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AI + Obsidian 搭家庭私有健康档案,思路对了但“私有化”说法偏满

这不是一个成熟的“私有化健康系统”,而是一个面向技术用户的健康信息整理工作流,价值真实,但宣传里的隐私与可靠性边界说得还不够硬。
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2026-03-26 原文链接 ↗
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核心观点

  • 本质是工作流,不是产品 这个仓库最有价值的地方,不是做了一个健康 App,而是把“报告拍照—AI提取—本地归档—趋势分析—行动提醒”压成了一套可执行流程;这个判断成立,因为它明确交付的是模板、提示词和 Obsidian 结构,而不是自动化医疗软件。
  • 解决的是家庭健康信息碎片化这个真问题 报告散落、父母记不住药、复查节点没人盯,这些痛点都很硬;因此哪怕完全不谈 AI,只做统一归档,这套方案也已经有实际用处。
  • “私有化”卖点成立一半,不成立一半 数据存于本地 Obsidian 这部分是真的,但只要把报告、药盒、病史发给 Claude/ChatGPT/Gemini 分析,数据就已经过云端;所以它不是严格私有化,而是“本地存储 + 可能云分析”的折中方案,标题级表述偏强。
  • AI 在这里最适合做整理,不适合被暗示成判断者 体检报告提取、口语化解释、问诊准备这些场景很适合 AI 辅助,但“药盒识别”“异常检测”“个性化日常方案”已经进入高风险区;项目没有给出准确率、复核机制和禁用边界,这不是小问题,而是核心短板。
  • 30 分钟搭建有传播价值,但低估长期维护成本 起盘确实可能很快,但真正难的是长期录入、校对 AI 提取结果、维护 CSV 和家人档案;所以“搭起来”容易,“持续有用”才是重成本,README 有明显营销压缩。

跟我们的关联

  • 对 ATou 意味着什么、下一步怎么用 这说明“模板 + prompt + 本地库”本身就是可成立的轻产品形态;下一步可以把这个结构抽象成更多高隐私场景的标准框架,比如法务档案、家庭财务、客户研究。
  • 对 Neta 意味着什么、下一步怎么用 这类项目证明用户未必需要更重的 SaaS,而是需要更清晰的数据结构和低摩擦入口;下一步可重点研究“碎片输入如何标准化回写本地知识库”,而不是先追求全自动 agent。
  • 对 Uota 意味着什么、下一步怎么用 这套方法很适合把自己或家人的低频高重要信息整理起来,但前提是把 AI 当秘书而不是医生;下一步最合理的用法,是先做“归档 + 提问清单 + 复查提醒”,不要直接信任任何用药与异常判断。
  • 对 ATou/Uota 都意味着什么、下一步怎么用 这项目最值得学的是边界表达:它明确说“不适合谁”,这比泛化承诺更成熟;下一步如果复用这套路,必须把“哪些场景能用、哪些场景必须人工复核”写得更狠更清楚。

讨论引子

1. 在健康场景里,“本地存储 + 云端分析”还能不能被叫作“私有化”,还是这已经是误导性营销? 2. AI 做健康管理时,最安全且最有价值的边界到底在哪里:整理信息、生成问题,还是可以进一步给行动建议? 3. 这类“模板 + prompt + 本地知识库”的轻产品,是否比做完整 App 更有机会成为 AI 时代的新主流形态?

AI Health Vault

英文 | 中文

用 Obsidian 为自己和家人搭建一套私有的、由 AI 驱动的健康管理系统。

它不是 App,也不是代码项目。它是一套模板 + 提示词 + 搭建指南。把它克隆下来,让你的 AI(Claude / ChatGPT / Gemini)读一遍,它会一步步带你把全家的健康档案搭起来。

为什么

  • 医疗报告散落在不同医院,没有人替你追踪趋势
  • 父母记不住自己在吃什么药、剂量是多少、什么时候复查
  • 商业健康 App 往往需要上传全家的隐私健康数据
  • 只需要一套本地模板,让数据留在自己的电脑里

30 分钟搭建

1. Fork this repo (or download ZIP)
2. Open the vault/ folder in Obsidian
3. Fill in family member names in "健康管理中心.md"
4. Take a photo of a medical report → send to AI → AI fills in the template
5. Done. Repeat step 4 for every checkup, doctor visit, or new medication.

