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Travel Health Analyzer

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huifer
travel-health-analyzer

分析旅行健康数据、评估目的地健康风险、提供疫苗接种建议、生成多语言紧急医疗信息卡片。支持WHO/CDC数据集成的专业级旅行健康风险评估。

Overview

Publisherhuifer
RepositoryWellAlly-health
Skill nametravel-health-analyzer
Stars
960
Forks
123
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by huifer on GitHub. Read the source before you install it.

Installation

Install the Travel Health Analyzer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/huifer/WellAlly-health/tree/main/.claude/skills/travel-health-analyzer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/huifer/WellAlly-health.git /tmp/WellAlly-health
mkdir -p .claude/skills
cp -r /tmp/WellAlly-health/.claude/skills/travel-health-analyzer .claude/skills/travel-health-analyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Travel Health Analyzer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Travel Health Analyzer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Travel Health Analyzer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

旅行健康分析技能

🚨 重要医学免责声明

本技能提供的所有健康建议和信息仅供参考,不能替代专业医疗建议。

  • ⚠️ 所有建议必须由专业医生审核
  • ⚠️ 疫苗接种和用药方案必须由医生制定
  • ⚠️ 不提供具体的医疗处方或诊断
  • ⚠️ 健康风险数据来源于WHO/CDC,可能存在滞后性
  • ⚠️ 紧急情况下请立即就医

技能功能

1. 旅行健康规划分析

分析用户的旅行计划,提供全面的健康准备建议。

输入: 旅行目的地、日期、旅行目的 输出:

  • 目的地健康风险评估
  • 必要和推荐的疫苗接种清单
  • 旅行药箱建议清单
  • 预防措施建议
  • 旅行前准备时间表

分析要点:

  • 识别目的地传染病风险
  • 评估食物和饮水安全
  • 确认环境风险(高温、高原等)
  • 检查当前疫情爆发信息
  • 提供WHO/CDC参考链接

2. 目的地健康风险评估

基于WHO/CDC数据,对旅行目的地进行专业级健康风险评估。

数据源:

  • 世界卫生组织(WHO)国际旅行健康
  • 美国疾控中心(CDC)旅行健康
  • 当地卫生部门官方数据

评估维度:

  • 传染病风险(登革热、疟疾、霍乱、甲肝等)
  • 食物和饮水安全
  • 环境风险(高温、高原、空气污染)
  • 季节性风险
  • 当前疫情爆发警报

风险等级:

  • 🟢 低风险 - 常规预防措施
  • 🟡 中等风险 - 需要特别注意
  • 🔴 高风险 - 需要采取严格预防措施
  • ⚫ 极高风险 - 建议推迟旅行或采取特殊防护

输出格式:

markdown
## 目的地健康风险评估: Thailand

### 传染病风险
#### 🔴 登革热 - 高风险
- **传播方式**: 蚊子叮咬
- **季节性**: 全年
- **症状**: 高热、头痛、肌肉关节痛、皮疹
- **预防**: 使用防蚊液、穿长袖衣物、住宿选择有空调房间
- **数据源**: [WHO](https://www.who.int/ith) | [CDC](https://www.cdc.gov/dengue)

### 食物饮水安全
#### 🟡 中等风险
- 饮用瓶装水或煮沸的水
- 避免冰块
- 避免生食
- 水果自己剥皮

### 当前疫情警报
暂无重大疫情爆发警报

3. 疫苗接种需求分析

根据目的地和旅行计划,分析疫苗接种需求。

分析内容:

  • 必需疫苗接种(如黄热病)
  • 推荐疫苗接种(如甲肝、伤寒)
  • 疫苗接种时间规划
  • 疫苗相互作用检查
  • 接种禁忌症评估

疫苗清单模板:

json
{
  "vaccine": "甲肝疫苗",
  "status": "completed|planned|not_required|contraindicated",
  "date": "2025-06-15",
  "booster_required": false,
  "notes": "已完成接种,提供长期保护"
}

时间规划原则:

