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unisound-llm

unisound-recheck-reminder

by Unisound-LLM · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install unisound-recheck-reminder
Description
复查提醒。从体检报告中提取所有需复查项目,按紧急程度分级(2周/1-3月/3-6月/6-12月),给出复查检查项、就诊科室和准备事项(JSON + 面向受检者的复查提醒)。
README (SKILL.md)

复查提醒

概述

面向体检中心/健康管理机构,给定受检者体检报告,本技能会:

  • 识别所有需要复查的异常项目
  • 按紧急程度分级(紧急2周内/短期1-3月/中期3-6月/长期6-12月)
  • 为每项指定复查检查项目、就诊科室和建议机构
  • 给出复查前注意事项(空腹/停药等)
  • 区分"需到医院就诊"、"可在体检机构复查"、"可居家自测"三类
  • 生成面向受检者的友好提醒通知

与"检后随访管理"的区别:本技能聚焦复检闭环,输出更轻量(以提醒清单为主),适合直接推送给受检者;随访管理则包含健康指导等更宽泛的检后服务。

数据安全、隐私与伦理声明

  • 最小必要原则:仅处理生成复查提醒所必需的体检数据;不要求包含直接身份标识。
  • 严格脱敏:发送前对可识别身份信息进行脱敏处理。
  • 不做本地持久化:仅在内存中短暂处理;本次调用结束即销毁
  • 医疗边界:复查提醒为健康管理服务,具体复查方案由接诊医生决定。

输入格式

纯文本(UTF-8),可输入完整体检报告,例如:

受检者:女,42岁,体检日期:2026年5月
主要异常发现:
- 宫颈液基细胞学(TCT):ASCUS(不典型鳞状细胞,意义不明)
- 乳腺超声:右乳3mm低回声结节,BI-RADS 3类
- 甲状腺超声:左叶6mm低回声结节,TI-RADS 3类
- TG:2.3mmol/L(轻度升高)
- 空腹血糖:5.9mmol/L(正常高值)
- 血压:128/82mmHg
- 骨密度:腰椎T值-1.1(骨量减少)

也支持 JSON 格式(包含 text/content/report 字段的对象)。

快速开始

# 从 skills 目录运行
python3 health-exam/post-exam-mgmt/recheck-reminder/scripts/run.py \
  --input data/health-exam-recheck/case-001.txt \
  --appkey \x3Cyour-appkey>

# 保存输出到文件
python3 health-exam/post-exam-mgmt/recheck-reminder/scripts/run.py \
  --input data/health-exam-recheck/case-001.txt \
  --appkey \x3Cyour-appkey> \
  --output runs/health-exam-recheck/case-001.json

参数说明

  • --input PATH必填。体检报告文件路径(txt 或 json,UTF-8)。
  • --appkey STRING必填。调用内部医疗大模型的鉴权 key,由平台分配。
  • --output PATH:输出文件路径(默认:打印到 stdout)。
  • --base URL:内部大模型 base URL(默认:https://maas-api.hivoice.cn/v1)。
  • --model STRING:模型名称(默认:u1-insuremed)。
  • --timeout SECONDS:HTTP 超时秒数;0 表示一直等待(默认:0)。
  • --encoding STRING:输入文件编码(默认:utf-8)。

输出约定

输出分两部分:

