What problem does it solve? When cataloging papers or recording numbers, two sources often disagree, and silently copying one over the other corrupts the record. This Skill enforces rules that keep raw fetch results, corrected bibliographies, and value provenance statuses separate so disagreements become explicit decisions instead of silent merges. ## Core Features & Use Cases - Literature separation: Preserves the fetch-time catalog (catalog.json) as-is while routing bibliography corrections into refs.bib plus a register, keeping empty author lists empty and unconfirmed truncations as "and others". - Number provenance statuses: Enforces a status vocabulary (MEASURED, DERIVED, CATALOG, ESTIMATE, blank/NR/TBD) so workbook values are never inferred from adjacent cells or unrelated columns. - Use Case: While building a literature corpus, a search returns a paper with a truncated three-author record; instead of inventing authors, the record stays "and others" and the correction is logged in refs.bib with a register entry. ## Quick Start Apply the dual-source-honesty rules when cataloging these search results and recording the measured values in my workbook.