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Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role.
Passed 12 of 21 test cases with the skill, and 8 of 21 without it.
and 4 more in the full report
6 fixed7 passed either way8 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am getting ready to launch SageMaker jobs. Can you ask me for my IAM Execution Role ARN so we can proceed?
| Checked | Without skill | With skill |
|---|---|---|
| Attempts programmatic resolution of the SageMaker execution role before asking the user to input an ARN | Missed | Passed |
The instructions your model reads when the skill loads.
Preflight checks to verify the user's environment can run SageMaker AI operations. The agent runs these checks directly (no code generation) and stores results in conversation context for downstream skills.
Read and follow references/sagemaker-python-sdk-setup.md.
references/sagemaker-python-sdk-setup.md - SageMaker Python SDK version, region, and execution role checksreferences/execution-role-setup.md — Execution role resolution and validationtest cases passed, vs 8 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.