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digital-health-compliance-planning数字健康合规规划

Agent Skill

digital-health-compliance-planning 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。

总安装

1,152

周安装

49

GitHub Stars

11

下载量

404
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:digital-health-compliance-planning(数字健康合规规划)
来源仓库:https://github.com/stanfordspezi/spezivibe
仓库路径:skills/digital-health-compliance-planning
安装命令:
npx skills add https://github.com/stanfordspezi/spezivibe --skill digital-health-compliance-planning
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/stanfordspezi/spezivibe --skill digital-health-compliance-planning

简介

digital-health-compliance-planning 用于规划数字健康产品的合规要求与治理框架。

  • 适用于处理受监管的健康数据、准备 HIPAA、GDPR、FDA 等合规对话,适合在 Codex、Claude、Cursor、Gemini CLI 中开展合规设计。
  • 聚焦产品目的与用户定义,识别隐私、研究、监管与治理需求,避免过早陷入具体控制措施。
  • 安装前需确认仓库权限与维护状态,注意是否会触发联网、命令执行或文件读写操作。
  • 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。

SKILL.md

Compliance Planner

Plan privacy, research, regulatory, and governance requirements for a digital health product in a framework-agnostic way.

When to Use

Use this skill when you need to:

  • assess whether a product handles regulated health or research data
  • prepare for HIPAA, IRB, FDA, GDPR, or institutional review conversations
  • define consent, retention, export, deletion, and audit expectations
  • identify compliance work that should shape product scope early

Working Style

Do not jump straight to controls. First understand:

  1. product purpose
  2. who the users are
  3. whether the product is clinical care, research, wellness, operations, or education
  4. what data is collected, derived, shared, or exported
  5. which regions, institutions, and partners are involved

Then produce a concise compliance planning brief with assumptions, risks, open questions, and recommended next steps.

Core Questions

Ask about:

  • intended use and claims
  • user groups such as patients, participants, clinicians, coordinators, or caregivers
  • data types collected, inferred, uploaded, or connected from external systems
  • whether the product supports research, quality improvement, or direct care
  • data storage, processing, and sharing locations
  • third-party vendors and subprocessors
  • admin access, audit needs, and incident response expectations
  • export, deletion, correction, and retention requirements

Compliance Areas To Review

HIPAA and Institutional Privacy

Check whether the product likely handles protected health information or institution-controlled data.

Review:

  • what identifiers are present
  • who is a covered entity or business associate
  • minimum necessary access expectations
  • workforce, admin, and support access boundaries
  • logging, monitoring, and breach response needs

Research and IRB

If the product supports a study, review:

  • study purpose and protocol maturity
  • recruitment and consent approach
  • risk level and participant burden
  • withdrawal process
  • de-identification or anonymization approach
  • data sharing and secondary use plans

FDA and Product Claims

Evaluate whether the product may be treated as software with medical-device implications.

Ask:

  • does it diagnose, recommend treatment, monitor for intervention, or drive clinical action
  • are outputs informational, advisory, or action-triggering
  • what happens if the product is wrong, unavailable, or delayed

GDPR and Cross-Border Privacy

If EU or UK users may be involved, review:

  • lawful basis
  • consent and withdrawal mechanics
  • subject rights handling
  • transfer mechanisms
  • retention, deletion, and processing-record expectations

Planning Outputs

Produce a brief with these sections and save it as docs/planning/compliance-brief.md in the project repository:

1. Scope Summary

  • product purpose
  • user groups
  • jurisdictions and institutions
  • data categories in scope

2. Likely Compliance Domains

Mark each as likely, possible, or unlikely:

  • HIPAA or institutional privacy
  • IRB or human subjects review
  • FDA or software-as-medical-device review
  • GDPR or other regional privacy obligations
  • security review by enterprise or academic partners

3. Key Risks

Call out the highest-risk issues, such as:

  • unclear product claims
  • unnecessary data collection
  • missing consent boundaries
  • unclear vendor or data-sharing relationships
  • lack of export, deletion, or audit processes

4. Required Decisions

List decisions the team must make soon, for example:

  • exact data categories to collect
  • whether identifiable data is actually required
  • whether the product is research, care delivery, or wellness
  • retention timelines
  • who can access what data and why

5. Recommended Controls

Express these as implementation-neutral capabilities, not code:

  • access control and least privilege
  • encryption in transit and at rest
  • audit logging
  • consent capture and versioning
  • export and deletion workflows
  • vendor review and data processing agreements
  • documented retention and incident response procedures

Important Guardrails

  • Do not present legal conclusions as certainties.
  • Distinguish clearly between product guidance and legal advice.
  • Prefer “you likely need to evaluate” over “you must” unless the requirement is explicit and well established.
  • Flag when local counsel, compliance officers, IRB staff, or institutional privacy teams should review the plan.

Checklist

  • Product purpose and claims clarified
  • User groups and jurisdictions identified
  • Data categories and sharing paths mapped
  • Research and clinical context assessed
  • Likely compliance domains identified
  • High-risk gaps called out
  • Required decisions listed
  • Recommended controls framed without platform-specific implementation details

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.1%
按下载量换算142

Claude

33.98%
按下载量换算137

Cursor

17.61%
按下载量换算71

Gemini CLI

9.82%
按下载量换算40

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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