Skip null SLOs in boundary repeats

runs/frontier-multicase-sufficiency-v0/best_effort/fixed_cohort_rank.py

@@ -52,7 +52,7 @@ PROTOCOL_SCHEMA = "qwen235b-prefill-fixed-cohort-protocol-v1"
 FRONTIER_SCHEMA = "frontier-qwen235b-prefill-fixed-cohort-v1"
 COMMUNITY_SCHEMA = "community-qwen235b-prefill-fixed-cohort-v1"
 COMPARISON_SCHEMA = "frontier-community-qwen235b-rank-comparison-v1"
-REPEAT_SELECTION_SCHEMA = "community-qwen235b-boundary-repeat-selection-v3"
+REPEAT_SELECTION_SCHEMA = "community-qwen235b-boundary-repeat-selection-v4"
 COHORT_SIZE = 64
 COHORT_SEED = 2026071501
 CONFIG_ORDER_SEED = 2026071502
@@ -906,6 +906,13 @@ def _boundary_repeat_rates(
     return sorted(selected)
 
 
+def _slo_has_feasible_load(config_result: dict[str, Any], *, slo_name: str) -> bool:
+    return any(
+        bool(load["scores"][slo_name]["feasible"])
+        for load in config_result["loads"]
+    )
+
+
 def prepare_community_repeat(args: argparse.Namespace) -> Path:
     """Prepare a fresh-server reverse-order repeat of decision-boundary loads."""
     source_manifest = json.loads(args.source_manifest.read_text())
@@ -958,10 +965,21 @@ def prepare_community_repeat(args: argparse.Namespace) -> Path:
         reversed(first_execution_order), start=1
     ):
         name = source_record["config"]["name"]
-        boundary_rates_by_slo = {
-            slo_name: _boundary_repeat_rates(
+        excluded_unrankable_slos = [
+            slo_name
+            for slo_name in SLO_VARIANTS
+            if not _slo_has_feasible_load(
                 first_results[name], slo_name=slo_name
             )
+        ]
+        boundary_rates_by_slo = {
+            slo_name: (
+                []
+                if slo_name in excluded_unrankable_slos
+                else _boundary_repeat_rates(
+                    first_results[name], slo_name=slo_name
+                )
+            )
             for slo_name in SLO_VARIANTS
         }
         boundary_rates = sorted(
@@ -1003,6 +1021,7 @@ def prepare_community_repeat(args: argparse.Namespace) -> Path:
         selections.append(
             {
                 "config": name,
+                "excluded_unrankable_slos": excluded_unrankable_slos,
                 "boundary_rates_by_slo": boundary_rates_by_slo,
                 "boundary_rates": boundary_rates,
                 "added_refinement_rates": refinement_rates,
@@ -1044,6 +1063,7 @@ def prepare_community_repeat(args: argparse.Namespace) -> Path:
         "execution_contract": {
             "schema": REPEAT_SELECTION_SCHEMA,
             "selection": "all_adjacent_pre_registered_slo_feasibility_transitions_plus_between_rate_refinement",
+            "unrankable_slo_policy": "exclude_per_config_surfaces_with_no_feasible_load",
             "fallback_when_no_transition": "top_two_if_all_feasible_else_bottom_two",
             "config_order": "reverse_of_first_pass",
             "rate_order": "reverse_first_pass_boundary_order_then_descending_refinement_rates",

runs/frontier-multicase-sufficiency-v0/best_effort/test_fixed_cohort_rank.py

@@ -265,6 +265,13 @@ def test_boundary_repeat_rates_keep_every_transition_and_censored_fallback() ->
     assert MODULE._boundary_repeat_rates(
         sensitivity, slo_name="linear_6k"
     ) == [0.3, 0.4]
+    assert MODULE._slo_has_feasible_load(
+        sensitivity, slo_name="linear_6k"
+    )
+    assert not MODULE._slo_has_feasible_load(
+        result([False, False, False, False]),
+        slo_name=MODULE.PRIMARY_SLO,
+    )
 
 
 def test_request_slo_classification_exposes_aggregate_error_cancellation() -> None: