model-deploy

model-deploy is an MLOps & model serving skill for AI agents, published by RHEcosystemAppEng in the agentic-plugins repository on GitHub. Skillspace rates model-deploy D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Deploy AI/ML models on OpenShift AI using KServe with vLLM, NVIDIA NIM, or Caikit+TGIS runtimes. Use when: - "Deploy Llama 3 on my cluster" - "Set up a vLLM inference endpoint" - "Deploy a model with NIM" - "Create an InferenceService for Granite" - "I need to serve a model on OpenShift AI" Handles runtime selection, GPU validation, InferenceService CR creation, and rollout monitoring. NOT for NIM platform setup (use /nim-setup first). NOT for custom runtime creation (use /serving-runtime-config).

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
44

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

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

View source on GitHubRHEcosystemAppEng/agentic-plugins

Our review

Architecture
78 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
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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