What problem does it solve? Verifying an article's claims and finding credible sources for every named person, organization, or statistic is slow manual research. This Skill reads an article from a URL, pasted text, or local file and produces a sourced reference table mapping each mention to an independently found link. ## Core Features & Use Cases - Scoped extraction: Confirms which categories to extract first — named people and organizations by default, with factual claims and existing citations as opt-in extras. - Wikipedia-first sourcing for people: Searches Wikipedia for every named person, verifies identity against article context to avoid wrong-person matches, and falls back to official bios or reputable profiles. - Primary-source preference for claims: Traces statistics and factual claims to the original study, dataset, or official report rather than secondary news coverage. - Use Case: Before publishing a blog post that mentions several researchers and cites a 2023 WHO statistic, run this Skill to get a table of Wikipedia links for each person and the primary WHO report for the statistic, ready to paste into a References section. ## Quick Start Find references for this article and list sources for every person and organization it mentions.
