以下状态:

  • full_text_read:全文已获取并实际核对;
  • abstract_only:只核对摘要或结构化记录;
  • discovery_only:仅网页或二手线索,尚未核实原始记录;
  • access_failure_recorded:已尝试但受权限、登录或全文可得性限制。

6. 交付

输出:

  1. 检索范围与来源覆盖说明;
  2. 每个来源的完整检索记录;
  3. 去重后的候选文献表;
  4. 关键未覆盖来源和人工补充步骤;
  5. 推荐交给 dyz-med-key-literature 深读的候选文献;
  6. 若用于系统综述,明确转交 dyz-med-screening-pipeline 的导入与筛选要求。

可重复导入与主题检索

已有 RIS、字面值 BibTeX、NBIB 或 PubMed XML 时,按文献工具接口使用 import_references.py,生成有来源的文献库与每批最多100条的身份核验输入。 需要主题检索时可使用 search_pubmed.py,保留完整查询、分页、失败和在线/重放身份;partial 不能声明全量完成。上述任务不扩大到全文阅读。

完成检查

  • 查询式、日期、过滤条件和结果数可追溯;
  • 所有 PMID、DOI 和题录信息均来自实际记录;
  • 不同来源的记录已去重或标为待复核;
  • 每条候选文献有来源与访问状态;
  • 中文数据库访问限制已如实披露;
  • 网页线索未被描述为完整数据库检索;
  • 未把摘要阅读描述为全文精读;
  • 系统综述场景已记录未覆盖数据库及补救计划。

配套资源

  • templates/data/search-protocol.yaml:PRISMA-S 检索记录骨架。
  • templates/data/search-templates/:心血管、肿瘤和公共卫生查询结构。
  • templates/search-record-skeleton.md:项目检索记录模板。
  • scripts/verify_references.py:默认离线的规范化题录身份核验器;无兄弟技能导入依赖。
  • examples/worked-example.md:虚构教学示例。
  • references/规范与文献清单.md:检索报告方法学参考。

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 Cnki AI skill do?

为医学主题设计并执行可复现的中英文文献检索,产出查询式、检索记录和去重后的候选文献池。当用户要“查文献” “覆盖 PubMed 和中文来源”或核实某研究问题的文献范围时使用;本技能负责发现与记录,深度精读交给 dyz-med-key-literature,系统综述的正式筛选与纳入流程交给 dyz-med-screening-pipeline。无法直接访问知网、万方或 维普时只能提供 discovery_only 线索,不得声称完成了数据库检索或全文获取。 Use for PubMed and Chinese medical literature search; database execution requires access.

Why use Dyz Med Cnki on TypingMind?

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

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

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 Cnki?

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

Is the Dyz Med Cnki 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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