  • 出发前4-6周:完成必需疫苗接种
  • 出发前2-4周:完成推荐疫苗接种
  • 某些疫苗需要多次接种,需提前规划

4. 旅行药箱智能建议

根据目的地健康风险和个人健康状况,生成个性化旅行药箱清单。

药箱分类:

处方药
  • 个人慢性病用药(足量+额外)
  • 疟疾预防用药(如需要)
  • 其他医生开具的旅行用药
非处方药
  • 止泻药(洛哌丁胺)
  • 口服补液盐
  • 退烧止痛药(对乙酰氨基酚/布洛芬)
  • 抗过敏药(氯雷他定)
  • 晕车药
  • 抗酸药
防护用品
  • 防蚊液(DEET 20-30%)
  • 防晒霜(SPF 50+)
  • 口罩(N95)
急救用品
  • 创可贴
  • 消毒液
  • 纱布和绷带
  • 体温计
  • 小剪刀和镊子

个性化建议:

  • 根据个人疾病史调整用药
  • 根据目的地风险增减物品
  • 考虑旅行时长和活动类型

5. 用药相互作用检查

检查旅行用药与个人慢性病用药之间的潜在相互作用。

检查内容:

  • 疟疾预防用药 vs 慢性病用药
  • 旅行期间临时用药 vs 常规用药
  • 疫苗 vs 药物相互作用
  • 食物 vs 药物相互作用

常见相互作用:

  • 多西环素 vs 抗酸药、钙铁补充剂
  • 甲氟喹 vs 某些心脏病药物
  • 某些抗生素 vs 口服避孕药

输出:

markdown
## 用药相互作用检查结果

### ⚠️ 发现潜在相互作用

**多西环素 ↔ 抗酸药**
- **影响**: 抗酸药降低多西环素吸收
- **建议**: 间隔2小时服用
- **严重程度**: 中等

### ✅ 无相互作用
- 氨氯地平 vs 旅行用药无已知相互作用

6. 多语言紧急信息卡片生成

生成包含关键医疗信息的多语言紧急卡片。

支持语言:

  • 英语 (en)
  • 中文 (zh)
  • 日语 (ja)
  • 韩语 (ko)
  • 法语 (fr)
  • 西班牙语 (es)
  • 泰语 (th)
  • 越南语 (vi)

卡片内容:

markdown
---
紧急医疗信息 | EMERGENCY MEDICAL INFORMATION
---

姓名: 张三 | Name: Zhang San
血型: A+ | Blood Type: A+
出生日期: 1990-01-01 | DOB: 1990-01-01

⚠️ 过敏史 | ALLERGIES
- 青霉素 (严重: 皮疹、呼吸困难) | Penicillin (Severe: Rash, Difficulty breathing)

当前用药 | CURRENT MEDICATIONS
- 氨氯地平 5mg 每日一次 (控制血压) | Amlodipine 5mg Once daily (Blood pressure)

疾病史 | MEDICAL CONDITIONS
- 高血压 (控制中) | Hypertension (Controlled)

紧急联系人 | EMERGENCY CONTACT
- 配偶: 李四 +86-138-1234-5678 | Spouse: Li Si +86-138-1234-5678
- 医生: 王医生 +86-10-8765-4321 | Doctor: Dr. Wang +86-10-8765-4321

---
[二维码: 扫描查看完整医疗记录]
[QR Code: Scan for complete medical records]
---

二维码功能:

  • 编码关键医疗信息摘要
  • 云端访问链接(模拟)
  • 支持离线访问
  • 可分享给医护人员

7. 旅行前后健康检查

旅行前健康检查

检查内容:

  • 个人健康状况评估
  • 慢性病病情确认
  • 用药充足性检查
  • 疫苗接种确认
  • 健康建议

输出:

markdown
## 旅行前健康检查报告

### 整体评估: ✅ 适合旅行

### 健康状况
- 血压: 控制良好
- 慢性病: 稳定
- 用药: 充足

### 准备完成度
- ✅ 疫苗接种: 已完成
- ✅ 旅行药箱: 已准备
- ✅ 保险: 已购买
- ⚠️ 紧急卡片: 待生成

### 建议
1. 生成多语言紧急卡片
2. 携带足量慢性病用药
3. 旅行期间注意血压监测
旅行后健康监测

监测内容:

