bereniketech/family-health-analyzer
skills/health-wellness/family-health-analyzer/SKILL.md
分析家族病史、评估遗传风险、识别家庭健康模式、提供个性化预防建议
tools
Updated Apr 23, 2026
$ install --global
skillsauthnpx skillsauth add bereniketech/claude_kit family-health-analyzerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
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Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
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9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
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OWASP Dep-Check
50%
Last scanned: Apr 23, 2026, 8:06 AM126.9s1 file scanned
SKILL.md
- name:
- family-health-analyzer
- description:
- 分析家族病史、评估遗传风险、识别家庭健康模式、提供个性化预防建议
- allowed-tools:
- Read, Write, Grep, Glob
- risk:
- unknown
- source:
- community
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
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