DotGhostBoard 2.1 "Leviathan" — Smart Clipboard Tagging & Contextual Actions on Linux (Part 1)

Описание и применение

Автоматическое тегирование и контекстные действия для буфера обмена в Linux повышают безопасность и удобство работы.

Задача

Clipboard tools treat every copied item the same, causing friction for users who work with terminals, editors, and devtools.

Результат

Auto‑tagging and contextual actions reduce friction and improve security for clipboard content on Linux.

Рабочий процесс

• Capture text via Ctrl+C
• Run pre‑compiled regex and heuristics to detect tags
• Store item with tags
• Render UI with contextual actions based on tags

Доказательства

Most clipboard tools treat every copied item the same: inert text in a database.

Источник

Our constraint was concrete: every classification must run locally, produce deterministic results, and complete in under 1ms for typical clipboard payloads (< 5KB).

Источник

The engine lives in core/security/auto_tagger.py. It runs synchronously on every new clipboard item before storage and UI rendering.

Источник