acmg-variant-classifier
ACMG/AMP variant classification skill for systematic pathogenicity assessment
npx skills add a5c-ai/babysitter --skill acmg-variant-classifier --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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)
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the acmg-variant-classifier skill do?
ACMG/AMP variant classification skill for systematic pathogenicity assessment
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill acmg-variant-classifier --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.