Comprehensive variant filtering including GATK VQSR, hard filters, bcftools expressions, and quality metric interpretation for SNPs and indels.
SkillScore91Maintained
Automatic
◆Data Engineer pack
Last verified 8/2/2026
What it changes
Passed 21 of 23 test cases with the skill, and 15 of 23 without it.
Without skill65%
With skill91%
Checks it passed that the model alone missed
Uses INFO/TLOD>6.3 in the filtering expression.
Uses np.min(depths) >= 10 to evaluate minimum depth across all samples.
Sets the threshold condition to F_MISSING<0.05 using the inclusion flag -i.
and 4 more in the full report
6 fixed15 passed either way2 still failing0 broke
Pass-rate lift
+26 pp
Tokens
+176%
Agent turns
0%
Response time
-43%
Model gemini-3.6-flashMeasured 8/2/2026v121 of 23 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 6
Prompt
I want to filter out variant sites in `input.vcf` where more than 5% of genotypes across all samples are missing using `bcftools filter`. What is the exact keyword metric and condition to enforce this?
What was checked, without and with the skill
Checked
Without skill
With skill
Uses the F_MISSING keyword metric in the filter expression.
Passed
Passed
Sets the threshold condition to F_MISSING<0.05 using the inclusion flag -i.
Missed
Passed
case-07 · gemini-3.6-flash · 8/2/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md351 linessingle file
Variant Filtering Best Practices
Filter Selection Decision Tree
Is dataset large enough for VQSR? (>30 exomes or WGS)
├── Yes → Use VQSR (machine learning)
└── No → Use hard filters
├── Germline → GATK recommended thresholds
└── Somatic → Caller-specific filters + manual review