medsci-skills MCP — 使用场景, 安装 & 实时演示

为什么要用

核心特性

23 skills spanning design → analysis → manuscript → submission
33 reporting-guideline compliance audits (STROBE, PRISMA, STARD, CONSORT…)
Python/R code generation for 13+ common study designs
Verified citations — anti-hallucination by default
Built by an actively publishing physician

实时演示

实际使用效果

medsci-skill.replay ▶ 就绪

0/0

安装

选择你的客户端

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "medsci-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/Aperivue/medsci-skills",
        "~/.claude/skills/medsci-skills"
      ],
      "_inferred": true
    }
  }
}

打开 Claude Desktop → Settings → Developer → Edit Config。保存后重启应用。

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "medsci-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/Aperivue/medsci-skills",
        "~/.claude/skills/medsci-skills"
      ],
      "_inferred": true
    }
  }
}

Cursor 使用与 Claude Desktop 相同的 mcpServers 格式。项目级配置优先于全局。

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "medsci-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/Aperivue/medsci-skills",
        "~/.claude/skills/medsci-skills"
      ],
      "_inferred": true
    }
  }
}

点击 Cline 侧栏中的 MCP Servers 图标，然后选 "Edit Configuration"。

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "medsci-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/Aperivue/medsci-skills",
        "~/.claude/skills/medsci-skills"
      ],
      "_inferred": true
    }
  }
}

格式与 Claude Desktop 相同。重启 Windsurf 生效。

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "medsci-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/Aperivue/medsci-skills",
        "~/.claude/skills/medsci-skills"
      ]
    }
  ]
}

Continue 使用服务器对象数组，而非映射。

~/.config/zed/settings.json

{
  "context_servers": {
    "medsci-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/Aperivue/medsci-skills",
          "~/.claude/skills/medsci-skills"
        ]
      }
    }
  }
}

加入 context_servers。Zed 保存后热重载。

claude mcp add medsci-skill -- git clone https://github.com/Aperivue/medsci-skills ~/.claude/skills/medsci-skills

一行命令搞定。用 claude mcp list 验证，claude mcp remove 卸载。

使用场景

实战用法： medsci-skills

Draft a STROBE-compliant observational study manuscript

👤 Clinical researchers with a cleaned dataset and ready to write ⏱ ~120 min advanced

何时使用： You have analyses done and need to turn them into a submittable IMRAD manuscript.

前置条件

Cleaned, de-identified dataset + analysis outputs — Use the de-identification and stats skills first if not done
Skill installed — git clone https://github.com/Aperivue/medsci-skills ~/.claude/skills/medsci-skills

步骤

Draft methods and results from outputs

Use medsci-skills. Here are my analysis outputs and study design (retrospective cohort). Draft the Methods and Results sections, STROBE-compliant.✓ 已复制

→ Full drafts with STROBE item mapping
Run compliance audit

Now audit this manuscript against the STROBE checklist — flag every missing item.✓ 已复制

→ Table: item / present? / note
Self-review from reviewer perspective

Now critique this manuscript as a reviewer at the target journal would. Be harsh.✓ 已复制

→ Numbered critique with line-level references

结果： A manuscript that clears a reporting-guideline audit and has been stress-tested before submission.

注意事项

Citations that look right but don't exist — The skill enforces verification — never accept a citation you can't open in PubMed

搭配使用： arxiv · biomcp

Run a PRISMA-compliant systematic review pipeline

👤 Researchers starting a systematic review / meta-analysis ⏱ ~240 min advanced

何时使用： You're beginning a PRISMA-guided review.

步骤

Build search strategy and fetch

Use medsci-skills to design a PRISMA search for '<topic>'. Run it against PubMed and Europe PMC.✓ 已复制

→ Boolean strategy + hit counts per database
Screen and extract

For the included studies, extract into the meta-analysis pipeline format.✓ 已复制

→ Structured extraction table
Generate PRISMA flow diagram and forest plot

Now generate the PRISMA diagram and forest plot figures at journal resolution.✓ 已复制

→ PDF/PNG figures ready to paste

结果： A compliant SR manuscript scaffold with figures.

