module-onboarding
module-onboarding is a Containers & Kubernetes skill for AI agents, published by opendatahub-io in the odh-dashboard repository on GitHub. Skillspace rates module-onboarding C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Scaffold a new federated module under packages/. Runs mod-arch-installer, allocates ports, registers the feature flag and SupportedArea in the host, verifies the build (type-check, port validation, container image). Pass the module name in kebab-case as the argument.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 58
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 92 / 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
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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