{"task_id":"st_01a0125d","status":"completed","residency_state":"evicted","parent_session_id":"01a00387-aaf8-7f2f-89e3-e24c1af24859","root_session_id":"01a00387-aaf8-7f2f-89e3-e24c1af24859","depth":1,"execution_mode":"in-process","model":"openai-codex/gpt-5.6-sol","notify_on_terminal":true,"created_at":"2026-08-18T00:55:33.904Z","updated_at":"2026-08-19T10:02:46.546Z","notification":{"run_epoch":0,"notified_epoch":0},"name":"strict-full-human-script","task_summary":"Extract full rehearsal human script","description":"Extract full rehearsal human script","category":"deep","requested_model":{"provider":"openai-codex","model_id":"gpt-5.6-sol","display":"openai-codex/gpt-5.6-sol","source":"category","variant":"medium","reasoning_effort":"medium"},"fallback_models":[{"provider":"clinepass","model_id":"cline-pass/deepseek-v4-pro","display":"clinepass/cline-pass/deepseek-v4-pro","source":"category","variant":"medium","reasoning_effort":"medium"},{"provider":"clinepass","model_id":"cline-pass/glm-5.2","display":"clinepass/cline-pass/glm-5.2","source":"category","variant":"medium","reasoning_effort":"medium"}],"resolved_model":{"provider":"openai-codex","model_id":"gpt-5.6-sol","display":"GPT-5.6 Sol","source":"category","variant":"medium","reasoning_effort":"medium"},"spawn_spec":{"version":1,"cwd":"/home/cube/projects/richard/traning coach","prompt":"Read-only. Produce one concise exact human action/answer sheet for the CURRENT sealed strict candidate from fresh invite through cleanup, based only on current product source, plan, and sealed runbooks/evidence. Include: invite/Start, consent, all 22 onboarding replies in exact order with one internally consistent adult synthetic answer (use DOB 1990-01-01 per user preference), customer attestation button, owner review exact button, activation handoff exact operator action, check-in start command/button and every check-in answer in exact order (carefully resolve the known issue that calories appears twice and preserve the correct sequence), generation/card handoffs, owner approve, one-use capability, explicit send, customer screenshot, cleanup. Distinguish customer vs owner vs operator and mark points where the user must stop and wait. Do not edit/run/network. Return source paths/keys for each phase and flag any labels you cannot verify exactly.\n\n<Category_Context name=\"deep\">\nYou are operating in DEEP mode. This is the category reserved for goal-oriented autonomous work on hairy problems that reward thorough exploration and comprehensive solutions.\n\nThe orchestrator chose this category because the task benefits from depth over speed. You should feel empowered to spend the time needed: five to fifteen minutes of silent exploration before the first edit is normal and correct. Rushing to implementation on a deep task is a failure mode, not a feature.\n\n# How deep mode adjusts the base behavior\n\n**Exploration budget: generous.** Read the files you need, trace dependencies both directions, fire 2-5 explore/librarian sub-agents in parallel for broader questions. Build a complete mental model before the first `apply_patch`. Exploration here is an investment, not overhead.\n\n**Goal, not plan.** You receive a GOAL describing the desired outcome. You figure out HOW to achieve it. The orchestrator deliberately did not hand you a step-by-step plan; producing one and asking for approval is not what was asked. Execute.\n\n**Atomic task treatment.** When the goal contains numbered steps or phases, treat them as sub-steps of ONE task and execute them all in this turn. Splitting them across turns is wrong unless they reveal an architectural blocker that requires the user's input. If the \"steps\" turn out to be genuinely independent tasks that should have been separate delegations, flag that in your final message and refuse the ones beyond scope.\n\n**Root cause bias.