validation-scripts - Validate ML Training Data and Pipelines
Validates datasets, model checkpoints, training and inference pipelines, system dependencies, and GPU availability for ML projects.
Tags
Updated: 2026-10-02Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Validate dataset formats
- Check data quality
- Validate model checkpoints
- Test inference readiness
- Test training pipelines
- Check system dependencies
- Check GPU availability
- Generate validation reports
Inputs
- Dataset paths
- Model checkpoint paths
- Pipeline configuration
- Sample test data
- Validation schemas
- ML framework selection
- Dependency requirements
- Tokenizer and inference inputs
Outputs
- Validation status
- Validation reports
- Validation errors
- Model integrity results
- Pipeline test results
- Dependency status
- GPU availability status
Requirements
- Bash shell
- Access to validation scripts
- Required ML packages
- Readable input resources
- Writable report destinations
- GPU when required by checks