nim-setup

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

Configure NVIDIA NIM platform on OpenShift AI for optimized model inference. Use when: - "Set up NIM on my cluster" - "Configure NGC credentials for NIM" - "I want to deploy a NIM model but haven't set up the platform" - "Create the NIM Account CR" One-time prerequisite before deploying models with NVIDIA NIM runtime via /model-deploy. NOT for deploying models (use /model-deploy instead). NOT for vLLM or Caikit deployments (NIM-specific only).

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

  • Category is a classifier prediction; no model has read this skill 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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