image-algorithm-validator
Medical image processing algorithm validation skill for segmentation, detection, and analysis algorithms
npx skills add a5c-ai/babysitter --skill image-algorithm-validator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Image Algorithm Validator Skill ## Purpose The Image Algorithm Validator Skill supports validation of medical image processing algorithms, including segmentation, detection, and analysis algorithms, ensuring performance meets clinical requirements. ## Capabilities - Ground truth dataset curation guidance - Performance metric calculation (Dice, IoU, sensitivity, specificity) - Inter-observer variability analysis - Statistical comparison methods - Validation dataset stratification - Multi-reader multi-case study design - FDA AI/ML guidance alignment - Failure case analysis - Edge case identification - Performance boundary testing - Cross-validation methodology ## Usage Guidelines ### When to Use - Validating image analysis algorithms - Curating validation datasets - Designing reader studies - Preparing regulatory submissions ### Prerequisites - Algorithm development complete - Ground truth established - Validation dataset available - Performance criteria defined ### Best Practices - Use representative, diverse datasets - Establish robust ground truth methodology - Assess performance across subgroups - Document failure modes ## Process Integration This skill integrates with the foll
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Dependencies
- Configuration
- Output Artifacts
- Quality Criteria
What does the image-algorithm-validator skill do?
Medical image processing algorithm validation skill for segmentation, detection, and analysis algorithms
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill image-algorithm-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.