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Agent Skill · 研究检索

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

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。

digital-health-compliance-planning 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,权限为权限未标注;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 41,613。

总安装 1,152周安装 49GitHub Stars 11下载 404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
unknown

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

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。

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。

来源仓库内路径:skills/digital-health-compliance-planning

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/stanfordspezi/spezivibe --skill digital-health…;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

digital-health-compliance-planning 怎么安装?

在终端执行 npx skills add https://github.com/stanfordspezi/spezivibe --skill digital-health-complianc…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

digital-health-compliance-planning 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。

digital-health-compliance-planning 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

digital-health-compliance-planning 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

digital-health-compliance-planning 用的人多吗?

公开数据是累计安装 1,152 次,近一周安装 49 次,下载 404 次,GitHub 11 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。

digital-health-compliance-planning 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
digital-health-compliance-planning

数字健康合规规划 · 本页

1,15211权限未标注未明确通过

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

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

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

权限未标注

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。目前只有一个公开来源,建议同时核对源仓库。

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