feat(linkedin-studio): RE-R3a — persist relevance score on the store record + rank the morning brief on it [skip-docs]
R3 slice 1 (research-deepening). Stop discarding the relevance judgment the
trend-spotter already computes: persist a 4-field TrendScore {mode, dimensions,
composite, priority} on TrendRecord (schema v2->v3, additive lossless migrate),
computed by the existing score.ts composite()+band() (one owner, no new arithmetic),
threaded item->store; then rankForBrief sorts each bucket composite-first (sentinel
-1 for unscored) and renderBrief surfaces "· <priority> (<mode>)" per body entry
(briefSummary shows the band only). First-sight only; mode-blind ranking with the mode
shown so the operator can disambiguate instruments.
- score.ts: TrendScore + requiredDimensions(mode) (ordered) + scoreEnvelope (composes
composite+band; throws on bad dim by contract)
- types.ts: SCHEMA_VERSION 2->3; TrendRecord.score?
- store.ts: TrendInput.score?; addTrend persists first-sight (duplicate keeps it);
migrate comment v1->v2->v3 (logic unchanged, JSON.stringify preserves the field)
- item.ts: TrendItem.score?; normalizeItem validates (non-array score/dimensions + the
mode's five dims in [1,10]) -> structured error never throw, carries validated dims;
itemToInput -> scoreEnvelope (no throw on the capture path; direct call throws by contract)
- brief.ts: composite-primary comparator; band+mode render; exact ranking: descriptor
- cli.ts: capture persists score via itemToInput (doc-only); add/score paths unchanged
- agents/trend-spotter.md Step 4.5: capture batch carries the Step-2 dimensions
- gate: TRENDS_TESTS_FLOOR 104->146; new unconditional Section 16j; ASSERT floor 94->99
Tests: trends 146/146 (RED two-phase: logic-RED store/brief/cli; stub-first then
assertion-RED score/item). Gate green (Passed 114 / Failed 0; 113 checks >= 99).
Hook suite 139/139 untouched. Counts 27/19/29 unchanged. No new source file/agent/command.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01VmHCQjJHUyWwxGAVVjNLgp
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@ -14,7 +14,10 @@
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*
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* The capture agent (research-engine) folds freshly-polled trends into the store via
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* `capture` (the normalizing batch path: stdin → normalizeItem(s) → itemToInput →
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* addTrend), and reasons over accumulated history via `query`/`list`. `brief` (RE-R2b)
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* addTrend) — which, when an item carries the agent's five judgment scores (RE-R3a),
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* persists an optional relevance `score` (the deterministically-computed composite + band,
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* one owner) first-sight on the record so the morning brief ranks on it — and reasons over
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* accumulated history via `query`/`list`. `brief` (RE-R2b)
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* renders a dated, pillar-ranked morning brief over the store to a Markdown file the
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* SessionStart hook surfaces. `add` is the MANUAL single-trend path (raw flags, no
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* normalization, publish-date-free). The polling + relevance-scoring itself lives
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