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/family-health-analyzer/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/family-health-analyzer)<a href="https://agentmods.dev/skills/huifer/wellally-health/family-health-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/family-health-analyzer/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/family-health-analyzer"><img src="https://agentmods.dev/badge/skills/huifer/wellally-health/family-health-analyzer.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 | $0.00030 | $0.00918 |
| Opus 5.5 | $0.00012 | $0.00367 |
| Sonnet 5.5 | $0.00006 | $0.00184 |
| Haiku 4.5 | $0.00003 | $0.00092 |
Grade A, and why
family-health-analyzer 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 1mo 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.
What it actually says
家庭健康分析技能
技能概述
本技能提供家庭健康数据的深度分析,包括:
- 遗传风险评估
- 家族疾病模式识别
- 家庭共同问题分析
- 个性化预防建议
- 可视化报告生成
触发条件
当用户请求以下内容时,使用此技能:
- "家庭健康报告"
- "家族病史分析"
- "遗传风险评估"
- "家庭健康趋势"
- 执行
/family report命令 - 执行
/family risk命令
分析步骤
步骤1: 确定分析目标
识别用户请求类型:
- 家族病史分析
- 遗传风险评估
- 家庭健康趋势
- 家庭健康报告
步骤2: 读取家庭数据
数据源:
- 主数据文件:
data/family-health-tracker.json - 集成模块数据:
data/hypertension-tracker.jsondata/diabetes-tracker.jsondata/profile.json
步骤3: 数据验证与清洗
验证项目:
- 关系完整性
- 年龄合理性
- 数据一致性
步骤4: 遗传模式识别
识别算法:
- 家族聚集性分析
- 遗传模式识别
- 早发病例识别(通常<50岁)
步骤5: 风险计算算法
加权计算:
遗传风险评分 = (一级亲属患病数 × 0.4) +
(早发病例数 × 0.3) +
(家族聚集度 × 0.3)
风险等级:
- 高风险: ≥70%
- 中风险: 40%-69%
- 低风险: <40%
步骤6: 生成预防建议
建议分类:
- 筛查建议:定期检查项目
- 生活方式建议:饮食、运动、作息
- 就医建议:何时就医、咨询专科
示例:
{
"category": "screening",
"action": "定期血压监测",
"frequency": "每周3次",
"start_age": 35,
"priority": "high"
}
步骤7: 生成可视化报告
HTML报告组件:
- 家谱树(ECharts树图)
- 遗传风险热力图
- 疾病分布饼图
- 预防建议时间线
步骤8: 输出结果
输出格式:
- 文本报告(简洁版):命令行输出
- HTML报告(完整版):可视化图表
安全原则
医学安全边界
- ✅ 仅基于家族病史进行统计分析
- ✅ 提供预防建议和筛查提醒
- ✅ 明确标注不确定性
- ❌ 不进行遗传疾病诊断
- ❌ 不预测个体发病概率
- ❌ 不推荐具体治疗方案
免责声明
每次分析输出必须包含:
⚠️ 免责声明:
1. 本分析基于家族病史统计,仅供参考
2. 遗传风险评估不预测个体发病
3. 所有医疗决策请咨询专业医师
4. 遗传咨询建议咨询专业遗传咨询师
集成现有模块
- 读取高血压管理数据
- 读取糖尿病管理数据
- 关联用药记录
技能版本: v1.0 最后更新: 2025-01-08 维护者: WellAlly Tech
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.
- 1mo ago First seen · 138 lines · 30 tokens per session scan A dc80dcd0ae2d
family-health-analyzer is a skill published in the GitHub repository huifer/WellAlly-health (963 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 918 once invoked, about $0.0001 per session on Opus 5.5. 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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