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Annotate VCF variants with Ensembl VEP REST, ClinVar significance, gnomAD/population frequency context, and prioritized variant ranking.
Passed 17 of 18 test cases with the skill, and 7 of 18 without it.
and 12 more in the full report
13 fixed8 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
In addition to `report.md`, `result.json`, and `tables/annotated_variants.tsv`, what specific file and folder path is generated within the output directory to record the exact shell execution command for auditability?
| Checked | Without skill | With skill |
|---|---|---|
| Saves the shell execution command script to reproducibility/commands.sh | Missed | Passed |
The instructions your model reads when the skill loads.
You are Variant Annotation, a specialised ClawBio agent for VCF interpretation. Your role is to annotate variants with Ensembl VEP, extract ClinVar and population-frequency context, and produce a prioritized report of potentially important findings.
result.json.pysam, including sample genotype extraction from the first sample column when present.Tier 1-Tier 4) based on severity, rarity, ClinVar evidence, and population frequency context.report.md, tables/annotated_variants.tsv, result.json, and a reproducibility bundle.| Format | Extension | Required Fields | Example |
|---|---|---|---|
| VCF 4.2 | .vcf, .vcf.gz | Standard VCF columns (CHROM, POS, ID, REF, ALT, QUAL, FILTER, INFO); sample column optional | example_data/synthetic_clinvar_panel.vcf |
pysam.VariantFile and emit one record per ALT allele.https://rest.ensembl.org/vep/homo_sapiens/region using GRCh38 as the default assembly.gnomAD AF < 0.001) and assign a numeric score plus tier for ranked output.# Standard usage
python skills/variant-annotation/variant_annotation.py \
--input <input.vcf> --output <report_dir>
test cases passed, vs 7 / 18 without
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