tooluniverse-polygenic-risk-score

The skill footprint is coherent with its stated educational/research purpose: it reads user genotype data, uses public GWAS-based weights to compute a PRS, standardizes to z-scores, and interprets percentile-based risk. There are no evident credential or secret handling, and input/output flows align with the goal. Privacy considerations are important given genetic data, so explicit data-handling policies should be communicated and enforced. Overall, the risk footprint is Benign with respect to security; no suspicious external exfiltration patterns are indicated.