The Agent Skills Directory

[SAFE]: The skill serves as a technical reference for MLOps on AWS, providing architectural patterns and code snippets for model training, deployment, and monitoring using the SageMaker Python SDK and AWS CLI.- [SAFE]: External references to Docker images in references/training-patterns.md target official AWS Deep Learning Container registries (763104351884.dkr.ecr.us-east-1.amazonaws.com), which are well-known and trusted infrastructure sources.- [SAFE]: CI/CD recipes in references/pipeline-recipes.md recommend using standard GitHub Actions from verified organizations (actions/checkout, aws-actions/configure-aws-credentials, actions/setup-python), which is a safe and common practice for automated ML pipelines.- [SAFE]: The skill demonstrates safe credential management by utilizing IAM roles and environment variables rather than hardcoding sensitive keys or tokens.- [SAFE]: No patterns of prompt injection, data exfiltration, or code obfuscation were identified across the skill body or reference documentation.

mlops