novelty-duplication-advisory

Novelty & Duplication Advisory — the overlap a reviewer should weigh

Lay out, for $ARGUMENTS (a paper-dir or a claims.json from /evidence-ledger), the candidate prior-work overlap a human reviewer should weigh for two reviewer-judgment signals — trivial combination ("standard A+B+C") and duplicate publication ("repackaged prior work"). Retrieve candidates, map them side-by-side against the paper's ledger-anchored contribution, and emit novelty-duplication-advisory.memo.md. Run AFTER /evidence-ledger (so claims.json exists). This skill decides nothing — it never rules "trivial" or "duplicate", and the deterministic adjudicator caps it at info.

🔒 Do not wrap this skill in /loop, /schedule, or CronCreate. It retrieves external prior work once and synthesizes it into one advisory memo. Even though it is memo-only (the adjudicator caps it at info, so it adds no verdict weight), the no-new-signal cadence rule still applies: its output changes only when the ledger / the paper / the literature change, never with the wall clock. It is tempting to re-fire on a timer "to catch newly-posted prior work," but a wall-clock loop burns real DBLP + web + cross-model budget on every tick for a paper that has not changed. Schedule the work that precedes it — ledger built → run this once. (Mirrors ARIS's external-cadence doctrine: /loop·/schedule are fire-control, not a judge.)

Adapted from ARIS novelty-check, with one deliberate reframing and one deliberate downgrade. The reframing: ARIS novelty-check asks "is MY idea novel — should I PROCEED / ABANDON?" and hands the author a Score: X/10 + a recommendation; this skill asks "here is the overlap a third-party reviewer should weigh" and hands the human candidates, not a verdict. The downgrade: it is memo-only. Novelty is the textbook example of a judgment that is not decidable from the paper alone, and not decidable at any observability level — it depends on a corpus you can never prove you searched exhaustively. So this skill retrieves and lays out overlap; it refuses to grade it. tools/adjudicate_findings.py lists novelty-duplication-advisory in ZERO_WEIGHT_SKILLS and caps anything it emits at info. The memo informs; the human judges; the deterministic adjudicator owns the report verdict — and this skill never moves it.