快速开始:Claude Code 用户

如果你使用 Claude Code,直接克隆,然后开始对话就行:

git clone https://github.com/runesleo/ai-health-vault.git
cd ai-health-vault
claude
# "Help me analyze this checkup report" (attach photo)

.claude/skills/ 目录里包含 8 个预置技能,会自动启用,无需手动复制粘贴提示词。

仓库结构

ai-health-vault/
├── .claude/skills/                 # Claude Code skills (auto-loaded)
│   ├── health-report-extract.md    # Checkup report → structured data
│   ├── medication-recognize.md     # Pill box photo → drug info
│   ├── health-trend-analysis.md    # Multi-checkup trend analysis
│   ├── medical-visit-prep.md       # Pre-visit checklist generator
│   ├── apple-watch-analysis.md     # Apple Watch health data analysis
│   ├── family-friendly-health.md   # Plain language for parents
│   ├── checkup-calendar.md         # Follow-up calendar + alerts
│   └── daily-health-plan.md        # Personalized daily health plan
├── vault/                          # Obsidian Vault templates (ready to use)
│   ├── 健康管理中心.md              # Hub + workflow instructions
│   ├── 家庭成员健康档案.md           # Family overview
│   ├── 就医记录.md                  # Medical visits / surgery / chronic conditions
│   ├── 成员模板/
│   │   └── 体检档案-模板.md         # Per-person checkup archive (incl. Apple Watch)
│   ├── tracking/
│   │   ├── 用药打卡.csv             # Daily medication log
│   │   ├── 饮食记录.csv             # Diet tracking
│   │   ├── 运动记录.csv             # Exercise tracking
│   │   └── 体检指标.csv             # Key checkup metrics over time
│   └── 知识库/
│       └── 常见指标参考.md           # Common health metrics reference
├── prompts/                        # Prompt collection (works with any AI)
│   ├── 01-体检报告提取.md            # Photo → structured data
│   ├── 02-药盒识别.md               # Medication photo → drug list
│   ├── 03-趋势分析.md               # Historical comparison + anomaly detection
│   ├── 04-就医准备.md               # Pre-visit checklist generator
│   ├── 05-Apple-Watch数据分析.md    # Health data export → analysis
│   ├── 06-微信版口语化.md            # Convert to plain language for parents
│   ├── 07-复查日历生成.md            # Follow-up calendar + overdue alerts
│   └── 08-日常管理方案.md            # Diet / exercise / medication / warning signs
├── guides/
│   └── 快速开始.md                  # Detailed setup tutorial
└── LICENSE

提示词

prompts/ 里的每个文件都是一条独立提示词,可以直接复制粘贴到任意 AI 对话中:

Prompt Purpose Input     Checkup Report Extraction Photo/PDF → structured table Report photo   Medication Recognition Pill box photo → drug name + dosage + frequency Medication photo   Trend Analysis Compare multiple checkups, flag anomalies Checkup archive   Pre-Visit Prep Generate questions for your doctor Department + history   Apple Watch Analysis Export health data → full report export.zip   WeChat Version Convert analysis to plain language for parents Any analysis result   Follow-up Calendar Generate follow-up schedule with overdue alerts Family archives   Daily Health Plan Diet + exercise + medication + warning signs Personal archive

适合谁

  • 想为父母建立健康档案的技术型用户
  • 在意健康数据,但不想用第三方 App 的人
  • Apple Watch / 智能手环用户,想从数据里获得更多价值的人

不适合谁

  • 不使用 AI 工具的人(需要 Claude / ChatGPT / Gemini)
  • 想要全自动方案的人(这是模板,你需要把数据喂给 AI)
  • 不介意商业健康 App 处理自己数据的人

隐私

所有健康数据都保存在 Obsidian 本地,不会自动上传。不过,当你把数据发给 AI 做分析时,内容会经过它们的服务器:

  • Claude Code(API 模式)—— Anthropic 不会把 API 输入用于模型训练(隐私政策
  • ChatGPT —— 在 设置 → 数据控制 中关闭 Improve the model for everyone
  • Gemini —— 在 Google AI Studio 检查你的数据共享设置
  • 最高隐私 —— 使用本地模型(例如 Ollama、LM Studio)进行分析

Obsidian 是你的本地库,AI 是你的分析师。库永远留在你的机器上,但分析这一步除非使用本地模型,否则会涉及云端 API。

参与贡献

欢迎提交 Issue 和 PR:

  • 新提示词(例如面向特定检查项目的专用提取)
  • 优化现有模板结构
  • 为常见健康指标补充参考范围
  • 翻译

Star 历史

作者

Leo(@runes_leo)—— AI × Crypto 独立开发者。在 Polymarket 做量化交易,用 Claude Code 构建数据分析与自动化系统。持续交付代码与产品,记录一路踩坑与经验。更多内容 → leolabs.me

许可证

MIT

关于

用 AI + Obsidian 为自己和家人搭建私有化健康管理系统。模板 + 提示词 + 搭建指南。

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Readme

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AI Health Vault

English | 中文

Build a private, AI-powered health management system for yourself and your family using Obsidian.

