{"task_id":"st_01a00b0d","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":"2026-08-16T14:50:17.146Z","updated_at":"2026-08-18T18:50:38.112Z","notification":{"run_epoch":3,"notified_epoch":3},"name":"credential-gate-seam","task_summary":"Find minimal credential hygiene gate seam","description":"Find minimal credential hygiene gate seam","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 design investigation in /home/cube/projects/richard/hermes-agent for replacing the activation checklist's unconditional token_rotated:true requirement with a verifiable credential-hygiene proof when rotation is not warranted. Inspect checkin_cli/customer_admin.py, all activation checklist tests/fixtures, transport probe receipt formats, profile env/config permission helpers, and candidate packaging. Deliver: exact failing-first test locations/cases, minimal production seam, typed JSON contract, persisted backward-compatibility constraints, and exact validators that prove file mode, profile binding, bot identity, probe receipt digest, no update consumption/writes, and token non-exposure without reading/recording the token. Do not edit or run tests/live/network/Git.\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":4082105,"final_response":"I read this as checkpoint 2 complete - report implementation and verification.\n\nImplemented:\n\n- Added strict frozen Pydantic v2 policy module.\n- Legacy exact `token_rotated: true` remains accepted.\n- Exact `false` requires the exact waiver contract and all four matching top-level bindings.\n- Missing, extra, coerced, or incorrect values fail before activation writes.\n- No non-exposure inference or proof claim added.\n\nVerification:\n\n- Focused tests: **43 passed, 85 deselected**.\n- Initial GREEN run attempt found `Literal[True]` coercing integer `1`; explicit identity validation fixed it, requiring a second focused run.\n- New module Ruff lint: passed.\n- New module Ruff format: passed.\n- New module basedpyright: `0 errors, 0 warnings`.\n- All three changed files compile successfully.\n- Broader Ruff/basedpyright checks surfaced existing whole-file issues in the large admin/test modules; none were suppressed or broadly refactored.\n\nNew module size:\n\n- 97 physical lines\n- 79 nonblank/non-comment lines\n- Below 250 LOC\n\nHashes:\n\n```text\n40547c2934a3b2fb4f855443d110e2cde8340b14e4e26f23e0641d78520bf763  checkin_cli/customer_admin.py\n235a7ecdc881ea0bf216e2c77b8ae7457fc300323d6f4a152ae51e53e814a01e  checkin_cli/activation_token_rotation_policy.py\n76e9e10435901bb20f9bfe2e44c0cd88a397471d3a74fbb922e12e288a64ed2b  tests/test_customer_admin.py\n```\n\nRestrictive modes restored: files `0400`, directories `0500`. No service, network, live authority, Git, or evidence changes.","run_stats":{"runtime_ms":210660,"turns":14,"tool_calls":28,"output_tokens":9844,"total_tokens":1354526,"generation_ms":201000,"tokens_per_second":49,"cost_usd":1.240298,"cache_hit_rate_last":0.9904021862601452,"cache_hit_rate_run":0.9549439941934227}}