Diagnose Clickhouse Clusters

It runs standardized health checks across replication lag, disk usage, part counts, and errors, then formats the findings into clean severity tables instead of making you parse raw SQL results. The real value is the RCA mode: ask "why is part count high" and it scores potential causes with actual evidence from your cluster, not generic advice. It enforces structured output so you get concrete remediation steps rather than theory. Works well for bounded time windows if you're debugging historical incidents. Currently supports high part count and general symptoms. If you maintain ClickHouse in production and want faster triage without writing custom diagnostic queries every time, this saves repetitive work.