Not an app. Not a code project. It's a set of templates + prompts + setup guides. Clone it, let your AI (Claude / ChatGPT / Gemini) read it, and it will guide you through building your family's health archive step by step.

AI Health Vault

英文 | 中文

用 Obsidian 为自己和家人搭建一套私有的、由 AI 驱动的健康管理系统。

它不是 App,也不是代码项目。它是一套模板 + 提示词 + 搭建指南。把它克隆下来,让你的 AI(Claude / ChatGPT / Gemini)读一遍,它会一步步带你把全家的健康档案搭起来。

Why

  • Medical reports scattered across hospitals — no one tracks trends for you

  • Your parents can't remember their own medication, dosages, or follow-up dates

  • Commercial health apps require uploading your family's private health data

  • You just need local templates where the data stays on your machine

为什么

  • 医疗报告散落在不同医院,没有人替你追踪趋势
  • 父母记不住自己在吃什么药、剂量是多少、什么时候复查
  • 商业健康 App 往往需要上传全家的隐私健康数据
  • 只需要一套本地模板,让数据留在自己的电脑里

30-Minute Setup

1. Fork this repo (or download ZIP)
2. Open the vault/ folder in Obsidian
3. Fill in family member names in "健康管理中心.md"
4. Take a photo of a medical report → send to AI → AI fills in the template
5. Done. Repeat step 4 for every checkup, doctor visit, or new medication.

30 分钟搭建

1. Fork this repo (or download ZIP)
2. Open the vault/ folder in Obsidian
3. Fill in family member names in "健康管理中心.md"
4. Take a photo of a medical report → send to AI → AI fills in the template
5. Done. Repeat step 4 for every checkup, doctor visit, or new medication.

Quick Start: Claude Code Users

If you use Claude Code, just clone and start talking:

git clone https://github.com/runesleo/ai-health-vault.git
cd ai-health-vault
claude
# "Help me analyze this checkup report" (attach photo)

The .claude/skills/ directory contains 8 pre-built skills that activate automatically — no manual prompt copy-paste needed.

快速开始:Claude Code 用户

如果你使用 Claude Code,直接克隆,然后开始对话就行:

git clone https://github.com/runesleo/ai-health-vault.git
cd ai-health-vault
claude
# "Help me analyze this checkup report" (attach photo)

.claude/skills/ 目录里包含 8 个预置技能,会自动启用,无需手动复制粘贴提示词。

Repository Structure

ai-health-vault/
├── .claude/skills/                 # Claude Code skills (auto-loaded)
│   ├── health-report-extract.md    # Checkup report → structured data
│   ├── medication-recognize.md     # Pill box photo → drug info
│   ├── health-trend-analysis.md    # Multi-checkup trend analysis
│   ├── medical-visit-prep.md       # Pre-visit checklist generator
│   ├── apple-watch-analysis.md     # Apple Watch health data analysis
│   ├── family-friendly-health.md   # Plain language for parents
│   ├── checkup-calendar.md         # Follow-up calendar + alerts
│   └── daily-health-plan.md        # Personalized daily health plan
├── vault/                          # Obsidian Vault templates (ready to use)
│   ├── 健康管理中心.md              # Hub + workflow instructions
│   ├── 家庭成员健康档案.md           # Family overview
│   ├── 就医记录.md                  # Medical visits / surgery / chronic conditions
│   ├── 成员模板/
│   │   └── 体检档案-模板.md         # Per-person checkup archive (incl. Apple Watch)
│   ├── tracking/
│   │   ├── 用药打卡.csv             # Daily medication log
│   │   ├── 饮食记录.csv             # Diet tracking
│   │   ├── 运动记录.csv             # Exercise tracking
│   │   └── 体检指标.csv             # Key checkup metrics over time
│   └── 知识库/
│       └── 常见指标参考.md           # Common health metrics reference
├── prompts/                        # Prompt collection (works with any AI)
│   ├── 01-体检报告提取.md            # Photo → structured data
│   ├── 02-药盒识别.md               # Medication photo → drug list
│   ├── 03-趋势分析.md               # Historical comparison + anomaly detection
│   ├── 04-就医准备.md               # Pre-visit checklist generator
│   ├── 05-Apple-Watch数据分析.md    # Health data export → analysis
│   ├── 06-微信版口语化.md            # Convert to plain language for parents
│   ├── 07-复查日历生成.md            # Follow-up calendar + overdue alerts
│   └── 08-日常管理方案.md            # Diet / exercise / medication / warning signs
├── guides/
│   └── 快速开始.md                  # Detailed setup tutorial
└── LICENSE

