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Agent Skill · 研究检索

mdr-745-specialist(MDR 745 专家)

mdr-745-specialist 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

mdr-745-specialist 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 23,650。

总安装 4,211周安装 172GitHub Stars 13,168下载 1,348核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mdr-745-specialist(MDR 745 专家)
来源仓库:https://github.com/alirezarezvani/claude-skills
仓库路径:skills/mdr-745-specialist
安装命令:
npx skills add https://github.com/alirezarezvani/claude-skills --skill mdr-745-specialist
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/alirezarezvani/claude-skills --skill mdr-745-specialist

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

mdr-745-specialist 针对欧盟 MDR 2017/745 法规提供医疗器械分类与临床证据管理支持。依据设备侵入性、接触时长与能量依赖特性确定风险等级,指导技术文档编制。建立 EUDAMED 注册准备清单与 UDI 编码规则,辅助完成上市后监督流程。

涉及医疗器械申报时务必由持证人员复核所有输出内容,确保符合监管要求。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/mdr-745-specialist

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/alirezarezvani/claude-skills --skill mdr-745-s…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

mdr-745-specialist 怎么安装?

在终端执行 npx skills add https://github.com/alirezarezvani/claude-skills --skill mdr-745-specialist。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mdr-745-specialist 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

mdr-745-specialist 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

mdr-745-specialist 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

mdr-745-specialist 用的人多吗?

公开数据是累计安装 4,211 次,近一周安装 172 次,下载 1,348 次,GitHub 13,168 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

mdr-745-specialist 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 13,168 星,维护活跃度相对可查。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
mdr-745-specialist

MDR 745 专家 · 本页

4,21113,168只读MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

MDR 2017/745 Specialist

EU MDR compliance patterns for medical device classification, technical documentation, and clinical evidence.


Table of Contents


Device Classification Workflow

Classify device under MDR Annex VIII:

  1. Identify device duration (transient, short-term, long-term)
  2. Determine invasiveness level (non-invasive, body orifice, surgical)
  3. Assess body system contact (CNS, cardiac, other)
  4. Check if active device (energy dependent)
  5. Apply classification rules 1-22
  6. For software, apply MDCG 2019-11 algorithm
  7. Document classification rationale
  8. Validation: Classification confirmed with Notified Body

Classification Matrix

FactorClass IClass IIaClass IIbClass III
DurationAnyShort-termLong-termLong-term
InvasivenessNon-invasiveBody orificeSurgicalImplantable
SystemAnyNon-criticalCritical organsCNS/cardiac
RiskLowestLow-mediumMedium-highHighest

Software Classification (MDCG 2019-11)

Information UseCondition SeverityClass
Informs decisionNon-seriousIIa
Informs decisionSeriousIIb
Drives/treatsCriticalIII

Classification Examples

Example 1: Absorbable Surgical Suture

  • Rule 8 (implantable, long-term)
  • Duration: > 30 days (absorbed)
  • Contact: General tissue
  • Classification: Class IIb

Example 2: AI Diagnostic Software

  • Rule 11 + MDCG 2019-11
  • Function: Diagnoses serious condition
  • Classification: Class IIb

Example 3: Cardiac Pacemaker

  • Rule 8 (implantable)
  • Contact: Central circulatory system
  • Classification: Class III

Technical Documentation

Prepare technical file per Annex II and III:

  1. Create device description (variants, accessories, intended purpose)
  2. Develop labeling (Article 13 requirements, IFU)
  3. Document design and manufacturing process
  4. Complete GSPR compliance matrix
  5. Prepare benefit-risk analysis
  6. Compile verification and validation evidence
  7. Integrate risk management file (ISO 14971)
  8. Validation: Technical file reviewed for completeness

Technical File Structure

ANNEX II TECHNICAL DOCUMENTATION
├── Device description and UDI-DI
├── Label and instructions for use
├── Design and manufacturing info
├── GSPR compliance matrix
├── Benefit-risk analysis
├── Verification and validation
└── Clinical evaluation report

GSPR Compliance Checklist

RequirementEvidenceStatus
Safe design (GSPR 1-3)Risk management file☐
Chemical properties (GSPR 10.1)Biocompatibility report☐
Infection risk (GSPR 10.2)Sterilization validation☐
Software requirements (GSPR 17)IEC 62304 documentation☐
Labeling (GSPR 23)Label artwork, IFU☐

Conformity Assessment Routes

ClassRouteNB Involvement
IAnnex II self-declarationNone
Is/ImAnnex II + IX/XISterile/measuring aspects
IIaAnnex II + IX or XIProduct or QMS
IIbAnnex IX + X or X + XIType exam + production
IIIAnnex IX + XFull QMS + type exam

Clinical Evidence

Develop clinical evidence strategy per Annex XIV:

  1. Define clinical claims and endpoints
  2. Conduct systematic literature search
  3. Appraise clinical data quality
  4. Assess equivalence (technical, biological, clinical)
  5. Identify evidence gaps
  6. Determine if clinical investigation required
  7. Prepare Clinical Evaluation Report (CER)
  8. Validation: CER reviewed by qualified evaluator

