Agent skill · Code Review & Quality

bio-gatk-variant-calling

Variant calling with GATK HaplotypeCaller following best practices. Covers germline SNP/indel calling, GVCF workflow for cohorts, joint genotyping, and variant quality score recalibration (VQSR). Use when calling variants with GATK HaplotypeCaller.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-gatk-variant-calling --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 11 KB
Bundled scripts: yes
Path: skills/bio-gatk-variant-calling/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: GATK 4.5+, bcftools 1.19+ Before using code patterns, verify installed versions match. If versions differ: - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # GATK Variant Calling GATK HaplotypeCaller is the gold standard for germline variant calling. This skill covers the GATK Best Practices workflow. ## Prerequisites BAM files should be preprocessed: 1. Mark duplicates 2. Base quality score recalibration (BQSR) - optional but recommended ## Single-Sample Calling **Goal:** Call germline SNPs and indels from a single sample using HaplotypeCaller. **Approach:** Run local de novo assembly of haplotypes in active regions to detect variants with optional annotation enrichment. **"Call variants from my BAM file using GATK"** → Perform local haplotype assembly and genotyping on aligned reads using HaplotypeCaller. ### Basic HaplotypeCaller ```bash gatk HaplotypeCaller \ -R reference.fa \ -I sample.bam \ -O sample.vcf.gz ``` ### With Standard Annotations ```bash

What's inside
Steps it walks through
  1. Version Compatibility
  2. Prerequisites
  3. Single-Sample Calling
  4. Basic HaplotypeCaller
  5. With Standard Annotations
  6. Target Intervals (Exome/Panel)
  7. Adjust Calling Confidence
  8. GVCF Workflow (Recommended for Cohorts)
  9. Step 1: Generate GVCFs per Sample
  10. Step 2: Combine GVCFs (GenomicsDBImport)
  11. Alternative: CombineGVCFs (smaller cohorts)
  12. Step 3: Joint Genotyping
  13. Variant Quality Score Recalibration (VQSR)
  14. SNP Recalibration
Ships with 3 files
  • examples/joint_calling.sh
  • examples/single_sample.sh
  • usage-guide.md
Commands it runs
gatk HaplotypeCaller \
Create sample map file
sample1    /path/to/sample1.g.vcf.gz
sample2    /path/to/sample2.g.vcf.gz
gatk GenomicsDBImport \
gatk CombineGVCFs \
From GenomicsDB
gatk GenotypeGVCFs \
From combined GVCF
Build SNP model
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-gatk-variant-calling skill do?

Variant calling with GATK HaplotypeCaller following best practices. Covers germline SNP/indel calling, GVCF workflow for cohorts, joint genotyping, and variant quality score recalibration (VQSR). Use when calling variants with GATK HaplotypeCaller.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-gatk-variant-calling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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