feat(linkedin-studio): RE-R1 — item-schema (B1) + triage-scorer (B2) as tested code behind CLI seam [skip-docs]
Lift the research engine's deterministic core out of agents/trend-spotter.md prose into pure, tested TypeScript under scripts/trends/, behind a CLI seam the agent calls. - B1 src/item.ts: TrendItem ingress envelope + normalizeItem/normalizeItems (required-field validation, topic normalize+dedupe via store's normalizeField, optional publishedAt ISO-validate). No id (store derives it); no store bridge (capturedAt injection is R2). - B2 src/score.ts: per-mode weight consts mirroring the SSOT (references/trend-scoring-modes.md), composite (weighted sum, [1,10] guard), band (5-band map + exact SSOT action strings), triage (keep>=threshold, rank desc, annotate composite+band). Owns ONLY the arithmetic; the five judgment scores stay model-side. - CLI normalize/score: JSON payload on STDIN, JSON to stdout (the existing --json output toggle is untouched); exit 2 on bad invocation, 0 otherwise. - Wire trend-spotter.md to name 'src/cli.ts score' as the deterministic-step owner (prose pointer; the agent still supplies the five scores). Domain-general. - Gate: TRENDS_TESTS_FLOOR 24->62; new unconditional Section 16g (score.ts both-mode weight-sets + trend-spotter scorer-pointer + non-vacuity self-test); ASSERT_BASELINE_FLOOR 84->87. TDD: logic-RED proven (33/34 item+score fail on assertions, not module-not-found), then GREEN (trends suite 62/62); CLI RED 2/4 -> GREEN 4/4. Full gate 102/0/0. No store-schema change (SCHEMA_VERSION stays 1). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01VmHCQjJHUyWwxGAVVjNLgp
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@ -131,10 +131,13 @@ query bank: target a source or topic from the list (`"[Tier-1 source] latest"`,
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invoked from `/linkedin:newsletter`) or asks for it explicitly. Depth potential enters at 25 %
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and timing drops to 10 % — a chronicle rewards substance and a durable angle over speed.
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Score each candidate's five dimensions 1–10 per the mode's table, take the weighted composite
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(both modes stay on the same 0–10 scale), and rank highest-first. The composite→action bands
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(Immediate / High / Medium / Low / Skip) live in that same reference — use them; do not restate
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the thresholds here.
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Score each candidate's five dimensions 1–10 per the mode's table — that qualitative judgment is
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yours. The deterministic step that follows is NOT: pipe the scored candidates (JSON on stdin) to the
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scorer CLI `${CLAUDE_PLUGIN_ROOT}/scripts/trends/src/cli.ts score` (`--mode kortform|long-form
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[--threshold N]`), the single owner of the weighted composite, the composite→action bands
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(Immediate / High / Medium / Low / Skip), and the keep/drop threshold. It returns the kept candidates
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ranked highest-first, each annotated with its composite + band. Do not recompute the composite or
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restate the band thresholds here — supply the five judgment scores and let the scorer rank and triage.
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## Trend Opportunity Assessment
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