  • 发热监测(持续2-4周)
  • 消化系统症状
  • 皮肤异常
  • 其他不适症状

潜伏期疾病提醒:

  • 疟疾: 可在返回后数月内发病
  • 登革热: 通常3-14天
  • 伤寒: 1-3周
  • 甲肝: 2-6周

数据文件操作

读取数据

bash
# 读取旅行健康数据
Read: data/travel-health-tracker.json

# 读取示例数据
Read: data-example/travel-health-tracker.json

写入数据

bash
# 更新旅行计划
Write: data/travel-health-tracker.json

# 保存健康检查日志
Write: data/travel-health-logs/pre-trip-assessment-YYYY-MM-DD.json

数据结构验证

  • 验证必需字段存在
  • 验证日期格式正确
  • 验证枚举值有效
  • 验证数据完整性

WHO/CDC数据集成

静态数据库(当前实现)

内置常见旅行目的地健康风险数据:

  • 东南亚: 登革热、甲肝、伤寒、疟疾
  • 非洲: 疟疾、黄热病、霍乱、脑膜炎
  • 南美: 登革热、黄热病、寨卡病毒
  • 中东: 中东呼吸综合征(MERS)

数据更新: 手动更新,建议每季度更新一次

动态查询(未来扩展)

计划集成:

  • WHO疫情新闻RSS订阅
  • CDC Travel Health API
  • 当地卫生部门疫情通报

输出格式

报告格式

  • Markdown格式,便于阅读
  • 结构化,便于程序处理
  • 包含数据源引用
  • 包含时间戳

日志格式

json
{
  "log_id": "log_20250728_pretrip",
  "log_type": "pre_trip_assessment",
  "trip_id": "trip_20250801_seasia",
  "generated_at": "2025-07-28T10:00:00.000Z",
  "assessment_results": {
    "health_status": "suitable_for_travel",
    "vaccination_status": "completed",
    "risk_assessment": {...},
    "recommendations": [...]
  }
}

安全和隐私

数据保护

  • 护照号码加密存储
  • 二维码不包含完整敏感信息
  • 支持数据导出和删除

医学安全

  • 所有建议包含免责声明
  • 强调医生咨询的必要性
  • 不提供具体处方
  • 引用权威数据源

使用示例

分析旅行计划

输入: "计划2025年8月去东南亚旅游14天"

输出:
1. 目的地健康风险评估
2. 疫苗接种建议
3. 旅行药箱清单
4. 预防措施
5. 时间表

生成紧急卡片

输入: "生成英中日泰四语紧急卡片"

输出:
1. 多语言卡片文本
2. 二维码(描述)
3. 保存建议

评估健康风险

输入: "评估泰国的健康风险"

输出:
1. 传染病风险清单
2. 食物饮水安全建议
3. 环境风险
4. 当前疫情警报
5. WHO/CDC参考链接

版本: v1.0.0 最后更新: 2025-01-08 维护者: WellAlly Tech

Frequently asked questions

What does the Travel Health Analyzer AI skill do?

分析旅行健康数据、评估目的地健康风险、提供疫苗接种建议、生成多语言紧急医疗信息卡片。支持WHO/CDC数据集成的专业级旅行健康风险评估。

Why use Travel Health Analyzer on TypingMind?

Because you install it once and use it with any model. Travel Health Analyzer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Travel Health Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huifer/WellAlly-health/tree/main/.claude/skills/travel-health-analyzer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Travel Health Analyzer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Travel Health Analyzer?

As many as you like. As long as a model supports skills, you can use Travel Health Analyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Travel Health Analyzer AI skill free?

Yes. It is published on GitHub by huifer under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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