Genomics for Openclaw

A professional-grade interpretation engine for genomic variants using ACMG guidelines and pharmacogenomics databases.

ivangdavila
v1.0.0
Feb 22, 2026
1
1.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install genomics

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install genomics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Genomics?

The Genomics skill is a specialized tool designed for clinical researchers and bioinformaticians using Openclaw Skills to interpret processed genomic data. It provides a systematic framework for variant classification by applying the American College of Medical Genetics and Genomics (ACMG) guidelines, ensuring that pathogenicity is determined through rigorous, evidence-based criteria.

Beyond basic classification, this skill integrates pharmacogenomics (PGx) insights to provide actionable dosing recommendations and phenotype predictions. By maintaining a local-first architecture, it allows developers and clinicians to manage complex interpretation cases within a structured workspace while prioritizing data privacy and security.

Genomics Use Cases

  • Classifying genomic variants as Pathogenic, Likely Pathogenic, or VUS using ACMG criteria.
  • Performing population frequency filtering using gnomAD to distinguish rare disease variants from common polymorphisms.
  • Cross-referencing ClinVar, OMIM, and HGMD for comprehensive gene-disease relationship mapping.
  • Generating pharmacogenomics reports for high-priority drug-gene pairs like CYP2D6 and HLA-B*57:01.
  • Managing clinical interpretation history and evidence across multiple genomic cases in a localized environment.

How Genomics Works

  1. Initialize the local workspace at ~/genomics/ to maintain persistent context and case history.
  2. Ingest processed variant data (VCF files) for clinical and functional annotation.
  3. Verify population frequency across global and ancestry-specific databases to apply MAF thresholds.
  4. Apply weighted ACMG evidence codes (PVS1, PS1-4, etc.) to arrive at a clinical classification.
  5. Map variants to pharmacogenomic guidelines (CPIC/DPWG) to predict drug metabolism phenotypes.
  6. Generate a structured markdown report synthesizing clinical annotation and database evidence.

Genomics Setup

Read the internal setup.md for specific integration guidelines. You must provide consent for the agent to create the local workspace directory:

# The skill will request to initialize this structure
mkdir -p ~/genomics/cases
touch ~/genomics/memory.md

Ensure you have your processed VCF or variant list ready; for raw sequence alignment or variant calling, use the bioinformatics skill first.

Genomics Data Schema & Taxonomy

The skill utilizes a local file-based taxonomy to ensure data persistence and privacy:

Component Path Function
Memory File ~/genomics/memory.md Maintains global interpretation preferences and history.
Cases Directory ~/genomics/cases/ Stores individual markdown files for specific variant interpretation cases.
Templates memory-template.md Provides the schema for consistent variant evidence documentation.
References setup.md Contains the core logic and integration rules for the agent.

Genomics Advanced Features

  • Evidence-based ACMG classification logic that weights PVS, PS, PM, and PP criteria.
  • Automated mapping of CYP metabolizer statuses (Poor, Intermediate, Normal, Ultra-rapid).
  • Support for population-specific filtering to prevent bias in non-European genomic analysis.
  • Clear separation between germline and somatic contexts for accurate therapeutic selection.
  • Integration with Openclaw Skills ecosystem for clinical decision support and molecular mechanism analysis.

SKILL.md


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