Add governed buildings register snapshot

scripts/README.md

@@ -1481,6 +1481,33 @@ Datasets. `--force` refreshes retained evidence but cannot silently replace a
 conflicting persisted annual checksum. Use `--scope mol` for an independent
 municipal series.
 
+## Buildings and Addresses Register snapshot
+
+Prepare and audit the current official Mol snapshot without persistence:
+
+```bash
+docker exec geointel python /app/scripts/provision_buildings_addresses_register.py --fetch-only
+```
+
+Import the audited artifact through the canonical Dataset upload route:
+
+```bash
+docker exec geointel python /app/scripts/provision_buildings_addresses_register.py
+```
+
+The operator requires a persisted Mol Area and the complete regional GRB
+buildings Dataset with valid manifest/partition checksums. It reads only the
+official `Gebouw`, `Gebouweenheid` and `Adres` OGC collections, clips in
+EPSG:31370 and retains every raw response page under the storage volume.
+`--force` refetches evidence; it cannot overwrite a conflicting snapshot for
+the same Area/date. Safety limits are configurable with `--page-limit`,
+`--max-buildings`, `--max-units` and `--max-addresses`.
+
+Only aggregate unit/address counts enter the queryable building layer. Review
+`address_relations`, `grb_reconciliation`, checksums and limitations in the
+manifest before accepting a broader import. Raw address response pages are
+operator evidence and must not be published.
+
 ## Tower deployment
 
 Push the local branch to Gitea, then rebuild the Unraid/Tower Docker runtime:

scripts/run_readiness_check.sh

@@ -50,6 +50,7 @@ ${PYTHON_BIN} -m py_compile scripts/provision_official_landuse_timeseries.py
 ${PYTHON_BIN} -m py_compile scripts/provision_waterinfo_station_history.py
 ${PYTHON_BIN} -m py_compile scripts/provision_mol_bwk_natura2000.py
 ${PYTHON_BIN} -m py_compile scripts/provision_agricultural_parcel_history.py
+${PYTHON_BIN} -m py_compile scripts/provision_buildings_addresses_register.py
 ${PYTHON_BIN} -m py_compile scripts/provision_regional_timeseries.py
 ${PYTHON_BIN} -m py_compile scripts/geographic_scopes.py
 ${PYTHON_BIN} -m py_compile scripts/provision_geographic_scope.py