{"task_id":"st_01a052cc","status":"completed","residency_state":"evicted","parent_session_id":"01a04e1a-4e0a-7c69-845d-0b5d1e71f82d","root_session_id":"01a04e1a-4e0a-7c69-845d-0b5d1e71f82d","depth":1,"execution_mode":"in-process","model":"openai-codex/gpt-5.6-sol","notify_on_terminal":true,"created_at":"2026-08-30T13:11:41.821Z","updated_at":"2026-09-01T01:31:08.330Z","notification":{"run_epoch":0,"notified_epoch":0},"name":"v15-new-user-workflow-audit","task_summary":"Trace and run disposable new-user onboarding without external sends","description":"Audit new-user onboarding path","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":"TASK: Independently audit whether a brand-new user can complete the NutriCoach v1.5 r28 onboarding/workflow safely. Read-only on live production; disposable mutations only under a temp root. DELIVERABLE: exact entrypoint, required preconditions, runnable test commands, observed PASS/FAIL, blockers, and evidence that no Telegram/provider/customer-data external writes occur. SCOPE: /home/cube/projects/richard/.worktrees/nutricoach-v150-combined, live candidate 1128e376747835bc75c5cfe43f024ce644d72492796acc5778f8a13aa382c528, capacity 5 with one enabled customer. Trace /start bootstrap, admission, registry, consent, weekly registration, isolation, capacity overflow. Run the smallest faithful disposable suites. DO NOT message any real user, modify live profile, or use network. STOP WHEN: one decisive verdict with commands and blockers.\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":1353625,"final_response":"I read this as a final onboarding safety verdict - I audited live state read-only and exercised the smallest isolated workflow suites.\n\n## Verdict: FAIL\n\nA brand-new user cannot enter the NutriCoach v1.5 r28 onboarding workflow through a supported operator surface.\n\n### Decisive blocker\n\nThe customer entrypoint is:\n\n```text\n/start rc1_<22-character-token>\n```\n\nor:\n\n```text\n/start@<bot_username> rc1_<22-character-token>\n```\n\nHowever, r28 exposes no CLI or operator command that creates this invitation token.\n\n- Token creation exists only as the internal Python method `RoomBootstrapStore.prepare_rehearsal_customer_invite(...)`.\n- Its only callers in the candidate tree are tests/disposable fixtures.\n- Installed `dualcoach_admin` customer commands are only:\n  - `activate`\n  - `staff-membership-preflight`\n  - `staff-membership-finalize`\n  - `staff-membership-verify`\n\nTherefore an operator cannot establish the prerequisite token through the sealed product, and a new user cannot begin onboarding.\n\n## Live observations\n\nRead-only inspection confirmed:\n\n- Running runtime: `.../.strict-runtime/1128e376-v150/venv`\n- Candidate digest: `1128e376747835bc75c5cfe43f024ce644d72492796acc5778f8a13aa382c528`\n- Capacity: `5`\n- Enabled customers: `1`\n- Disabled drafts: `1`\n- Room bootstrap: enabled\n- Nutrition onboarding: enabled\n- Weekly authority binds the one enabled customer.\n- The five core workflow source files tested exactly match the r28 manifest hashes.\n- Channel Inbox remains unconfigured/off; this does not block private bot-DM onboarding.\n\nRuntime inspection command:\n\n```bash\nR=/home/cube/.hermes/profiles/dualcoachtest/.strict-runtime/1128e376-v150/venv\n\"$R/bin/python\" -B - <<'PY'\nimport inspect, json\nfrom pathlib import Path\nimport gateway.platforms.telegram as telegram\nimport gateway.platforms.dualcoach_admin as admin\n\nregistry = json.loads(\n    Path(\"/home/cube/.hermes/profiles/dualcoachtest/customers/registry.json\").read_text()\n)\nprint(inspect.getfile(telegram))\nprint(\"capacity\", registry[\"admission_policy\"][\"max_enabled_customers\"])\nprint(\"enabled\", sum(c[\"enabled\"] for c in registry[\"customers\"]))\nprint(\"customer commands\", sorted(\n    next(a for a in admin._parser()._actions if getattr(a, \"choices\", None))\n    .choices[\"customer\"]._actions[1].choices\n))\nPY\n```\n\n## Required workflow preconditions\n\nIf the missing invitation command is supplied, successful onboarding requires:\n\n1. A unique disabled customer draft and no nonterminal bootstrap for that key.\n2. A token generated by the canonical bootstrap store.\n3. Customer opens the token within 24 hours.\n4. `/start` occurs in a private DM where `from_user.id == chat.id`; customer must not be the owner.\n5. Registration creates an exact disabled registry row; it grants no activation.\n6. Customer explicitly grants current `privacy-v1` consent.\n7. Answers arrive from the exact registered route and in question order.\n8. Owner review/finalization produces readiness artifacts while the customer remains disabled.\n9. Fresh Telegram staff-membership evidence and deployment receipt exist.\n10. `dualcoach_admin customer activate ...` receives the exact bootstrap generation, data root, evidence paths, and current external Task26 authority.\n11. Activation remains serialized and total enabled customers must not exceed five.\n12. Weekly startup authority then registers enabled, consenting customers only.\n\nThe mandatory fresh Telegram membership probe and real message delivery were intentionally not exercised because this audit prohibited network access and real-user messaging.\n\n## Disposable verification\n\nAll suites ran with `/` read-only, `/tmp` disposable, and a separate network namespace:\n\n```bash\nbwrap --unshare-net --ro-bind / / --proc /proc --dev /dev --tmpfs /tmp \\\n  /bin/bash -lc '<pytest command>'\n```\n\nObserved:\n\n- Bootstrap TTL/single-use, weekly registration, disabled-draft preservation, no-provider startup, routing/consent isolation: **13 passed**\n- Capacity five, overflow rejection, independent receipts/data roots, scheduling fanout, onboarding consent/finalization, weekly cross-customer substitution rejection: **15 passed**\n- Transaction rollback, exact stage sequence, Channel Inbox off, bootstrap network gate: **16 passed**\n\nTotal: **44 passed**.\n\nThese suites prove that after admission begins:\n\n- Five enabled customers are accepted.\n- The sixth enabled customer is rejected.\n- Disabled drafts do not consume enabled capacity.\n- Customer routes, data roots, activation receipts, weekly registration, and scheduling remain isolated.\n- Missing/revoked consent fails closed.\n- Weekly startup performs no provider call.\n\n## No-external-write evidence\n\nBefore and after testing, SHA-256 inventory over live `config.yaml`, registry, gateway state, and all 690 data files was identical:\n\n```text\nb9788dbc193eb9526ae60f48a50c4f39e724bfff2b111338ba5a553458163fe6\n693 files\ndiff: empty\n```\n\nAdditional guarantees:\n\n- `bwrap --unshare-net` removed network access.\n- `/` was mounted read-only.\n- All pytest roots and `HOME` were under disposable `/tmp`.\n- No test process retained a network socket.\n- No Telegram API, provider, real-user message, live registry mutation, profile mutation, or customer-data external write occurred.","run_stats":{"runtime_ms":304815,"turns":19,"tool_calls":80,"output_tokens":11436,"input_tokens":183240,"cache_read_tokens":2295808,"total_tokens":2490484,"generation_ms":249682,"tokens_per_second":46,"cost_usd":2.407184,"cache_hit_rate_last":0.9909426327760918,"cache_hit_rate_run":0.926084529222508,"token_status":"complete","cost_status":"reported","duration_status":"monotonic"},"task_seq":0,"config_generation":0,"background_mode":"background"}