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

说明与用途

在 Linux 上为剪贴板实现自动标记和上下文操作，提高安全性和工作效率。

问题

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

结果

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

工作流

• 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

证据

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

来源

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

来源

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

来源