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npx versuz@latest install freedomintelligence-openclaw-medical-skills-skills-variant-interpretation-acmggit clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.gitcp OpenClaw-Medical-Skills/SKILL.MD ~/.claude/skills/freedomintelligence-openclaw-medical-skills-skills-variant-interpretation-acmg/SKILL.md<!--
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---
name: 'variant-interpretation-acmg'
description: 'Classifies genetic variants according to ACMG (American College of Medical Genetics) guidelines.'
measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes.
allowed-tools:
- read_file
- run_shell_command
---
# Variant Interpretation (ACMG)
The **Variant Interpretation Skill** automates the classification of genetic variants (Pathogenic, Benign, VUS) using a rules-based engine derived from ACMG guidelines.
## When to Use This Skill
* When analyzing a VCF file for clinical reporting.
* To determine the clinical significance of a specific mutation (e.g., BRCA1 c.123A>G).
* To aggregate evidence (population freq, computational predictions) into a final verdict.
## Core Capabilities
1. **Rule Scoring**: Applies codes like PVS1 (Null variant), PM2 (Rare), PP3 (In silico).
2. **Classification**: Combines scores to reach a verdict (Pathogenic, Likely Pathogenic, VUS, etc.).
3. **Explanation**: Provides the logic/evidence used for the classification.
## Workflow
1. **Input**: Variant details (Gene, HGVS, Consequence) or Evidence codes directly.
2. **Process**: Sums weights of applied ACMG criteria.
3. **Output**: Final classification and score breakdown.
## Example Usage
**User**: "Classify a variant with evidence PVS1 and PM2."
**Agent Action**:
```bash
python3 Skills/Genomics/Variant_Interpretation/acmg_classifier.py \
--evidence "PVS1,PM2"
```
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->