Evidence Requirements by Class

ClassMinimum EvidenceInvestigation
IRisk-benefit analysisNot typically required
IIaLiterature + post-marketMay be required
IIbSystematic literature reviewOften required
IIIComprehensive clinical dataRequired (Article 61)

Clinical Evaluation Report Structure

CER CONTENTS
├── Executive summary
├── Device scope and intended purpose
├── Clinical background (state of the art)
├── Literature search methodology
├── Data appraisal and analysis
├── Safety and performance conclusions
├── Benefit-risk determination
└── PMCF plan summary

Qualified Evaluator Requirements

  • Medical degree or equivalent healthcare qualification
  • 4+ years clinical experience in relevant field
  • Training in clinical evaluation methodology
  • Understanding of MDR requirements

Post-Market Surveillance

Establish PMS system per Chapter VII:

  1. Develop PMS plan (Article 84)
  2. Define data collection methods
  3. Establish complaint handling procedures
  4. Create vigilance reporting process
  5. Plan Periodic Safety Update Reports (PSUR)
  6. Integrate with PMCF activities
  7. Define trend analysis and signal detection
  8. Validation: PMS system audited annually

PMS System Components

ComponentRequirementFrequency
PMS PlanArticle 84Maintain current
PSURClass IIa and higherPer class schedule
PMCF PlanAnnex XIV Part BUpdate with CER
PMCF ReportAnnex XIV Part BAnnual (Class III)
VigilanceArticles 87-92As events occur

PSUR Schedule

ClassFrequency
Class IIIAnnual
Class IIb implantableAnnual
Class IIbEvery 2 years
Class IIaWhen necessary

Serious Incident Reporting

TimelineRequirement
2 daysSerious public health threat
10 daysDeath or serious deterioration
15 daysOther serious incidents

EUDAMED and UDI

Implement UDI system per Article 27:

  1. Obtain issuing entity code (GS1, HIBCC, ICCBBA)
  2. Assign UDI-DI to each device variant
  3. Assign UDI-PI (production identifier)
  4. Apply UDI carrier to labels (AIDC + HRI)
  5. Register actor in EUDAMED
  6. Register devices in EUDAMED
  7. Upload certificates when available
  8. Validation: UDI verified on sample labels

EUDAMED Modules

ModuleContentActor
ActorCompany registrationManufacturer, AR
UDI/DeviceDevice and variant dataManufacturer
CertificatesNB certificatesNotified Body
Clinical InvestigationStudy registrationSponsor
VigilanceIncident reportsManufacturer
Market SurveillanceAuthority actionsCompetent Authority

UDI Label Requirements

Required elements per Article 13:

  • UDI-DI (device identifier)
  • UDI-PI (production identifier) for Class II+
  • AIDC format (barcode/RFID)
  • HRI format (human-readable)
  • Manufacturer name and address
  • Lot/serial number
  • Expiration date (if applicable)

Reference Documentation

MDR Classification Guide

references/mdr-classification-guide.md contains:

  • Complete Annex VIII classification rules (Rules 1-22)
  • Software classification per MDCG 2019-11
  • Worked classification examples
  • Conformity assessment route selection

Clinical Evidence Requirements

references/clinical-evidence-requirements.md contains:

  • Clinical evidence framework and hierarchy
  • Literature search methodology
  • Clinical Evaluation Report structure
  • PMCF plan and evaluation report guidance

Technical Documentation Templates

references/technical-documentation-templates.md contains:

  • Annex II and III content requirements
  • Design History File structure
  • GSPR compliance matrix template
  • Declaration of Conformity template
  • Notified Body submission checklist

Tools

MDR Gap Analyzer

# Quick gap analysis
python scripts/mdr_gap_analyzer.py --device "Device Name" --class IIa

# JSON output for integration
python scripts/mdr_gap_analyzer.py --device "Device Name" --class III --output json

# Interactive assessment
python scripts/mdr_gap_analyzer.py --interactive

Analyzes device against MDR requirements, identifies compliance gaps, generates prioritized recommendations.

Output includes:

  • Requirements checklist by category
  • Gap identification with priorities
  • Critical gap highlighting
  • Compliance roadmap recommendations

Notified Body Interface

Selection Criteria

FactorConsiderations
Designation scopeCovers your device type
CapacityTimeline for initial audit
Geographic reachMarkets you need to access
Technical expertiseExperience with your technology
Fee structureTransparency, predictability

Pre-Submission Checklist

  • Technical documentation complete
  • GSPR matrix fully addressed
  • Risk management file current
  • Clinical evaluation report complete
  • QMS (ISO 13485) certified
  • Labeling and IFU finalized
  • Validation: Internal gap assessment complete

平台分布

Claude Code

27.56%
按下载量换算372

OpenCode

25.77%
按下载量换算347

Gemini CLI

18.44%
按下载量换算249

Codex

12.44%
按下载量换算168

Cursor

8.48%
按下载量换算114

Antigravity

3.31%
按下载量换算45

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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