danielmiessler/Fabric：README 來源編輯指南

danielmiessler/Fabric 的 README 將專案描述為「Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.」。本文只整理倉庫可直接核對的內容，不把 star、Fork 或宣傳語當成品質證明。README 在「What and why」下寫到：Since the start of modern AI in late 2022 we've seen an extraordinary number of AI applications for accomplishing tasks. There are thousands of websites, chat-bots, mobile apps, and other interfaces for using all the different AI out there.。這說明的是專案邊界，不是已完成的生產驗證。

從 README 的「Recent Major Features」與相關條目，可以先判斷它是否處理你的實際問題：v1.4.417 through a unified Azure APIM Gateway with shared subscription key authentication.。若需求不同，不應只因專案熱度就採用。本文保留原始專案名、命令與元件名，方便回到一手來源核對。 README 另外列出一項可核對的資訊：v1.4.447 to the available models, including 1M-token context window support.。這類原文條目可用來設計試跑步驟，但不能取代實際環境測試。

README 將運作方式分散在「What and why」等段落。可確認的線索包括：Fabric was created to address this by creating and organizing the fundamental units of AI,the prompts themselves!。本文不把未寫出的架構、效能或安全邊界補成結論；真正的執行鏈仍要配合目錄、設定檔與版本標籤檢查。

第一次安裝應從 README 指出的入口開始。目前可核對的命令是： curl -fsSL https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.sh | bash 如果倉庫沒有命令，本文不會自行編造步驟，而是建議先閱讀「What and why」，確認系統依賴、預設埠與首次初始化。

日常使用取決於專案文件。README 的「What and why」段落提到：Fabric organizes prompts by real-world task, allowing people to create, collect, and organize their most important AI solutions in a single place for use in their favorite tools.。設定檔、環境變數、權限與資料目錄只在來源明確時才會記錄；沒有寫出的預設值，應在測試環境驗證並保留回滾副本。 同一部分也提到：v1.4.416 , Azure Entra ID Authentication: Added Azure Entra ID authentication plugin with shared Azure utilities, Entra ID/MSAL support, and extracted common Azure logic into a reusable azurecommon package.。