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Agent Skill · 效率

health-records-ingest(健康记录摄取)

health-records-ingest 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

health-records-ingest 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 12,280。

总安装 4,206周安装 177GitHub Stars 公开资料未说明下载 1,473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-0
版本
1.0.1

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:health-records-ingest(健康记录摄取)
来源仓库:https://github.com/hsongra11/health-records-ingest
安装命令:
openclaw skills install health-records-ingest
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install health-records-ingest

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

帮助用户构建个性化健康记录系统,支持目标设定与进度跟踪。适用于采访用户需求并生成定制化健康表单或问卷。可集成多种数据类型,便于后续分析和可视化展示。安装命令:openclaw skills install health-records-ingest。涉及用户隐私数据时需明确授权并限制访问范围。

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 OpenClaw;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 openclaw skills install health-records-ingest;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

health-records-ingest 怎么安装?

在终端执行 openclaw skills install health-records-ingest。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

health-records-ingest 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

health-records-ingest 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

health-records-ingest 是免费的吗?

来源标注的许可证是 MIT-0。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。

health-records-ingest 用的人多吗?

公开数据是累计安装 4,206 次,近一周安装 177 次,下载 1,473 次。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。

health-records-ingest 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 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

  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
health-records-ingest

健康记录摄取 · 本页

4,206—需要联网MIT-0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

name
health-records-ingest
description
Interview a user and build a personalized health-record system around their goals, reports, and tracking needs. Use when someone wants to organize their health data, create a reusable health workspace, ingest PDFs/screenshots/scans, define what to track over time, and maintain a durable system with raw files, readable notes, structured data, and summaries.

Health Records Ingest

Build a personal health knowledge system around the user, not just around files.

Workflow

  1. Interview the user first.
  2. Confirm privacy, processing, and storage boundaries before touching files.
  3. Define the health workspace structure around their goals.
  4. Preserve incoming raw files.
  5. Create readable extractions.
  6. Add or update structured tracking files.
  7. Maintain dashboard/history summaries.
  8. Recheck unclear extractions without overwriting the original note.

Interview first

Before building the system, ask only the minimum useful questions needed to shape it.

Default interview topics:

  • What is the goal: baseline tracking, fitness transformation, disease management, annual records, or lab organization?
  • What file types will arrive: blood tests, scans, prescriptions, DEXA, wearables, Apple Health exports, doctor notes?
  • What should be tracked over time?
  • What summaries matter most: abnormalities, trends, doctor-ready summaries, supplements, symptoms, activity?
  • Does the user want a simple structure or a more detailed longitudinal system?
  • Should processing be strictly local? Default to local-only unless the user explicitly approves another path.
  • Are third-party OCR, cloud extraction, or web APIs allowed? Default to no external upload without explicit consent.
  • Where should files live, and what retention/deletion expectations does the user want?

If the user already provided enough context, do not over-interview. Start building.

Build the system around the user

Create the smallest useful system first, then expand.

Default folder layout:

health/
  reports/      # original PDFs
  scans/        # original images / photos
  notes/        # one extracted Markdown note per report
  data/         # JSON and CSV tracking files
  history/      # chronological summaries
  dashboard/    # latest snapshot + abnormalities summary

Adapt this when needed. Example additions:

  • health/prescriptions/
  • health/symptoms/
  • health/medicines/
  • health/doctors/
  • health/wearables/

Rules

  • Preserve raw sources.
  • Default to local-only processing.
  • Do not upload health files, screenshots, or extracted data to third-party OCR/API services unless the user explicitly approves it for this workflow.
  • If local extraction is incomplete, ask before using any cloud or external processing path.
  • Use date-first filenames where possible.
  • Keep one Markdown note per source report, plus *-recheck.md only when needed.
  • Use simple status labels such as in_range, low, high, reactive, pending.
  • Keep summaries traceable back to the original file path.
  • Be explicit about storage location and retention when setting up a new system.
  • Do not present extracted content as medical advice.
  • Prefer incremental updates over reorganizing everything repeatedly.

What to capture

Lab reports

  • test name
  • value
  • units
  • reference range if visible
  • status

Body composition

  • weight
  • body fat %
  • fat mass
  • muscle mass
  • BMI
  • visceral fat
  • water metrics if present
  • segmental breakdown if present

Imaging / ECG / scans

  • study type
  • impression / conclusion
  • notable numeric values
  • normal vs abnormal summary

Recheck behavior

If a PDF pass misses something but later screenshot/manual review confirms it:

  • create or update a *-recheck.md note
  • say exactly what changed
  • preserve the earlier extraction note

References

Read references/workflow.md for the full four-layer method, interview guidance, naming conventions, and update process. Read references/examples.md for concrete file examples and summary patterns.

平台分布

OpenClaw

97.04%
按下载量换算1,429

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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