JSON 结构

{
  "recheck_count": 6,
  "has_urgent": false,
  "items": [
    {
      "item": "宫颈TCT(ASCUS)",
      "current_finding": "ASCUS(不典型鳞状细胞,意义不明)",
      "recheck_urgency": "短期(1-3个月)",
      "recheck_exam": "HPV分型检测 + TCT复查",
      "recheck_venue": "二级及以上医院",
      "recheck_department": "妇科",
      "purpose": "明确是否存在高危型HPV感染,判断是否需要阴道镜检查",
      "preparation": ["月经干净后3-5天就诊", "就诊前24小时避免同房和阴道冲洗"],
      "what_to_watch": "如出现同房后出血或异常白带,提前就诊"
    },
    {
      "item": "甲油三酯(TG)轻度升高",
      "current_finding": "TG 2.3mmol/L(轻度升高)",
      "recheck_urgency": "中期(3-6个月)",
      "recheck_exam": "血脂四项复查",
      "recheck_venue": "体检机构",
      "recheck_department": null,
      "purpose": "评估生活方式干预后血脂控制效果",
      "preparation": ["空腹8-12小时", "复查前3天避免高脂饮食"],
      "what_to_watch": null
    }
  ],
  "grouped_by_venue": {
    "urgent_medical_referral": [],
    "followup_at_exam_center": ["血脂四项复查", "血糖复查", "骨密度复查"],
    "self_monitoring": ["每周测量血压1-2次"]
  }
}

复查提醒:以"【复查提醒】"开头,用清晰友好的语言提醒受检者需要跟进的复查事项。

依赖

运行环境

  • Python 3.7+(仅使用标准库,无需额外安装)

外部 API

  • 内部医疗大模型:https://maas-api.hivoice.cn/v1/chat/completions

备注

  • TI-RADS/BI-RADS 分类随访时间遵循国际超声学会标准
  • has_urgent 为 true 时,输出文字会特别强调紧急就诊的必要性
  • 发布约束:示例输入、运行输出均放在 skill 包外(data/runs/),skill 目录内仅保留可发布的核心文件
Usage Guidance
Treat this as an incomplete review: the sandbox failed before artifact inspection, so installation should wait for a successful scan of metadata.json and artifact contents.
Capability Analysis
Type: OpenClaw Skill Name: unisound-recheck-reminder Version: 1.0.0 The skill is a legitimate tool designed to extract medical recheck recommendations from health exam reports using an LLM. The Python script (scripts/run.py) uses only standard libraries to read local input files and communicate with a specific medical AI API (maas-api.hivoice.cn). No evidence of data exfiltration, malicious execution, or prompt injection attacks was found; the code logic is transparent and aligns with the stated purpose in SKILL.md.
Capability Assessment
Purpose & Capability
Unable to assess the skill purpose and capabilities because artifact files were not readable in this run.
Instruction Scope
Unable to inspect runtime instructions, so no evidence-backed instruction-scope concern is reported.
Install Mechanism
Unable to inspect install metadata or package contents, so no evidence-backed install concern is reported.
Credentials
Unable to compare requested environment access against the stated purpose.
Persistence & Privilege
Unable to inspect whether persistence, credentials, or privilege use are present.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install unisound-recheck-reminder
  3. After installation, invoke the skill by name or use /unisound-recheck-reminder
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of health-exam-recheck-reminder skill. - Extracts all items from health check reports that require re-examination, with urgency grading (2 weeks/1-3 months/3-6 months/6-12 months). - Provides detailed JSON structured output including recheck items, department, venue, preparation, and purpose. - Generates user-friendly recheck reminders tailored for examinees. - Fully implements data minimization, de-identification, and no local persistence for privacy compliance. - CLI supports both txt and json inputs; includes configuration options for API use.
Metadata
Slug unisound-recheck-reminder
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is unisound-recheck-reminder?

复查提醒。从体检报告中提取所有需复查项目,按紧急程度分级(2周/1-3月/3-6月/6-12月),给出复查检查项、就诊科室和准备事项(JSON + 面向受检者的复查提醒)。 It is an AI Agent Skill for Claude Code / OpenClaw, with 132 downloads so far.

How do I install unisound-recheck-reminder?

Run "/install unisound-recheck-reminder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is unisound-recheck-reminder free?

Yes, unisound-recheck-reminder is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does unisound-recheck-reminder support?

unisound-recheck-reminder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created unisound-recheck-reminder?

It is built and maintained by Unisound-LLM (@unisound-llm); the current version is v1.0.0.

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