** Prefer root-cause fixes over symptom fixes. A null check around `foo()` is a symptom fix; fixing whatever causes `foo()` to return unexpected values is the root fix. Trace at least two levels up before settling on an answer. In deep mode, you have permission (and the expectation) to do the deeper fix.\n\n**Ambition scaled to context.** For brand-new greenfield work, be ambitious. Choose strong defaults, avoid AI-slop aesthetics, produce something you would be proud to hand to another senior engineer. For changes in an existing codebase, be surgical and respect the existing patterns; depth does not mean invasiveness.\n\n**Completion bar: full delivery.** \"Simplified version\", \"proof of concept\", and \"you can extend this later\" are not acceptable deliveries for a deep task. The orchestrator routed here specifically for a complete solution. If you hit a genuine blocker (missing secret, design decision only the user can make, three materially different attempts all failed), document it and return; otherwise, finish the task.\n\n**Status cadence: sparse.** The user is not on the other side of this conversation; the orchestrator is, and they will synthesize your progress. Send commentary only at meaningful phase transitions (starting exploration, starting implementation, starting verification, hitting a genuine blocker). Do not narrate every tool call; silence during focused work is expected.\n</Category_Context>"},"host_pid":1761519,"final_response":"I read this as a read-only rehearsal answer sheet - separate the three roles, preserve strict stop points, and distinguish sealed actions from labels or transitions that are not currently authorized.\n\n# Strict candidate action sheet\n\n**Binding:** successor-v3 candidate  \n`b6d78bc1e68ead7340d92b534fe3a6d0257c8aa2b02cd3d58e43215fbd8a3443`  \nStatus: `READY_STRICT_REHEARSAL`\n\n## Critical authority limit\n\nThe current seal authorizes **one launch and one invite only**, ending at:\n\n`READY_CUSTOMER_CLAIM`\n\nIts explicit first instruction is:\n\n> Customer 8527916639: open the single DualCoach invite in this private DM and tap Start yourself; do not send onboarding answers yet.\n\nTherefore:\n\n- Steps through **Start** are currently executable.\n- Onboarding answers below are prepared, but must wait for a new operator handoff.\n- Activation, delivery-capability issuance, delivery, screenshot acceptance, and cleanup have no executable permission in successor-v3.\n- `cleanup_controller_v6.py execute` is deliberately locked and exits blocked.\n- Do not substitute historical Task21-25 or candidate `2e0894ea` commands.\n\n---\n\n# 1. Operator — launch and fresh invite\n\nFrom the repository root:\n\n```bash\nPY='/home/cube/projects/richard/hermes-agent/.venv/bin/python'\nC='.omo/evidence/task26/task26-strict-final-candidate-successor-v3-st_01a00f35'\nR='/home/cube/projects/richard/traning coach/.omo/evidence/task26/task26-strict-launch-controller-v7-successor-st_01a00f35/run-one-use-v7'\n\n\"$PY\" \"$C/launch_controller_v7.py\" execute \\\n  --root \"$R\" \\\n  --permission \"$C/PERMISSION-v7.json\"\n```\n\nRequire:\n\n- `status: READY_CUSTOMER_CLAIM`\n- `invite_count: 1`\n- service active/running\n- `activation: false`\n- `delivery: false`\n- `delivery_capability_issued: false`\n\n**STOP / WAIT:** tell the customer only to open the fresh private-DM invite and press **Start**. Do not provide onboarding answers yet.\n\nSources:\n\n- `...successor-v3.../PERMISSION-v7.json`\n  - `status: AUTHORIZED_ONE_USE_V7`\n  - `maximum_invites: 1`\n  - `authorized_run_root`\n- `...successor-v3.../launch_controller_v7.py`\n  - `send_once`\n  - `first_user_instruction`\n  - terminal `READY_CUSTOMER_CLAIM`\n- `...successor-v3.../LAUNCH-CONTROLLER-SEAL-v7.json`\n\n---\n\n# 2. Customer — claim and consent\n\n1. Open the single new invite in the private DM.\n2. Press Telegram **Start** once. Do not type a bare `/start`.\n3. **STOP / WAIT** for the canonical consent card.\n4. Press **`내용 확인 후 동의`**.