Agent skill · AI & Agents

aiml-validation-framework

AI/ML medical device validation skill implementing FDA's GMLP principles

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill aiml-validation-framework --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Allowed tools: -Read-Write-Glob-Grep-Edit-Bash
Path: library/specializations/domains/science/biomedical-engineering/skills/aiml-validation-framework/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

# AI/ML Validation Framework Skill ## Purpose The AI/ML Validation Framework Skill supports validation of AI/ML-enabled medical devices per FDA Good Machine Learning Practice (GMLP) principles, addressing data quality, model performance, and predetermined change control. ## Capabilities - Training data quality assessment - Ground truth labeling validation - Model performance metrics calculation (AUC, sensitivity, specificity) - Subgroup performance analysis - Bias and fairness evaluation - Predetermined change control plan (PCCP) templates - Clinical validation study design - Locked algorithm vs. adaptive documentation - Model explainability documentation - Performance monitoring planning - Real-world performance tracking ## Usage Guidelines ### When to Use - Validating AI/ML algorithms - Assessing training data quality - Planning clinical validation studies - Preparing FDA AI/ML submissions ### Prerequisites - Algorithm development complete - Training/test datasets curated - Ground truth established - Intended use clearly defined ### Best Practices - Document data management practices - Validate on diverse populations - Plan for performance monitoring - Consider predetermined chan

What's inside
Steps it walks through
  1. Purpose
  2. Capabilities
  3. Usage Guidelines
  4. When to Use
  5. Prerequisites
  6. Best Practices
  7. Process Integration
  8. Dependencies
  9. Configuration
  10. Output Artifacts
  11. Quality Criteria
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About this skill
What does the aiml-validation-framework skill do?

AI/ML medical device validation skill implementing FDA's GMLP principles

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill aiml-validation-framework --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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