AI OSINT investigator for Windows: ask a question in plain words and get an answer built from public sources, with a source on every sentence.
Available after the catalog security scan passes.
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# Add to your Claude Code skills
git clone https://github.com/StormBrawlerSack/legwork-osint-ai-investigatorGuides for using ai agents skills like legwork-osint-ai-investigator.
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Status: v1.2.1. The app is out — download Legwork for Windows.
Every investigation starts the same way: twenty tabs, a notepad, and a question that keeps growing arms. The tabs win, the question loses.
Search engines answer queries; Legwork answers questions. It reads the sources it finds and writes the answer with a citation on every sentence — so you can check it, not just trust it.
#121114 and paper #F4F1EC. Highlighter pink #FF85C0 marks what is sourced, and the download.
The question types itself in, the page count runs up, and the answer is written one line at a time: the key phrase gets the highlighter, each sentence carries numbered source chips, and the sources line up as cards under the answer. The line that actually answers the question is held back, and the card offers the download instead. Three sample questions can be switched under the answer.

legwork-osint-ai-investigator is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by StormBrawlerSack. AI OSINT investigator for Windows: ask a question in plain words and get an answer built from public sources, with a source on every sentence. It has 91 GitHub stars.
legwork-osint-ai-investigator's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/StormBrawlerSack/legwork-osint-ai-investigator" and add it to your Claude Code skills directory (see the Installation section above).
legwork-osint-ai-investigator is primarily written in JavaScript. It is open-source under StormBrawlerSack on GitHub, so you can review or fork the full source.
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