FaFaFa-全部发

## Extension Name FaFaFa-全部发 ## Store Summary (Short Description) Publish from fafafa.ai mdeditor to multiple platforms with one click, while checking login state and preserving formatting where possible. ## Optional Taglines - Write once, publish to multiple platforms - Start publishing directly from fafafa.ai - Detect signed-in accounts and automate the repetitive steps ## Long Description FaFaFa-全部发 is the official browser extension for fafafa.ai, built for creators who need to distribute one Markdown article across multiple publishing platforms. After installation, open fafafa.ai mdeditor, click **Publish**, detect signed-in platform accounts, choose your targets, and let the extension open platform editors and fill content automatically. Key capabilities: - Write once, distribute to multiple platforms - Detect platform login state automatically - Bridge rich HTML, Markdown, and WeChat-ready content - Preserve formatting as much as possible to reduce manual cleanup - Run locally in the browser without sending article content through extension-owned relay servers Typical use cases: - Technical blog cross-posting - Content operation and distribution workflows - Draft syncing for WeChat Official Accounts, Xiaohongshu, Juejin, CSDN, and more ## Reviewer Notes - The extension runs only after the user explicitly clicks Publish - Article content is processed locally in the browser by default - Site access is limited to fafafa.ai and supported publishing platforms for sign-in checks, opening editors, and filling content - If requested during review, clarify that `debugger` and `clipboardRead` are used to preserve formatting and support richer editor automation on some sites ## Permission Notes - `scripting`: inject content into target editors - `cookies`: check platform login status - `tabGroups` / `activeTab`: manage tabs opened during automated publishing - `debugger`: simulate paste behavior on platforms that require richer editor automation - `clipboardRead`: read rich HTML from the clipboard for publishing flows - `storage`: cache required local state - `offscreen` / `declarativeNetRequest`: support platform-specific login detection and compatibility logic ## Privacy Summary - No personal data collection - No article content upload to extension-owned servers - Access target platforms only when the user explicitly starts a publishing flow ## Initial Release Notes - Add one-click publishing from fafafa.ai mdeditor - Add in-editor platform detection and selection - Rebrand to FaFaFa-全部发 - Improve permission scoping and installation guidance for store submission