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Google‑style dorking adapted for Large‑Language Models (ChatGPT, Claude, etc.). This repo shows how to craft “LLM dorks” (structured prompts) that replicate intext:, site:, filetype: and other classic Google operators while leveraging an LLM’s reasoning + web search API.
Google dorking = precision hacking of search syntax. LLM dorking = precision hacking of prompts + search API parameters so the model:
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