\n5. **STOP / WAIT** until the first onboarding question appears and the operator explicitly releases onboarding.\n\nVerified consent label source:\n\n- `gateway/platforms/nutrition_coaching.py`\n  - button `내용 확인 후 동의`\n  - decline button `동의하지 않기`\n  - consent version `privacy-v1`\n\n`Start` is named by the sealed launch handoff, but its visual capitalization is Telegram platform UI rather than an application-defined button label.\n\n---\n\n# 3. Customer — onboarding answers\n\nSend exactly one answer after each corresponding prompt, in this order:\n\n| # | Field | Send |\n|---:|---|---|\n| 1 | `date_of_birth` | `1990-01-01` |\n| 2 | `equation_sex_basis` | `남성` |\n| 3 | `height_cm` | `180 cm` |\n| 4 | `weight_kg` | `80 kg` |\n| 5 | `activity_category` | `보통` |\n| 6 | `activity_rationale` | `주 3회 근력 운동` |\n| 7 | `goal_type` | `유지` |\n| 8 | `target_weight_kg` | `없음` |\n| 9 | `target_date` | `없음` |\n| 10 | `allergies` | `없음` |\n| 11 | `intolerances` | `없음` |\n| 12 | `religious_ethical_exclusions` | `없음` |\n| 13 | `disliked_foods` | `없음` |\n| 14 | `dietary_preferences` | `없음` |\n| 15 | `conditions` | `없음` |\n| 16 | `medications` | `없음` |\n| 17 | `pregnancy_breastfeeding` | `아니오` |\n| 18 | `eating_disorder_risk` | `아니오` |\n| 19 | `cooking_access` | `기본 조리 가능` |\n| 20 | `budget_band` | `보통` |\n| 21 | `meal_count` | `3` |\n| 22 | `schedule_constraints` | `없음` |\n\nAfter the summary appears:\n\n1. Check that it reflects these answers.\n2. Press **`입력 내용이 맞습니다`** once.\n3. **STOP / WAIT** for owner review.\n\nDo not press `수정` unless an answer is actually wrong.\n\nSources:\n\n- Order: `checkin_cli/nutrition_onboarding_contract.py` → `QUESTION_FIELDS`\n- Prompts/parsing: `gateway/platforms/telegram_nutrition_onboarding_copy.py`\n  - `PROMPTS`\n  - `parse_answer`\n- Attestation label:\n  `gateway/platforms/telegram_nutrition_onboarding_runtime_publication.py`\n  - `(\"attest\", \"입력 내용이 맞습니다\")`\n\n---\n\n# 4. Owner — onboarding review\n\nOn the newest owner-review card:\n\n1. Confirm the answers and absence of a safety hold.\n2. Press **`Approve`** once.\n3. **STOP / WAIT** for finalization and readiness publication.\n\nDo not press `Revise`, `Reject`, or `Safety Hold` for the synthetic answers above.\n\nVerified labels:\n\n- `Approve`\n- `Revise`\n- `Reject`\n- `Safety Hold`\n\nSource:\n\n- `gateway/platforms/telegram_nutrition_onboarding_runtime_publication.py`\n- Transition implementation:\n  `gateway/platforms/telegram_nutrition_onboarding_runtime_callback.py`\n  - `owner_ok -> approved`\n  - approved review invokes finalization\n\n---\n\n# 5. Operator — activation gate\n\n**HARD STOP.**\n\nThe product remains disabled after onboarding finalization, and successor-v3 has:\n\n- `activation: false`\n- no sealed activation command or permission\n- no current handoff authorizing activation\n\nDo not reuse the historical `customer_admin activate` procedure. Wait for a new candidate-bound one-use operator authorization.\n\n---\n\n# 6. Customer — nutrition daily check-in\n\nProceed only after the operator confirms activation through a newly authorized surface.\n\n1. Press persistent button **`오늘 체크인`**, or card button **`오늘 체크인 시작`**.\n2. Answer in this exact nutrition-daily order:\n\n| # | Field | Action/answer |\n|---:|---|---|\n| 1 | `bodyweight` | `70.2` |\n| 2 | `calories` | `2350` |\n| 3 | `macros` | `285 150 65` |\n| 4 | `meals` | `아침 오트밀, 점심 닭가슴살, 저녁 연어` |\n| 5 | `water` | `2.5` |\n| 6 | `sleep_duration` | `7.5` |\n| 7 | `sleep_quality` | press `4` |\n| 8 | `digestion` | press `4 · 매끈하고 부드러움` |\n| 9 | `condition` | press `4` |\n| 10 | `appetite_stress` | `식욕 3/5, 스트레스 2/5` |\n| 11 | `training_summary` | press `운동 내용 입력`, then send `하체 70분, 보통 강도` |\n| 12 | `optional_note` | press `없음` |\n\nAt the summary, press **`체크인 저장`** once.\n\n**STOP / WAIT:** wait for `✅ 오늘 체크인을 저장했습니다.` and then for generation/review-card publication. Do not start another flow or request generation manually.