Atlas / Skills / freedomintelligence / Variant Normalization

Variant NormalizationSAFE

skills/freedomintelligence/variant-normalization

The largest open-source medical AI skills library for OpenClaw🦞.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
—
Stars
3,053
01

Overview

The largest open-source medical AI skills library for OpenClaw🦞.

Read from source at commit 29f31a89230cOBSERVED · 2026-10-08
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

<!--
# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <[email protected]>
# 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: bio-variant-normalization
description: Normalize indel representation and split multiallelic variants using bcftools norm. Use when comparing variants from different callers or preparing VCF for downstream analysis.
tool_type: cli
primary_tool: bcftools
measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes.
allowed-tools:
  - read_file
  - run_shell_command
---

# Variant Normalization

Left-align indels and split multiallelic sites using bcftools norm.

## Why Normalize?

The same variant can be represented multiple ways:

```
# Same deletion, different representations
chr1  100  ATCG  A      (right-aligned)
chr1  100  ATC   A      (left-aligned, normalized)
chr1  101  TCG   T      (different position)
```

Normalization ensures consistent representation for:
- Comparing variants from different callers
- Database lookups (dbSNP, ClinVar)
- Merging VCF files

## bcftools norm

### Left-Align Indels

```bash
bcftools norm -f reference.fa input.vcf.gz -Oz -o normalized.vcf.gz
```

Requires reference FASTA to determine left-most representation.

### Check for Normalization Issues

```bash
bcftools norm -f reference.fa -c s input.vcf.gz > /dev/null
# Reports REF allele mismatches
```

Check modes (`-c`):
- `w` - Warn on mismatch (default)
- `e` - Error on mismatch
- `x` - Exclude mismatches
- `s` - Set correct REF from reference

## Multiallelic Sites

### Split Multiallelic to Biallelic

```bash
bcftools norm -m-any input.vcf.gz -Oz -o split.vcf.gz
```

Before:
```
chr1  100  .  A  G,T  30  PASS  .  GT  1/2
```

After:
```
chr1  100  .  A  G  30  PASS  .  GT  1/0
chr1  100  .  A  T  30  PASS  .  GT  0/1
```

### Split SNPs Only

```bash
bcftools norm -m-snps input.vcf.gz -Oz -o split_snps.vcf.gz
```

### Split Indels Only

```bash
bcftools norm -m-indels input.vcf.gz -Oz -o split_indels.vcf.gz
```

### Join Biallelic to Multiallelic

```bash
bcftools norm -m+any input.vcf.gz -Oz -o merged.vcf.gz
```

## Split Options

| Option | Description |
|--------|-------------|
| `-m-any` | Split all multiallelic sites |
| `-m-snps` | Split multiallelic SNPs only |
| `-m-indels` | Split multiallelic indels only |
| `-m-both` | Split SNPs and indels separately |
| `-m+any` | Join biallelic sites into multiallelic |
| `-m+snps` | Join biallelic SNPs |
| `-m+indels` | Join biallelic indels |
| `-m+both` | Join SNPs and indels separately |

## Combined Normalization

### Standard Normalization Pipeline

```bash
bcftools norm -f reference.fa -m-any input.vcf.gz -Oz -o normalized.vcf.gz
bcftools index normalized.vcf.gz
```

This:
1. Left-aligns indels
2. Splits multiallelic sites

### Remove Duplicates After Splitting

```bash
bcftools norm -f reference.fa -m-any -d exact input.vcf.gz -Oz -o normalized.vcf.gz
```

Duplicate removal options (`-d`):
- `exact` - Remove exact duplicates
- `snps` - Remove duplicate SNPs
- `indels` - Remove duplicate indels
- `both` - Remove duplicate SNPs and indels
- `all` - Remove all duplicates
- `none` - Keep duplicates (default)

## Fixing Reference Alleles

### Fix Mismatches from Reference

```bash
bcftools norm -f reference.fa -c s input.vcf.gz -Oz -o fixed.vcf.gz
```

This sets REF alleles to match the reference genome.

### Exclude Mismatches

```bash
bcftools norm -f reference.fa -c x input.vcf.gz -Oz -o clean.vcf.gz
```

Removes variants where REF doesn't match reference.

## Atomize Complex Variants

### Split MNPs to SNPs

```bash
bcftools norm --atomize input.vcf.gz -Oz -o atomized.vcf.gz
```

Before:
```
chr1  100  .  ATG  GCA  30  PASS
```

After:
```
chr1  100  .  A  G  30  PASS
chr1  101  .  T  C  30  PASS
chr1  102  .  G  A  30  PASS
```

### Atomize and Left-Align

```bash
bcftools norm -f reference.fa --atomize input.vcf.gz -Oz -o atomized.vcf.gz
```

## Old to New Format

### Update VCF Version

```bash
bcftools norm --old-rec-tag OLD input.vcf.gz -Oz -o updated.vcf.gz
```

Tags original record for reference.

## Common Workflows

### Before Comparing Callers

```bash
# Normalize both VCFs the same way
for vcf in caller1.vcf.gz caller2.vcf.gz; do
    base=$(basename "$vcf" .vcf.gz)
    bcftools norm -f reference.fa -m-any "$vcf" -Oz -o "${base}.norm.vcf.gz"
    bcftools index "${base}.norm.vcf.gz"
done

# Now compare
bcftools isec -p comparison caller1.norm.vcf.gz caller2.norm.vcf.gz
```

### Before Database Annotation

```bash
bcftools norm -f reference.fa -m-any variants.vcf.gz -Oz -o normalized.vcf.gz
bcftools index normalized.vcf.gz
# Now annotate against dbSNP, ClinVar, etc.
```

### Prepare for GWAS

```bash
bcftools norm -f reference.fa -m-any -d exact input.vcf.gz | \
    bcftools view -v snps -Oz -o gwas_ready.vcf.gz
bcftools index gwas_ready.vcf.gz
```

## cyvcf2 Normalization Check

### Check if Variants Need Normalization

```python
from cyvcf2 import VCF

def needs_normalization(variant):
    # Check for multiallelic
    if len(variant.ALT) > 1:
        return True

    # Check for complex variants (potential MNPs)
    ref, alt = variant.REF, variant.ALT[0]
    if len(ref) > 1 and len(alt) > 1 and len(ref) == len(alt):
        return True

    return False

count = 0
for variant in VCF('input.vcf.gz'):
    if needs_normalization(variant):
        count += 1

print(f'Variants needing normalization: {count}')
```

### Count Multiallelic Sites

```python
from cyvcf2 import VCF

multiallelic = 0
total = 0

for variant in VCF('input.vcf.gz'):
    total += 1
    if len(variant.ALT) > 1:
        multiallelic += 1

print(f'Total variants: {total}')
print(f'Multiallelic sites: {multiallelic}')
print(f'Percentage: {multiallelic/total*100:.1f}%')
```

## Quick Refer
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

LOWInventory / provenance · skill.no_frontmatter · CWE-1104
SKILL.md:1
Why it matters. SKILL.md lacks name/description frontmatter

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha 29f31a89230cfull audit observations/trust-audit/skill/freedomintelligence__variant-normalization.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-0829f31a89230cSAFEB89first audit
05

Questions

What does the Variant Normalization skill do?

The largest open-source medical AI skills library for OpenClaw🦞.

Is Variant Normalization safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Variant Normalization access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (29f31a89230c), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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