Agent skill · AI & Agents

giab-benchmark-validator

Genome in a Bottle benchmark validation skill for pipeline accuracy assessment

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill giab-benchmark-validator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 1.0
Allowed tools: -Read-Write-Glob-Grep-Edit-WebFetch
Path: library/specializations/domains/science/bioinformatics/skills/giab-benchmark-validator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# GIAB Benchmark Validator Skill ## Purpose Enable Genome in a Bottle benchmark validation for pipeline accuracy assessment. ## Capabilities - Truth set comparison - hap.py/vcfeval execution - Sensitivity/specificity calculation - Stratified performance metrics - Difficult region analysis - Validation report generation ## Usage Guidelines - Use appropriate GIAB reference samples - Compare against truth sets with hap.py - Calculate sensitivity and specificity - Stratify by region type and variant class - Analyze performance in difficult regions - Generate comprehensive validation reports ## Dependencies - hap.py - vcfeval - GIAB resources ## Process Integration - Analysis Pipeline Validation (pipeline-validation) - Whole Genome Sequencing Pipeline (wgs-analysis-pipeline)

What's inside
Steps it walks through
  1. Purpose
  2. Capabilities
  3. Usage Guidelines
  4. Dependencies
  5. Process Integration
More from babysitter
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About this skill
What does the giab-benchmark-validator skill do?

Genome in a Bottle benchmark validation skill for pipeline accuracy assessment

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill giab-benchmark-validator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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