inference

inference is an MLOps & model serving skill for AI agents, published by NVIDIA-NeMo in the nemo-platform repository on GitHub. Skillspace rates inference F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

End-to-end reference for inference on the NeMo platform — registering LLM backends as ModelProviders, wiring them to VirtualModels with Switchyard middleware (random routing, translate) and `nemo-guardrails` content-safety rails, and hitting them via the nemo CLI. Use when the task involves registering inference providers, discovering served models, creating VirtualModels, configuring switchyard middleware, layering guardrails alongside translate (correct middleware ordering for OpenAI/Anthropic cross-format setups), making inference calls through IGW, or debugging routing and translation failures locally. For platform startup, Switchyard install, and DB-reset prerequisites, see the setup playbook (`SETUP.md` at the repo root).

Grade
F
Quality
15 / 100
Safety
Unsafe
GitHub stars
47

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.

Our review

Architecture
73 / 100
Maturity
Basic: a single SKILL.md
Security scan
Critical-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • destructive rm -rf on home/root
  • references sensitive credential env
  • 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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