Prom Clinic

Paste your Prometheus config — posture, inventory, ranked findings, corrected YAML.

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Or pick files: they are read locally, nothing uploads until you run.
Context — what runs where, what is configured outside this paste
How it works

Nothing to hand? Load the — a 2s scrape interval, a basic-auth password inlined as a literal over plain HTTP, an alert with no for:, no severity and no annotations, and rule files nobody wired in — or the , where the correct verdict is production-ready and the useful output is what to add next.

1

Paste the YAML — the prescan is free

No upload, no AI: the prescan reads every scrape job, rule group, alert and recording rule in your browser and lists what it mechanically found. The unit inventory, then the flags — literal secrets, scrape or evaluation intervals under 5s, alerts without for:, severity or annotations, recording rules off the level:metric:operations convention, missing external_labels, rules pasted but not wired to rule_files or an Alertmanager, plain-HTTP scrapes of non-local targets, honor_labels: true and keep/drop relabels whose regex matches everything. Each group explains why it matters. This part costs nothing and happens while you type.

2

The AI reviews it — this is the metered part

A senior observability engineer's pass: a production-readiness posture with the single most important change named, the inventory with each unit's role, and prioritized findings across correctness, alerting, cardinality, reliability, security, cost and hygiene — each with the problem, the concrete impact (the missed page, the false page, the exploded series count, the filled disk), the fix and a corrected YAML fragment. Every prescan flag is confirmed or explicitly set aside. Findings may only cite jobs and rules that actually appear in your configuration. Pricing is honest: a worst-case amount is reserved before the run and only what the run actually uses is charged — the meter next to the button shows both.

3

Fix, export, re-run

Quick wins for the one-line changes, focus areas tied to specific findings for the real work, and the corrected YAML fragments as a commented .yaml file you can open next to your rule files — plus per-finding snippet copy, the findings table as CSV (snippet column included) and Markdown or JSON export. Signed in, every review is saved to your account and follows you between devices; run it again after your edits and the page shows what cleared, what is still open and what is new since last time, compared in your browser for free.

Derived from the @wshobson/prometheus-configuration skill (MIT license).