Install Kubernetes, and related cloud-native add-ons, it supports all-in-one, multi-node, and HA 🔥 ⎈ 🐳
A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in kubekey's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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feat(cli): support --tags / --skip-tags to filter precheck categories (#3261)
fix(dns): resolve registry/NFS domains in-cluster, haproxy on loopback (#3242)
fix(cri): read the registry configuration from config_path on containerd v2 (#3257)
fix(image-registry): share the Harbor token key pair across HA instances (#3256)
feat(cri): drop cri.docker.bridge_ip, use cri.docker.daemon.bip for docker0 subnet (#3255)
fix(version): sync component version sources and pin containerd/runc to docker (#3248)
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.