feat(carwash): entry-stream sampling for the review outbox; park-2 wired to the collector

The wash stream is small; the entry camera photographs every car in exactly the view the
classifier is trained on. The booth can now queue entry vehicle reads as pure training
material — crop + the camera's class, no order, no operator, no category.

- Core announces every vehicle read (deviceEvents.emitVehicleRead from snapshot.ts); the
  Car Wash module listens, samples entry reads in-process (sampleEntry: exactly one in N)
  and queues them (enqueueEntry). CARWASH_REVIEW_ENTRY_SAMPLE=N; 1 = every entry (storage
  and bandwidth are not the limit — user); 0/unset = off. Forwarded by compose.
- Packages carry kind: "wash" | "entry". Collector: kind column, entry meta validated
  without the operator fields, review screen shows an entry sample as such, export has a
  kind column, operator agreement computed from wash items only. Setup line shows
  "1 in N entries sampled"; status carries entrySample.
- komodo: park-2's four review lines enabled (collector URL by Netbird DNS name, booth-2,
  the shared per-booth secret, every entry sampled) — the collector is up on the overlay.
- Tests on both sides. Wiki: vision-review-outbox (entry stream + the internet-feed
  assessment), log.

Claude-Session: https://claude.ai/code/session_01FWncR69HgGPuei1dLrW3cU

wiki/log.md

@@ -3121,3 +3121,15 @@ the overlay address; commented `trainer` profile seam for the GPU), a third buil
 build-images.yml, and a `wash-collector` stack on `art-docker-station` in komodo/resources.toml
 (secret refs to fill). Booth payload now carries `operatorCategory.classes`. Tests: app.test.ts.
 Updated [[vision-review-outbox]], [[fleet-deployment-komodo]].
+
+## [2026-09-07] ingest | Entry-stream sampling for the review outbox
+User asked about feeding internet pictures through the collector; assessment: licensed only,
+separate folder, warm-up weight, never the evaluation set — and the stronger accelerator is the
+ENTRY stream (every car, the gate view, zero domain shift). Built: `deviceEvents.emitVehicleRead`
+from snapshot.ts (core announces; the module listens), `ReviewOutbox.sampleEntry()` (one in N,
+in-process) + `enqueueEntry()` (crop + camera class, no order/operator/category), env
+`CARWASH_REVIEW_ENTRY_SAMPLE` (compose + resources template + .env.example), packages carry
+`kind`; the collector stores kind, the review screen shows entry samples as such, export has a
+kind column, operator agreement is wash-only. Setup line shows "1 in N entries sampled". Also:
+Setup → Car wash is a two-column grid (the master-data card was squeezed at max-w-2xl). Tests
+on both sides. Updated [[vision-review-outbox]].