What problem does it solve? Standard search queries miss most of what an investigation needs: leaked documents, exposed configuration files, and mentions of a selector scattered across paste sites and third-party hosts. This Skill teaches how to build precise search-engine queries that actually run as typed, across Google, Bing, Yandex, DuckDuckGo, and independent crawlers. ## Core Features & Use Cases - Operator mastery: Covers site:, filetype:, inurl:, intitle:, intext:, before:/after:, verbatim mode, and which operators still work versus which silently degrade into plain search terms. - Cross-engine strategy: Explains operator differences between Google, Bing, Yandex, DuckDuckGo, and independent crawlers, including Bing's ip: and ext: and Yandex's rhost: and mime:. - Dork cookbook: Ready-to-adapt query sets for finding an organization's documents, a person's accounts, exposed directories and config files, leaked selectors on paste hosts, and open cloud buckets. - Use Case: During supplier due diligence, run site:example.com filetype:pdf procurement in Verbatim mode, extract an author handle from PDF metadata, then pivot to "m.okafor@example.com" to find a mailing-list post revealing the person's full name and role. ## Quick Start Ask the agent to build a Google dork that finds PDF documents mentioning a target company hosted outside its own domain.