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Vcf Annotator

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

Version1.0.0
LicenseMIT
Token count~487
UpdatedJun 5, 2026

Install

Quick install

via npx skills · works with 57+ agents
npx skills add https://github.com/ClawBio/ClawBio
Or pick agent:
npx skills add ClawBio/ClawBio --agent claude-code
npx skills add ClawBio/ClawBio --agent cursor
npx skills add ClawBio/ClawBio --agent codex
npx skills add ClawBio/ClawBio --agent opencode
npx skills add ClawBio/ClawBio --agent github-copilot
npx skills add ClawBio/ClawBio --agent windsurf
More install options

Shorthand — useful for multi-skill repos:

npx skills add ClawBio/ClawBio

Manual — clone the repo and drop the folder into your agent's skills directory:

git clone https://github.com/ClawBio/ClawBio.git
cp -r ClawBio ~/.claude/skills/
How to use: Once installed, ask your agent to "use the Vcf Annotator skill" or describe what you want (e.g. "Annotate VCF variants with VEP, ClinVar, gnomAD frequencies, and ancestry-aware"). Requires Node.js 18+.

Vcf Annotator

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

---
name: vcf-annotator
description: Annotate VCF variants with VEP, ClinVar, gnomAD frequencies, and ancestry-aware context. Generates prioritised variant reports.
version: 0.1.0
metadata:
openclaw:
requires:
bins:


  • python3

  • vep


env: []
config: []
always: false
emoji: "🦖"
homepage: https://github.com/ClawBio/ClawBio
os: [macos, linux]
install:

  • kind: uv


package: cyvcf2
bins: []

  • kind: uv


package: pandas
bins: []
---

🦖 VCF Annotator

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).

---

Source: https://github.com/ClawBio/ClawBio
Author: FreedomIntelligence
Discovered via: skillsdirectory.com
Genre: data-ai

SKILL.md source

---
name: Vcf Annotator
description: Annotate VCF variants with VEP, ClinVar, gnomAD frequencies, and ancestry-aware context. Generates prioritised variant reports.
---

# Vcf Annotator

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

---
name: vcf-annotator
description: Annotate VCF variants with VEP, ClinVar, gnomAD frequencies, and ancestry-aware context. Generates prioritised variant reports.
version: 0.1.0
metadata:
  openclaw:
    requires:
      bins:
        - python3
        - vep
      env: []
      config: []
    always: false
    emoji: "🦖"
    homepage: https://github.com/ClawBio/ClawBio
    os: [macos, linux]
    install:
      - kind: uv
        package: cyvcf2
        bins: []
      - kind: uv
        package: pandas
        bins: []
---

# 🦖 VCF Annotator

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).


---

**Source**: https://github.com/ClawBio/ClawBio
**Author**: FreedomIntelligence
**Discovered via**: skillsdirectory.com
**Genre**: data-ai

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