Borrowing it
Nothing to install: this file belongs to huifer/WellAlly-health. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/huifer/WellAlly-health/main/.claude/skills/emergency-card/SKILL.mdgit clone --depth 1 https://github.com/huifer/WellAlly-healthWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/huifer/wellally-health/emergency-card)<a href="https://agentmods.dev/skills/huifer/wellally-health/emergency-card"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/emergency-card/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/huifer/wellally-health/emergency-card"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/emergency-card.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00092 | $0.03928 |
| Opus 5 | $0.00046 | $0.01964 |
| Sonnet 5 | $0.00018 | $0.00786 |
| Haiku 4.5 | $0.00009 | $0.00393 |
Grade A, and why
emergency-card scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.
紧急医疗信息卡生成器
生成紧急情况下快速访问的医疗信息摘要,用于急救或就医。
核心功能
1. 紧急信息提取
从用户的健康数据中提取最关键的信息:
- 严重过敏:优先提取4级(过敏性休克)和3级过敏
- 当前用药:活跃药物的名称、剂量、频率
- 急症情况:需要紧急处理的医疗状况
- 植入物:心脏起搏器、支架等(影响检查和治疗)
- 紧急联系人:快速联系的家属信息
2. 信息优先级排序
按照医疗紧急程度对信息排序:
- P0 - 危急信息:过敏性休克、严重药物过敏、危及生命的疾病
- P1 - 重要信息:当前用药、慢性病、植入物
- P2 - 一般信息:血型、年龄、体重、最近检查
3. 多格式输出
支持多种输出格式以适应不同场景:
- HTML格式:可打印网页,使用Tailwind CSS和Lucide图标(推荐)
- JSON格式:结构化数据,便于系统集成
- 文本格式:简洁可读,适合打印携带
- PDF格式:专业打印,适合长期保存
HTML格式(新增)
生成独立的HTML文件,包含:
- Tailwind CSS样式(通过CDN)
- Lucide图标(通过CDN)
- 响应式设计
- 打印优化
- 多种尺寸变体(A4、钱包卡、大字版)
- 自动卡片类型检测(标准、儿童、老年、严重过敏)
使用方式:
# 生成标准卡片
python scripts/generate_emergency_card.py
# 指定卡片类型
python scripts/generate_emergency_card.py standard
python scripts/generate_emergency_card.py child
python scripts/generate_emergency_card.py elderly
python scripts/generate_emergency_card.py severe
# 指定打印尺寸
python scripts/generate_emergency_card.py standard a4 # A4标准
python scripts/generate_emergency_card.py standard wallet # 钱包卡
python scripts/generate_emergency_card.py standard large # 大字版(老年)
输出文件:emergency-cards/emergency-card-{variant}-{YYYY-MM-DD}.html
4. 离线可用
- 支持手机保存(相册、文件)
- 支持打印携带(钱包、包)
- 支持云端备份(可选)
使用说明
触发条件
当用户提到以下场景时,使用此技能:
- ✅ "生成紧急医疗信息卡"
- ✅ "我需要旅行,如何快速提供医疗信息"
- ✅ "把我的过敏信息整理成卡片"
- ✅ "紧急情况急救信息"
- ✅ "就医准备资料"
- ✅ "医疗信息摘要"
执行步骤
步骤 1: 读取用户基础数据
从以下数据源读取信息:
// 1. 用户档案
const profile = readFile('data/profile.json');
// 2. 过敏史
const allergies = readFile('data/allergies.json');
// 3. 当前用药
const medications = readFile('data/medications/medications.json');
// 4. 辐射记录
const radiation = readFile('data/radiation-records.json');
// 5. 手术记录(查找植入物)
const surgeries = glob('data/手术记录/**/*.json');
// 6. 出院小结(查找急症)
const dischargeSummaries = glob('data/出院小结/**/*.json');
步骤 2: 提取关键信息
2.1 基础信息
const basicInfo = {
name: profile.basic_info?.name || "未设置",
age: calculateAge(profile.basic_info?.birth_date),
gender: profile.basic_info?.gender || "未设置",
blood_type: profile.basic_info?.blood_type || "未知",
weight: `${profile.basic_info?.weight} ${profile.basic_info?.weight_unit}`,
height: `${profile.basic_info?.height} ${profile.basic_info?.height_unit}`,
bmi: profile.calculated?.bmi,
emergency_contacts: profile.emergency_contacts || []
};
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 427 lines · 92 tokens per session scan A 66fa3bc8b2b8
emergency-card is a skill published in the GitHub repository huifer/WellAlly-health (948 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 3,928 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
pdf-extract-create-workflow
Complete PDF lifecycle: download, extract, and generate structured documents with reportlab.
document-direct-python
Use direct Python execution for reliable document creation including spreadsheets, PDFs, and structured reports.
pdf-text-extraction-fallback-85d5ca
Fallback workflow for extracting text from PDFs when readfile returns binary data.