serving-runtime-config

serving-runtime-config is an MLOps & model serving skill for AI agents, published by RHEcosystemAppEng in the agentic-plugins repository on GitHub. Skillspace rates serving-runtime-config D (69/100) and it passed the safety scan; the rating is based on static analysis only.

Configure custom ServingRuntime CRs on OpenShift AI for model serving frameworks not covered by built-in runtimes. Use when: - "Create a custom serving runtime" - "I need a runtime for ONNX / Triton / custom framework" - "Customize vLLM runtime parameters" - "What serving runtimes are available?" - "Add a custom container image for model serving" Handles listing existing runtimes, creating new ServingRuntime CRs, and validating compatibility with target models. NOT for deploying models (use /model-deploy after runtime is configured). NOT for NIM platform setup (use /nim-setup).

Grade
D
Quality
69 / 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
No issues found
License
Not declared. Check the repository before reusing it.
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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