models-selector
models-selector is a Cloud platforms skill for AI agents, published by Azure-Samples in the Spec2Cloud repository on GitHub. Skillspace rates models-selector D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Select Microsoft Foundry models and regions, then configure azd environment variables (AZURE_LOCATION and AI_PROJECT_DEPLOYMENTS). Use when the user wants to choose, compare, or deploy AI models in Azure, set model deployments for azd provisioning, pick a region for AI workloads, or configure which models to deploy in their Azure AI Foundry project. Also use when user mentions model selection, model availability, region selection for AI, or azd env set for models.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 28
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.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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