仓库结构

ai-health-vault/
├── .claude/skills/                 # Claude Code skills (auto-loaded)
│   ├── health-report-extract.md    # Checkup report → structured data
│   ├── medication-recognize.md     # Pill box photo → drug info
│   ├── health-trend-analysis.md    # Multi-checkup trend analysis
│   ├── medical-visit-prep.md       # Pre-visit checklist generator
│   ├── apple-watch-analysis.md     # Apple Watch health data analysis
│   ├── family-friendly-health.md   # Plain language for parents
│   ├── checkup-calendar.md         # Follow-up calendar + alerts
│   └── daily-health-plan.md        # Personalized daily health plan
├── vault/                          # Obsidian Vault templates (ready to use)
│   ├── 健康管理中心.md              # Hub + workflow instructions
│   ├── 家庭成员健康档案.md           # Family overview
│   ├── 就医记录.md                  # Medical visits / surgery / chronic conditions
│   ├── 成员模板/
│   │   └── 体检档案-模板.md         # Per-person checkup archive (incl. Apple Watch)
│   ├── tracking/
│   │   ├── 用药打卡.csv             # Daily medication log
│   │   ├── 饮食记录.csv             # Diet tracking
│   │   ├── 运动记录.csv             # Exercise tracking
│   │   └── 体检指标.csv             # Key checkup metrics over time
│   └── 知识库/
│       └── 常见指标参考.md           # Common health metrics reference
├── prompts/                        # Prompt collection (works with any AI)
│   ├── 01-体检报告提取.md            # Photo → structured data
│   ├── 02-药盒识别.md               # Medication photo → drug list
│   ├── 03-趋势分析.md               # Historical comparison + anomaly detection
│   ├── 04-就医准备.md               # Pre-visit checklist generator
│   ├── 05-Apple-Watch数据分析.md    # Health data export → analysis
│   ├── 06-微信版口语化.md            # Convert to plain language for parents
│   ├── 07-复查日历生成.md            # Follow-up calendar + overdue alerts
│   └── 08-日常管理方案.md            # Diet / exercise / medication / warning signs
├── guides/
│   └── 快速开始.md                  # Detailed setup tutorial
└── LICENSE

Prompts

Each file in prompts/ is a standalone prompt — copy-paste into any AI conversation:

Prompt Purpose Input     Checkup Report Extraction Photo/PDF → structured table Report photo   Medication Recognition Pill box photo → drug name + dosage + frequency Medication photo   Trend Analysis Compare multiple checkups, flag anomalies Checkup archive   Pre-Visit Prep Generate questions for your doctor Department + history   Apple Watch Analysis Export health data → full report export.zip   WeChat Version Convert analysis to plain language for parents Any analysis result   Follow-up Calendar Generate follow-up schedule with overdue alerts Family archives   Daily Health Plan Diet + exercise + medication + warning signs Personal archive

提示词

prompts/ 里的每个文件都是一条独立提示词,可以直接复制粘贴到任意 AI 对话中:

Prompt Purpose Input     Checkup Report Extraction Photo/PDF → structured table Report photo   Medication Recognition Pill box photo → drug name + dosage + frequency Medication photo   Trend Analysis Compare multiple checkups, flag anomalies Checkup archive   Pre-Visit Prep Generate questions for your doctor Department + history   Apple Watch Analysis Export health data → full report export.zip   WeChat Version Convert analysis to plain language for parents Any analysis result   Follow-up Calendar Generate follow-up schedule with overdue alerts Family archives   Daily Health Plan Diet + exercise + medication + warning signs Personal archive

