gws-modelarmor 是做什麼的？
Google Model Armor：過濾使用者生成內容以確保安全性。
Google Model Armor：過濾使用者生成內容以確保安全性。
這個技能整合了 Google Model Armor，提供強大的內容安全過濾功能，用於審核使用者生成的輸入（如提示詞）與 AI 模型的輸出（如回應）。它基於可自訂的安全性標準（如毒物偵測、仇恨言論過濾與敏感內容分類）來評估文字，並支援同步或非同步處理。此技能主要適用於需要在其 AI 代理或應用程式中實施內容安全政策的開發者，可在 Claude Code、Coder 或類似工具中使用，以保持符合規範的安全互動環境。其運作方式是將內容傳送給 Model Armor API，並根據預先定義的閾值進行分析與標記，最終傳回通過/失敗的判定以及詳細的違規報告。
npx skills add https://github.com/googleworkspace/cli/tree/main/skills/gws-modelarmorInstalled? Explore more 寫作與編輯 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
Google Model Armor：過濾使用者生成內容以確保安全性。
This repo contains 20 individual skills — each has its own dedicated page.
Google Workspace Admin SDK: Audit logs and usage reports.
Google Calendar: Manage calendars and events.
Google Calendar: Show upcoming events across all calendars.
Google Calendar: Create a new event.
Google Chat: Manage Chat spaces and messages.
Google Chat: Send a message to a space.
Google Classroom: Manage classes, rosters, and coursework.
Read and write Google Docs.
Google Docs: Append text to a document.
Google Drive: Manage files, folders, and shared drives.
Google Drive: Upload a file with automatic metadata.
Subscribe to Google Workspace events.
Google Workspace Events: Renew/reactivate Workspace Events subscriptions.
Google Workspace Events: Subscribe to Workspace events and stream them as NDJSON.
Read and write Google Forms.
Gmail: Send, read, and manage email.
Gmail: Forward a message to new recipients.
Gmail: Read a message and extract its body or headers.
Gmail: Reply to a message (handles threading automatically).
Gmail: Reply-all to a message (handles threading automatically).
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
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