armored-cart-design-agent
Design armored CAR-T cells with cytokine payloads and resistance mechanisms.
Maintainer FreedomIntelligence · Last updated April 1, 2026
Filter and prioritize variants by pathogenicity, population frequency, and clinical evidence for rare disease analysis. Use when identifying candidate disease-causing variants from exome or genome sequencing.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-clinical-databases-variant-prioritization
Skill Snapshot
Source Doc
Goal: Score variants using ACMG-style evidence criteria for pathogenicity assessment.
Approach: Evaluate PM2 (population rarity) and PVS1 (loss-of-function) evidence, then compute a weighted priority score.
Goal: Prioritize variants using aggregated evidence from ClinVar, gnomAD, CADD, and REVEL in a single query.
Approach: Fetch annotations via myvariant.info, then compute a composite priority score weighting clinical, population, and computational evidence.
Goal: Filter variants by expected inheritance pattern (autosomal dominant, recessive, or X-linked).
Approach: Select heterozygous ultra-rare variants for AD, or homozygous plus compound heterozygous candidates for AR.
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