Babysitter acmg-variant-classifier
ACMG/AMP variant classification skill for systematic pathogenicity assessment
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/bioinformatics/skills/acmg-variant-classifier" ~/.claude/skills/a5c-ai-babysitter-acmg-variant-classifier && rm -rf "$T"
manifest:
library/specializations/domains/science/bioinformatics/skills/acmg-variant-classifier/SKILL.mdsource content
ACMG Variant Classifier Skill
Purpose
Enable ACMG/AMP variant classification for systematic pathogenicity assessment following clinical guidelines.
Capabilities
- Automated evidence criteria application
- Population frequency filtering
- In silico prediction integration
- Literature evidence curation
- Inheritance pattern analysis
- Classification report generation
Usage Guidelines
- Apply ACMG criteria systematically
- Document evidence for each criterion
- Consider inheritance patterns in assessment
- Review literature for supporting evidence
- Generate clear classification reports
- Track classification changes over time
Dependencies
- InterVar
- VarSome API
- ClinVar
Process Integration
- Clinical Variant Interpretation (clinical-variant-interpretation)
- Rare Disease Diagnostic Pipeline (rare-disease-diagnostics)
- Newborn Screening Genomics (newborn-screening-genomics)