Torchscript Exporter - Auto-activating skill for ML Deployment. Triggers on: torchscript exporter, torchscript exporter Part of the ML Deployment skill category.
35
3%
Does it follow best practices?
Impact
95%
0.95xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/08-ml-deployment/torchscript-exporter/SKILL.mdProduction-ready TorchScript export
Export script exists
100%
100%
Uses torch.jit API
100%
100%
Model set to eval mode
100%
100%
Model saved correctly
100%
100%
Correct output path
100%
100%
No gradients during export
100%
100%
Step-by-step documentation
100%
100%
Export log exists
100%
100%
Script is self-contained
100%
100%
Reproducibility consideration
100%
100%
Error handling present
57%
100%
Output directory created
100%
100%
TorchScript output validation
Validate script exists
100%
100%
TorchScript export step
100%
0%
Eval mode set
100%
100%
Multiple test cases
100%
100%
Numerical tolerance check
100%
100%
Max diff computed
100%
100%
Validation report exists
100%
100%
Report has pass/fail field
100%
100%
Report has tolerance field
100%
100%
Report has test count
100%
100%
No grad during inference
100%
100%
Deterministic seed
100%
100%
MLOps pipeline and serving configuration
Pipeline script exists
100%
100%
TorchScript serialization
100%
100%
Eval mode before export
100%
100%
Model artifact saved
100%
100%
Metadata file exists
100%
100%
Metadata includes version
100%
100%
Metadata includes input/output shape
100%
100%
Metadata includes export timestamp
100%
100%
Metadata includes framework version
100%
100%
Pipeline log exists
100%
100%
Log has timestamped stages
100%
100%
No gradient computation in export
100%
62%
Artifacts directory created
100%
100%
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Table of Contents
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