注意事项

Over-inclusive search returns 10k+ hits — Tighten terms with the skill's query-refinement helper

搭配使用： arxiv

Calculate sample size with an IRB-ready justification paragraph

👤 PIs preparing an ethics submission ⏱ ~15 min intermediate

何时使用： Before IRB review, when you need the stats justification done right.

步骤

Specify effect size, alpha, power

Use medsci-skills sample-size. Design: two-arm RCT. Primary outcome: continuous, expected difference 0.3 SD, alpha 0.05, power 0.8, 1:1 allocation.✓ 已复制

→ N per arm + the formula + an IRB-ready paragraph

结果： A justification block you can paste into the protocol.

Draft point-by-point responses to reviewer comments

👤 Authors preparing a revision ⏱ ~45 min intermediate

何时使用： You got R1 reviews back and need a disciplined response.

步骤

Structure the response letter

Here are the reviewer comments. Use medsci-skills to draft a point-by-point response — quote comment, response, revised manuscript location.✓ 已复制

→ Structured table-like response with line refs

结果： A cover letter editors will thank you for.

注意事项

Agreeing with every comment and weakening the paper — Ask the skill to push back on comments you disagree with, with evidence

组合

与其他 MCP 搭配，撬动十倍杠杆

medsci-skill + arxiv + biomcp

Pull primary literature with verifiable IDs for citations

Use biomcp + medsci-skills literature-search to find RCTs on <topic> from 2020–2025.✓ 已复制

medsci-skill + filesystem

Keep protocol / manuscript / figures / stats in one versioned folder

Create project structure per medsci-skills conventions and initialize git.✓ 已复制

工具

此 MCP 暴露的能力

工具	输入参数	何时调用
literature-search	topic, databases	Start of any research task
sample-size	design, effect size, alpha, power	Protocol writing
deidentify	clinical dataset	Before any data work
stats-code	design, data structure	Analysis phase
manuscript-imrad	outputs, design	Writing phase
compliance-audit	manuscript, guideline (STROBE/PRISMA/…)	Pre-submission
journal-recommender	manuscript	Picking where to submit
reviewer-response	reviews, manuscript	Revision phase

成本与限制

运行它的成本

API 配额: None from the skill itself
每次调用 Token 数: Large — manuscript drafts run 10–30k tokens
费用: Free, OSS
提示: Draft with a smaller model, polish with Opus — the 2-pass approach halves spend

安全

权限、密钥、影响范围

凭据存储： No credentials stored; any DB API keys (PubMed, etc.) read from env

数据出站： Only to databases you configure — PubMed, arXiv, etc. Never send PHI to external LLMs without de-identification.

Always run deidentify before feeding patient data to the manuscript/stats skills.
Citations must be spot-checked — the skill verifies, but humans sign the paper.

故障排查

常见错误与修复

literature-search returns no results

Broaden terms; the skill defaults to strict Boolean

Compliance audit flags many items as missing

That's expected on a first draft — work through them in order of severity

替代方案

medsci-skills 对比其他方案

替代方案	何时用它替代	权衡
biomcp	You mainly need biomedical data retrieval without the manuscript layer	Less writing support
arxiv	Pre-prints only	No medical guideline compliance

medsci-skills

为什么要用

核心特性

实时演示

实际使用效果

安装

选择你的客户端

使用场景

实战用法： medsci-skills

Draft a STROBE-compliant observational study manuscript

前置条件

步骤

注意事项

Run a PRISMA-compliant systematic review pipeline

步骤

注意事项

Calculate sample size with an IRB-ready justification paragraph

步骤

Draft point-by-point responses to reviewer comments

步骤

注意事项

组合

与其他 MCP 搭配，撬动十倍杠杆

工具

此 MCP 暴露的能力

成本与限制

运行它的成本

安全

权限、密钥、影响范围

故障排查

常见错误与修复

替代方案

medsci-skills 对比其他方案

更多

资源