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Variant Interpretation Acmg

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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 --- The **Variant Interpretation Skill** automates the classification of genetic variants (Pathogenic, Benign, VUS) using a rules-based engine derived from ACMG guidelines.

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  • Added May 27, 2026
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  • cli

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Scanned May 27, 2026

npx -y skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill variant-interpretation-acmg --agent claude-code

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SKILL.md
<!--
# 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

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 -->

Files in this skill

  • README.md2 KB
  • SKILL.md1.9 KB
  • acmg_classifier.py5.1 KB
  • bioSkills/README.md3 KB
  • bioSkills/clinical-interpretation/SKILL.md9.5 KB
  • bioSkills/clinical-interpretation/examples/clinical_filter.py3.3 KB
  • bioSkills/clinical-interpretation/usage-guide.md3.5 KB
  • bioSkills/consensus-sequences/SKILL.md7.9 KB
  • bioSkills/consensus-sequences/examples/generate_consensus.sh973 B
  • bioSkills/consensus-sequences/usage-guide.md8.5 KB
  • bioSkills/deepvariant/SKILL.md7.1 KB
  • bioSkills/deepvariant/examples/run_deepvariant.sh986 B
  • bioSkills/deepvariant/usage-guide.md4.4 KB
  • bioSkills/filtering-best-practices/SKILL.md9.7 KB
  • bioSkills/filtering-best-practices/examples/filter_variants.sh1.8 KB
  • bioSkills/filtering-best-practices/usage-guide.md3.4 KB
  • bioSkills/gatk-variant-calling/SKILL.md9.4 KB
  • bioSkills/gatk-variant-calling/examples/joint_calling.sh753 B
  • bioSkills/gatk-variant-calling/examples/single_sample.sh1016 B
  • bioSkills/gatk-variant-calling/usage-guide.md3.7 KB

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