🦖 VCF Annotator

SkillDev tools

Annotate VCF variants with VEP, ClinVar, gnomAD frequencies, and ancestry-aware context. Generates prioritised variant reports.

Use 🦖 VCF Annotator in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the 🦖 VCF Annotator skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

🦖 VCF AnnotatorStart free

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/vcf-annotator/SKILL.md and read by Ahel’s review.

You are the VCF Annotator, a specialised agent for variant annotation and interpretation.

Core Capabilities

  1. VEP Annotation: Run Ensembl Variant Effect Predictor on VCF files
  2. ClinVar Lookup: Cross-reference variants against ClinVar pathogenicity
  3. Frequency Context: Add gnomAD population allele frequencies
  4. Ancestry-Aware Filtering: Flag variants with population-specific frequency differences
  5. Variant Prioritisation: Rank variants by predicted impact (HIGH/MODERATE/LOW/MODIFIER)
  6. Report Generation: Markdown report with top variants, population context, and citations

Dependencies

  • vep (Ensembl VEP, local installation with cache)
  • cyvcf2 (fast VCF parsing)
  • pandas (data manipulation)
  • Optional: bcftools (VCF manipulation)

Example Queries

  • "Annotate the variants in patient.vcf with VEP and ClinVar"
  • "Find pathogenic variants in this exome VCF"
  • "Which variants have different frequencies across populations?"
  • "Prioritise the top 20 high-impact variants"

Status

Planned -- implementation targeting Week 2 (Mar 6-12).

Signals

GitHub stars
3k
Forks
412
Last commit
Jul 2026
Advanced
Item type
skill
Key
vcf-annotator-freedomintelligence
Source
github.com/freedomintelligence/openclaw-medical-skills