Analyze Family Health History and Risks
Analyzes family health history and genetic risk patterns, producing prevention recommendations and visual reports.
Why it matters
Analyze complex family health data to identify genetic risks, disease patterns, and generate personalized prevention strategies. This skill provides comprehensive reports and visualizations for informed health decisions.
Outcomes
What it gets done
Analyze family medical history for genetic predispositions.
Identify patterns of hereditary diseases within families.
Calculate weighted genetic risk scores and assign risk levels.
Generate personalized screening and lifestyle recommendations.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-family-health-analyzer | bash Overview
Home Health Analysis Skill
Analyzes family health history to identify genetic risk and disease clustering patterns, then generates a weighted risk score, categorized prevention recommendations, and visual reports. Use it when analyzing family medical history, genetic risk, or family-level health trends; it does not diagnose disease or predict individual onset.
What it does
Analyzes family health data to identify genetic risk, family disease clustering patterns, and shared health issues, then generates personalized prevention recommendations and visualization reports. Its eight-step process: determine the analysis goal (family history, genetic risk, health trends, or a full report), read family data from a main tracker file plus integrated modules (hypertension tracker, diabetes tracker, profile), validate and clean the data (relationship completeness, age plausibility, consistency), identify genetic patterns (family clustering, inheritance patterns, early-onset cases generally under age 50), calculate a weighted genetic risk score, generate categorized prevention recommendations (screening frequency, lifestyle, when to see a specialist), produce a visualization report (a family tree via ECharts, a genetic-risk heatmap, a disease-distribution pie chart, a prevention timeline), and output both a concise text report and a full HTML report.
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)
The risk score weighs first-degree-relative disease count at 40%, early-onset case count at 30%, and family clustering degree at 30%, bucketed into high risk at 70% or above, medium at 40-69%, and low under 40%. Its medical safety boundary is explicit: it performs statistical analysis on family history and offers prevention or screening suggestions only - it never diagnoses a genetic disease, predicts an individual's onset probability, or recommends a specific treatment. Every output must carry a disclaimer that the analysis is reference-only, doesn't predict individual onset, and that medical decisions require consulting a licensed physician or genetic counselor.
When to use - and when NOT to
Use it when analyzing family medical history, genetic risk, or family-level health patterns, generating a family health report, identifying family-clustered disease, or aggregating multiple family members' health data for a trend or risk assessment.
Inputs and outputs
Input: family health tracker data - a main JSON file plus hypertension-tracker, diabetes-tracker, and profile data for individual members. Output: a weighted genetic-risk score and tier, categorized prevention recommendations, and a report in both plain-text and full HTML (with family tree, risk heatmap, disease distribution, and prevention timeline visualizations), always with the required disclaimer.
Integrations
Reads from and correlates with existing hypertension-management and diabetes-management tracker modules and medication records within the same health-tracking system.
Who it's for
Users or family members wanting a statistical view of shared genetic risk and prevention priorities across a family, not an individual diagnostic tool.
FAQ
Common questions
Discussion
Questions & comments · 0
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