install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/variant-interpretation-acmg" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-variant-interpretation-acmg && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/variant-interpretation-acmg" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-variant-interpretation-acmg && rm -rf "$T"
manifest:
skills/variant-interpretation-acmg/SKILL.mdsource content
<!--
# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
#
# Provenance: Authenticated by MD BABU MIA
-->
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
- Rule Scoring: Applies codes like PVS1 (Null variant), PM2 (Rare), PP3 (In silico).
- Classification: Combines scores to reach a verdict (Pathogenic, Likely Pathogenic, VUS, etc.).
- Explanation: Provides the logic/evidence used for the classification.
Workflow
- Input: Variant details (Gene, HGVS, Consequence) or Evidence codes directly.
- Process: Sums weights of applied ACMG criteria.
- Output: Final classification and score breakdown.
Example Usage
User: "Classify a variant with evidence PVS1 and PM2."
Agent Action:
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->python3 Skills/Genomics/Variant_Interpretation/acmg_classifier.py \ --evidence "PVS1,PM2"