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Situation
To-Do tasks are currently titled `{sender} — {purpose}` (e.g. `SPPlus — ParkingInvoice-Jun2026`). This is a noun phrase
— it tells you what the document is, not what you need to do with it. ...
parking lot
Automated harness-observability audit found a gap for nanoclaw.
- Harness exposes: outbound.db container_state table (single-row id=1) — current_tool TEXT, tool_declared_timeout_ms
INTEGER, tool_started_at ...
背景
course-builder の設計上、content_template (dogfood で実機検証される正コード) が single source of truth で、lecture_md
はそこから「抜粋・段階分割」した部分集合であるべき、という不変条件がある (section-generator 規約 /
hallucination-defense)。
lecture_md は ...
feat
Automated harness-observability audit found a gap for nanoclaw.
- Harness exposes: outbound.db processing_ack table — container writes processing|completed|failed per messages_in.id
it has touched; ...
Automated harness-observability audit found a gap for nanoclaw.
- Harness exposes: inbound.db delivered table — one row per messages_out row the host has attempted to deliver; status
is delivered|failed, ...
Automated harness-observability audit found a gap for nanoclaw.
- Harness exposes: messages_in.tries INTEGER — incremented each time the container picks up the message; non-zero
means at least one ...
Automated harness-observability audit found a gap for nanoclaw.
- Harness exposes: messages_in.status column (pending|completed|failed|paused) written by the container s
processing_ack sync back ...
Situation
Both `analysis/sender.py` and `analysis/priority.py` parse the LLM response with a bare `json.loads(raw_text)`. When
Claude wraps its JSON in markdown fences (```json ... ```), the parse fails ...
parking lot
背景
course-builder の最大の品質リスクは「generator が実在しない API signature を捏造する」ハルシネーションである。実例:
- haskell-gogol-firebase: src/Auth.hs で jose の audienceSatisfies を捏造 (実 API に存在せず)、emptyJWKSet 捏造 (実は mempty ::
...
feat
Situation
`todo.py:_get_token()` raises `NotImplementedError`. The entire M365 To-Do integration — `ensure_list()`,
`_post_task()`, `create_todo_task()` — is structurally complete but silently no-ops ...
parking lot

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