deploy-sagemaker

deploy-sagemaker is an MLOps & model serving skill for AI agents, published by aws-solutions-library-samples in the sample-voice-agent repository on GitHub. Skillspace rates deploy-sagemaker D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Deploys the voice agent to AWS with self-hosted Deepgram STT/TTS on SageMaker GPU endpoints. Guides through GPU quota checks, Marketplace subscriptions, model package ARN configuration, and CDK deployment. Use for production deployments or when audio must stay within the VPC.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
46

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubaws-solutions-library-samples/sample-voice-agent

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT-0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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