Who This Is For

  • Tech-savvy people who want to build health archives for their parents

  • Anyone who cares about health data but doesn't want to use third-party apps

  • Apple Watch / smartband owners who want more value from their data

适合谁

  • 想为父母建立健康档案的技术型用户
  • 在意健康数据,但不想用第三方 App 的人
  • Apple Watch / 智能手环用户,想从数据里获得更多价值的人

Who This Is NOT For

  • People who don't use AI tools (requires Claude / ChatGPT / Gemini)

  • People who want fully automated solutions (this is a template — you feed data to AI)

  • People who are fine with commercial health apps handling their data

不适合谁

  • 不使用 AI 工具的人(需要 Claude / ChatGPT / Gemini)
  • 想要全自动方案的人(这是模板,你需要把数据喂给 AI)
  • 不介意商业健康 App 处理自己数据的人

Privacy

All health data is stored locally in Obsidian — nothing is uploaded automatically. However, when you send data to AI for analysis, the content passes through their servers:

  • Claude Code (API mode) — Anthropic does not use API inputs for model training (privacy policy)

  • ChatGPT — Turn off "Improve the model for everyone" in Settings → Data Controls

  • Gemini — Check your data sharing settings in Google AI Studio

  • Maximum privacy — Use a local model (e.g., Ollama, LM Studio) for analysis

Obsidian is your local vault. AI is your analyst. The vault never leaves your machine — but the analysis step involves cloud APIs unless you use a local model.

隐私

所有健康数据都保存在 Obsidian 本地,不会自动上传。不过,当你把数据发给 AI 做分析时,内容会经过它们的服务器:

  • Claude Code(API 模式)—— Anthropic 不会把 API 输入用于模型训练(隐私政策
  • ChatGPT —— 在 设置 → 数据控制 中关闭 Improve the model for everyone
  • Gemini —— 在 Google AI Studio 检查你的数据共享设置
  • 最高隐私 —— 使用本地模型(例如 Ollama、LM Studio)进行分析

Obsidian 是你的本地库,AI 是你的分析师。库永远留在你的机器上,但分析这一步除非使用本地模型,否则会涉及云端 API。

Contributing

Issues and PRs welcome:

  • New prompts (e.g., specialized extraction for specific test types)

  • Improve existing template structures

  • Add reference ranges for common health metrics

  • Translations

参与贡献

欢迎提交 Issue 和 PR:

  • 新提示词(例如面向特定检查项目的专用提取)
  • 优化现有模板结构
  • 为常见健康指标补充参考范围
  • 翻译

Star History

Star 历史

Author

Leo (@runes_leo) — AI × Crypto independent builder. Quantitative trading on Polymarket, building data analysis and automation systems with Claude Code. Shipping code, building products, documenting lessons learned. More → leolabs.me

作者

Leo(@runes_leo)—— AI × Crypto 独立开发者。在 Polymarket 做量化交易,用 Claude Code 构建数据分析与自动化系统。持续交付代码与产品,记录一路踩坑与经验。更多内容 → leolabs.me

License

MIT

许可证

MIT

About

用 AI + Obsidian 为自己和家人搭建私有化健康管理系统。模板 + Prompt + 搭建指南。

Resources

Readme

License

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用 AI + Obsidian 为自己和家人搭建私有化健康管理系统。模板 + 提示词 + 搭建指南。

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AI Health Vault

English | 中文

Build a private, AI-powered health management system for yourself and your family using Obsidian.

Not an app. Not a code project. It's a set of templates + prompts + setup guides. Clone it, let your AI (Claude / ChatGPT / Gemini) read it, and it will guide you through building your family's health archive step by step.

Why

  • Medical reports scattered across hospitals — no one tracks trends for you

  • Your parents can't remember their own medication, dosages, or follow-up dates

  • Commercial health apps require uploading your family's private health data

  • You just need local templates where the data stays on your machine

30-Minute Setup

1. Fork this repo (or download ZIP)
2. Open the vault/ folder in Obsidian
3. Fill in family member names in "健康管理中心.md"
4. Take a photo of a medical report → send to AI → AI fills in the template
5. Done. Repeat step 4 for every checkup, doctor visit, or new medication.

Quick Start: Claude Code Users

If you use Claude Code, just clone and start talking:

git clone https://github.com/runesleo/ai-health-vault.git
cd ai-health-vault
claude
# "Help me analyze this checkup report" (attach photo)

The .claude/skills/ directory contains 8 pre-built skills that activate automatically — no manual prompt copy-paste needed.

