• created: 2026-08-29T10:11:01Z
• status: complete
• focus: scheduled full synthesis
• material_digest: cda866a4743fea322beefd3f2819da7d3c22cab6655f1e2e
Runtime is healthy, but scheduled-worker correctness remains unverified and generated continuity state is stale. No newer user conversation is present after 2026-08-17; the operational backlog remains material.
• `memory-heartbeat.json` at 10:06Z: restore `ok=true`, 7,476 rows; no reported runtime-entry sync problem.
• `model-heartbeat.json` at 09:52Z: `rc=0`, `acpx_rc=0`, `NO_CHANGE`; no curated-memory change.
• `context-guard.json` at 10:11Z: direct ACP normal, 184,658 provider tokens (17.6%), GPT-5.6 Terra, no compaction or reload recommendation.
• `model-conversation-log.jsonl`: 6,342 filtered rows; latest direct user turn is 2026-08-17T16:13Z (Google interview-talk preparation). This is not evidence of missing conversations.
• `continuity-summary.txt` regenerated 10:11Z but still says obsolete `kimi-for-coding/k2p6`.
• `decision-state.json` remains unchanged since 2026-05-27. Open action history includes scheduled-worker repair, provider-ceiling/control-plane verification, decision-state/generated-state cleanup, semantic-memory cleanup, RAG, and user-led YouTube archive continuation.
• Notices contain six current canonical open notices plus historical duplicate/replay rows; no new notice was appended this cycle.
• **Verified healthy:** direct ACP and memory restore are operating normally; context is well below guard thresholds.
• **High operational risk:** scheduled-worker repair has not been independently verified. The open action from 2026-08-17 still requires removing obsolete `kimi-for-coding/k2p6` selection and proving two clean runs.
• **Generated-state drift:** continuity-summary is stale despite current live model metadata. Fix the generator/source, never the generated file directly.
• **Maintenance debt:** decision-state is stale and semantic-memory contains known low-signal historical entries. Candidate files are review material, not facts; no promotion is proposed.
• **User-facing continuity:** preserve the last known focus on Google interview-talk preparation and defer housing/inbox follow-up until the user returns.
• Repair scheduled-worker model/config selection and verify two consecutive successful scheduled runs.
• Expose authoritative timer/subagent/log-backlog/observability checks and separately validate the provider ceiling.
• Refresh decision-state and review semantic-memory garbage; retain candidate lifecycle ownership with the curator.
• Native timer/subagent status tools were not available in this worker, so unattended worker health is only partially verified.
• Bash diagnostics were denied by policy (`python3 -c`); candidate status distribution could not be independently counted in this cycle.
• Direct reads of authoritative `turns.jsonl`, `observability.jsonl`, and backlog-status surfaces were not available here. Do not infer backlog from canonical/model line-count differences.
Next cycle, first check whether scheduled-worker repair has been applied and whether two clean runs are evidenced. Then re-check generated identity drift and open actions before declaring no-op.