kubesearch
kubesearch is a Containers & Kubernetes skill for AI agents, published by ionfury in the homelab repository on GitHub. Skillspace rates kubesearch D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Search kubesearch.dev to research how other homelabs configure Helm charts. Use when: (1) Configuring a new Helm release, (2) Looking for configuration examples, (3) Comparing approaches across repositories, (4) Needing real-world values.yaml patterns, (5) Researching best practices for specific charts, (6) Finding example implementations. Triggers: "how do others configure", "show me examples", "helm chart examples", "configuration examples", "values.yaml examples", "kubesearch", "homelab examples", "how do other homelabs", "real-world config", "chart configuration", "helm values examples", "compare helm configs", "best practices for helm"
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 25
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.
Our review
- Architecture
- 82 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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