Repository Structure

ai-health-vault/
├── .claude/skills/                 # Claude Code skills (auto-loaded)
│   ├── health-report-extract.md    # Checkup report → structured data
│   ├── medication-recognize.md     # Pill box photo → drug info
│   ├── health-trend-analysis.md    # Multi-checkup trend analysis
│   ├── medical-visit-prep.md       # Pre-visit checklist generator
│   ├── apple-watch-analysis.md     # Apple Watch health data analysis
│   ├── family-friendly-health.md   # Plain language for parents
│   ├── checkup-calendar.md         # Follow-up calendar + alerts
│   └── daily-health-plan.md        # Personalized daily health plan
├── vault/                          # Obsidian Vault templates (ready to use)
│   ├── 健康管理中心.md              # Hub + workflow instructions
│   ├── 家庭成员健康档案.md           # Family overview
│   ├── 就医记录.md                  # Medical visits / surgery / chronic conditions
│   ├── 成员模板/
│   │   └── 体检档案-模板.md         # Per-person checkup archive (incl. Apple Watch)
│   ├── tracking/
│   │   ├── 用药打卡.csv             # Daily medication log
│   │   ├── 饮食记录.csv             # Diet tracking
│   │   ├── 运动记录.csv             # Exercise tracking
│   │   └── 体检指标.csv             # Key checkup metrics over time
│   └── 知识库/
│       └── 常见指标参考.md           # Common health metrics reference
├── prompts/                        # Prompt collection (works with any AI)
│   ├── 01-体检报告提取.md            # Photo → structured data
│   ├── 02-药盒识别.md               # Medication photo → drug list
│   ├── 03-趋势分析.md               # Historical comparison + anomaly detection
│   ├── 04-就医准备.md               # Pre-visit checklist generator
│   ├── 05-Apple-Watch数据分析.md    # Health data export → analysis
│   ├── 06-微信版口语化.md            # Convert to plain language for parents
│   ├── 07-复查日历生成.md            # Follow-up calendar + overdue alerts
│   └── 08-日常管理方案.md            # Diet / exercise / medication / warning signs
├── guides/
│   └── 快速开始.md                  # Detailed setup tutorial
└── LICENSE

Prompts

Each file in prompts/ is a standalone prompt — copy-paste into any AI conversation:

Prompt Purpose Input     Checkup Report Extraction Photo/PDF → structured table Report photo   Medication Recognition Pill box photo → drug name + dosage + frequency Medication photo   Trend Analysis Compare multiple checkups, flag anomalies Checkup archive   Pre-Visit Prep Generate questions for your doctor Department + history   Apple Watch Analysis Export health data → full report export.zip   WeChat Version Convert analysis to plain language for parents Any analysis result   Follow-up Calendar Generate follow-up schedule with overdue alerts Family archives   Daily Health Plan Diet + exercise + medication + warning signs Personal archive

Who This Is For

  • Tech-savvy people who want to build health archives for their parents

  • Anyone who cares about health data but doesn't want to use third-party apps

  • Apple Watch / smartband owners who want more value from their data

Who This Is NOT For

  • People who don't use AI tools (requires Claude / ChatGPT / Gemini)

  • People who want fully automated solutions (this is a template — you feed data to AI)

  • People who are fine with commercial health apps handling their data

Privacy

All health data is stored locally in Obsidian — nothing is uploaded automatically. However, when you send data to AI for analysis, the content passes through their servers:

  • Claude Code (API mode) — Anthropic does not use API inputs for model training (privacy policy)

  • ChatGPT — Turn off "Improve the model for everyone" in Settings → Data Controls

  • Gemini — Check your data sharing settings in Google AI Studio

  • Maximum privacy — Use a local model (e.g., Ollama, LM Studio) for analysis

Obsidian is your local vault. AI is your analyst. The vault never leaves your machine — but the analysis step involves cloud APIs unless you use a local model.

Contributing

Issues and PRs welcome:

  • New prompts (e.g., specialized extraction for specific test types)

  • Improve existing template structures

  • Add reference ranges for common health metrics

  • Translations

Star History

Author

Leo (@runes_leo) — AI × Crypto independent builder. Quantitative trading on Polymarket, building data analysis and automation systems with Claude Code. Shipping code, building products, documenting lessons learned. More → leolabs.me

License

MIT

About

用 AI + Obsidian 为自己和家人搭建私有化健康管理系统。模板 + Prompt + 搭建指南。

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