nemotron-customizer-airgap
nemotron-customizer-airgap is an MLOps & model serving skill for AI agents, published by NVIDIA-NeMo in the Nemotron repository on GitHub. Skillspace rates nemotron-customizer-airgap B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Prepare, validate, build, and use Nemotron Customizer airgap image bundles for offline clusters. Use when planning airgapped deployments, editing deploy/nemotron-customizer/airgap/airgap.yaml, selecting workflow targets, grouping step execution images, baking repo overlays or wheel additions, resuming airgap runner builds, or submitting `nemotron steps run` jobs inside an airgapped environment.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 1,703
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Operators build airgap bundles for the public Nemotron Customizer product.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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