ACMG Variant Classifier Skill

SkillDev tools

ACMG/AMP variant classification skill for systematic pathogenicity assessment

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the ACMG Variant Classifier Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/bioinformatics/skills/acmg-variant-classifier/SKILL.md and read by ahel’s review.

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)

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: acmg-variant-classifier
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter