Run: 2026-05-06__010__dash-scrubber-deployment-debrief · Date: 2026-05-06 · Phase 1 author
The scrubber's report payload is structured JSON, not prose. Each edit emits an object with type (em_dash, en_dash, compound_known, compound_haiku, compound_kept) and match (the literal substring). This means downstream tooling can aggregate violation rates per file, per author, per type without parsing prose error messages. Both newly initialized append only logs (open_issues.jsonl, audit_log.jsonl) follow event sourcing semantics: each record has id, ts, event, plus event specific fields. Latest event by id represents current state. This is the right shape for both tools to scale into automated dashboards without schema migrations.
The historical iss_NNNN reservations (iss_0070, 0085, 0090, 0092, 0093, 0094, 0095, 0109, 0126, 0254) referenced in architecture.json have no canonical source. Reserved iss_0300+ for this run leaves a safe gap, but a future audit could discover a referenced iss_NNNN that has no record in open_issues.jsonl and infer the file is incomplete. Need a back-population pass to either reconstruct historical issues from their referencing artifacts or document the gap explicitly in the file's first record.
Recurring data shape across recent runs: the maxswarm fleet keeps initializing append only event logs (run 008 currency leaderboard, run 009 protocol checklist results, this run's audit_log and open_issues). All three follow the same pattern: JSONL, latest event by id wins, no in-place edits. This is consistent enough to extract as a standard. Worth proposing as a swarm-upgrade item: codify "event log files use JSONL with id+ts+event" in JOURNAL_STANDARDS.md so future runs don't reinvent the format.
Structured event logs replace ad hoc Markdown changelogs. Once you can jq over your audit history, you stop losing decisions to Slack scrollback.
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