{"slug":"aws-samples-sagemaker-deploy","source_name":"aws-samples/sagemaker-deploy","name":"AWS Samples/Sagemaker Deploy","description":"Stage any supported open-weight Hugging Face model directly into Amazon S3 and deploy it to an Amazon SageMaker AI real-time endpoint with a compatible vLLM or SGLang Deep Learning Container. Use for model hosting, endpoint creation, direct-to-S3 transfer, smoke testing, and deployment cleanup.","version":1,"lift":{"pass_rate_delta_pts":54.55,"pass_rate_pct":86.4,"total_cases":22,"passed_cases":19,"tokens_delta_pct":51.2,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-04T12:08:36.499342+00:00"},"skill_score":0.8636,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":54.55,"with_pass_pct":86.4,"without_pass_pct":31.8,"tokens_delta_pct":51.2,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":19,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-04T12:08:36.499342+00:00","run_id":"107fdb02-3949-4ae7-ada3-a8013aab542d","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT-0","install_count":0,"manifest_hash":"63e0b012ad426eed7e67da32d1f848c37e94c010ab310f43e9869434960dd320","raw_url":"https://app.decimal.ai/s/aws-samples-sagemaker-deploy/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/aws-samples-sagemaker-deploy"}