\n\nSources:\n\n- Order: `checkin_cli/wizard.py` → nutrition `NUTRITION_STEPS`\n- Prompt/button labels:\n  `gateway/platforms/physique_checkin_prompts.py`\n- Launch labels:\n  `gateway/platforms/telegram.py`\n- Fixture:\n  `verification-tests/tests/test_customer_nutrition_wizard.py`\n\n### Calories resolution\n\nEnter calories **once**, as check-in answer #2: `2350`.\n\n- Onboarding has no calorie question.\n- The generated onboarding baseline may display calculated calories; that is output, not another answer.\n- The separate morning flow also contains a calorie field, but it is not this nutrition-daily flow.\n- Do not launch or interleave the morning flow.\n\n---\n\n# 7. Owner — generated draft\n\nAfter the newest draft card appears:\n\n1. Review the full 12-item checklist and customer-facing text.\n2. Press **`승인`** once.\n3. Confirm the card changes to `승인됨 · 고객 전송 대기`.\n4. **STOP / WAIT** for operator issuance of the bound one-use delivery capability.\n\nApproval does not send automatically.\n\nVerified source:\n\n- `gateway/platforms/telegram.py`\n  - draft buttons `수정`, `재생성`, `승인`, `보류`\n  - callback success text: `승인했습니다. 고객 전송은 별도 확인이 필요합니다.`\n\n---\n\n# 8. Operator — delivery capability\n\n**HARD STOP.**\n\nThe runtime requires a fixed ten-minute, draft-bound capability, but successor-v3 exposes no sealed issuance command or permission.\n\nDo not mutate the delivery ledger or configuration manually.\n\nSource:\n\n- `gateway/platforms/nutrition_coaching.py`\n  - `issue_delivery_capability`\n  - state `awaiting_capability`\n  - ten-minute expiry\n\n---\n\n# 9. Owner — explicit delivery\n\nOnly after the operator confirms successful capability issuance:\n\n1. On the same newest approved card, press **`고객에게 보내기`** once.\n2. **STOP / WAIT** for:\n   - exactly one customer DM;\n   - one delivered record;\n   - one audited send;\n   - no duplicate.\n\nDo not press the button twice and do not use `전달 기록 복구` unless an authorized incident procedure explicitly directs it.\n\nVerified source:\n\n- `gateway/platforms/telegram.py`\n  - approved-card button `고객에게 보내기`\n  - success text `승인된 초안을 고객에게 전달했습니다.`\n\nThe historical English label `Send to customer` is not the current installed UI label.\n\n---\n\n# 10. Customer — final surface capture\n\nAfter exactly one delivered coaching DM:\n\n1. Keep the delivered message visible.\n2. Capture the required final image.\n3. Do not send another customer message.\n\n**Unverifiable:** successor-v3 requires a `<FINAL_IMAGE_REQUIRED>` cleanup binding but does not define the screenshot framing, filename, storage path, or acceptance procedure.\n\nSource:\n\n- `...successor-v3.../cleanup_controller_v6.py`\n  - `capture_receipt`\n  - `<FINAL_IMAGE_REQUIRED>`\n\n---\n\n# 11. Operator — cleanup\n\n**HARD STOP: cleanup is not currently executable.**\n\nThe current controller reports:\n\n- `PASS_DRY_RUN_EXECUTION_LOCKED`\n- `execution_permission: false`\n\nIts `execute` mode always exits blocked until all fresh bindings and a new execution permission exist:\n\n- membership pre-seal\n- membership final-seal\n- lifecycle final seal\n- final-image capture receipt\n- immutable retention publication\n\nPermitted read-only check:\n\n```bash\nPY='/home/cube/projects/richard/hermes-agent/.venv/bin/python'\nC='.omo/evidence/task26/task26-strict-final-candidate-successor-v3-st_01a00f35'\n\n\"$PY\" \"$C/cleanup_controller_v6.py\" dry-run\n```\n\nDo not manually stop/delete/archive profile state as a substitute. Cleanup must wait for a newly sealed execution permission.\n\nSource:\n\n- `...successor-v3.../cleanup_controller_v6.py`\n- `...successor-v3.../receipts/cleanup-v6-v3-dry-run.json`","run_stats":{"runtime_ms":268904,"turns":21,"tool_calls":90,"output_tokens":11253,"total_tokens":2386000,"generation_ms":233590,"tokens_per_second":48,"cost_usd":3.1727329999999996,"cache_hit_rate_last":0.9363941042920466,"cache_hit_rate_run":0.8458063111565147}}