據 AlphaMoat 統計,截至 2026-09,mano-cua 累計下載 3,565 次、獲 3 個星標,在全部 5,078 個 AI 技能中排名第 3,069 位,在「AI 智慧體」分類(969 個)中排名第 620 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 103 | 3494 | 3 | - |
| SkillHub ↗ | 95 | 3565 | 3 | — |
各平台的計數口徑不同,統計時間不一致。
它描述根據使用者明確指定的任務在前臺介面中點選、輸入、滾動或拖動,並設定步驟上限;敏感或不可逆操作會暫停請求確認。本地模式在裝置上推理,文件稱其不進行推理網路呼叫;雲端模式會在推理期間臨時傳送主顯示器截圖。使用前需確認螢幕內容、目標應用、隱私要求和操作範圍。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3565 | — | 3 |
| 2026-08 | 3307 | +7.5% | 3 |
| 2026-07 | 3077 | +12.4% | 3 |
| 2026-06 | 2738 | +9.8% | 3 |
| 2026-05 | 2493 | — | 3 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: mano-cua
description: Computer use for GUI automation tasks via VLA models. Use when the user describes a task in natural language that requires visual screen interaction and no API or CLI exists for the target app.
homepage: https://github.com/Mininglamp-AI/mano-skill
metadata: {"openclaw": {"emoji": "🖥️", "install": [{"id": "brew", "kind": "brew", "formula":"Mininglamp-AI/tap/mano-cua", "bins":["mano-cua"],"label": "Install mano-cua (brew)"}]}}
---
# mano-cua
Desktop GUI automation for tasks via VLA models. Use when the user describes a task in natural language that requires visual screen interaction and no API or CLI exists for the target app. Supports fully on-device local mode and cloud mode.## Requirements - A system with a **graphical desktop** (macOS / Windows / Linux) - `mano-cua` binary installed (v1.1.0+ recommended for full feature support) ### Installation **macOS / Linux (Homebrew):** ```bash brew install Mininglamp-AI/tap/mano-cua # Update to latest version brew upgrade Mininglamp-AI/tap/mano-cua ``` **Windows:** Download the latest `mano-cua-windows.zip` from [GitHub Releases](https://github.com/Mininglamp-AI/mano-skill/releases), extract it, and add the folder to your `PATH`. ## Usage ```bash # Run a task mano-cua run "your task description" # Run with options (minimize UI panel and set max steps) mano-cua run "task" --minimize --max-steps 10 # Open a URL in the browser before starting the task mano-cua run "task" --url "https://example.com" # Open an app before starting the task mano-cua run "task" --app "Notes" # Run in local mode (on-device inference, macOS Apple Silicon only) mano-cua run "task" --local # Stop the current running task mano-cua stop ``` Run `mano-cua --help` or `mano-cua <command> --help` for full flags and options. > **Note:** Only one task can run at a time per device. If you need to start a new task, first stop the current one with `mano-cua stop`. > **--app vs --url:** Use one or the other, not both. `--app` launches a desktop application by name. `--url` opens a URL in the default browser. Both bring the target to the foreground before the agent starts. > **Troubleshooting:** If tasks fail unexpectedly or features described below are unavailable, ensure your CLI is up to date: `brew upgrade Mininglamp-AI/tap/mano-cua`. ## Configuration ```bash mano-cua config --list # Show all settings mano-cua config --set max-steps 50 # Set default max steps mano-cua config --set minimize true # Always start with UI panel minimized mano-cua config --set disable-bash true # Disable shell tool in cloud mode ``` ## Local Mode Runs [Mano-P](https://huggingface.co/Mininglamp-2718/Mano-P) entirely on-device via MLX. No data leaves the machine. **Requires macOS with Apple Silicon (M1+).** The local model is lightweight (4B) — clarify the user's instruction and add context that the model may not infer on its own. Use `--app` or `--url` to set the starting context. > **Tips for local mode:** > - Vague instructions need specifics: "look up AI news" → `"Search for artificial intelligence news and open the first result"` with `--url "https://www.google.com"` > - Tasks requiring domain knowledge need context: "adjust screen brightness" → `"Adjust screen brightness to 50% in System Settings > Display"` with `--app "System Settings"` **Setup:** ```bash mano-cua check mano-cua install-sdk mano-cua install-model # Optional: use a custom Python environment or model path if dependencies or weights are already in local mano-cua config --set python-path /path/to/.venv/bin/python mano-cua config --set default-model-path /path/to/model-weights ``` > **Model format:** Local mode expects MLX w8a16 quantized weights for optimal performance. If your model is in fp16, convert it first: > ```bash > python -m mlx_vlm.convert --hf-path /path/to/fp16-model --mlx-path /path/to/output-w8a16 -q --q-bits 8 --dtype float16 > ``` **Run:** ```bash mano-cua run "Search for openai on Google and open the first result" --local --url "https://www.google.com" mano-cua run "Search for iphone on Xiaohongshu and open the first post" --local --url "https://www.xiaohongshu.com" --minimize --max-steps 15 mano-cua run "Create a new note titled hello world" --local --app "Notes" ``` ## Examples ```bash # Local mode (recommended for privacy — all inference on-device, no data leaves the machine) mano-cua run "Search for openai on Google and open the first result" --local --url "https://www.google.com" --minimize mano-cua run "Create a new note titled hello world" --local --app "Notes" # Cloud mode mano-cua run "Open Notes and create a new note titled Meeting Summary" mano-cua run "Search for AI news in the browser and show the first result" --minimize --max-steps 20 # Cloud mode with --app or --url mano-cua run "Create a calendar event for Friday 20:00 named Team Meeting" --app "Microsoft Outlook" mano-cua run "Compare available plans for the AeroAPI" --url "https://www.flightaware.com/" # Cloud mode — shell tool used for applicable steps to reduce time and improve accuracy (v1.1.0+) mano-cua run "Create a file called report.txt on the Desktop with the content 'Q2 revenue summary', then mark it with a red tag in Finder" # Stop the current task (use before starting a new one) mano-cua stop ``` ## How It Works At each step, the current screen state is analyzed by a hybrid vision model to decide the next action. The agent performs bounded GUI actions (click, type, scroll, drag) only within the user-specified task scope, visible foreground target, and configured step/session limits. In cloud mode, when certain steps can be accomplished via shell, a shell tool will be invoked to perform the action rather than GUI operations to reduce steps and improve accuracy (requires v1.1.0+). For sensitive or irreversible actions, the agent pauses and prompts the user for explicit confirmation before proceeding. Hybrid vision model: - **Mano-P model** — handles straightforward, lightweight tasks with rapid output. - **Claude (vision analysis)** — handles complex tasks requiring deeper reasoning. In cloud mode, only the primary-display screenshot is sent transiently via HTTPS for the current inference step; no background monitoring occurs. The system automatically selects the appropriate model based on task complexity. In **local mode (`--local`)**, a local Mano-P model runs on-device via MLX. No network calls for inference. Local mode is only supported on macOS with Apple Silicon. **Structural capability boundaries (what the tool cannot do):** - Cannot run in the background or persist between sessions — each invocation is a single, short-lived task. - Cannot interact with secondary monitors — only the primary display is used. - Cannot bypass OS-level permission dialogs or security prompts. - Cannot access stored passwords, tokens, cookies, or credential managers — it can only see and interact with what is visually rendered on screen. - In local mode, cannot execute shell commands or access the filesystem beyond what is visible on screen. - In cloud mode, the shell tool may be used when it can accomplish a step more efficiently. This capability can be disabled via `mano-cua config --set disable-bash true`. ## Status Panel A small UI panel is displayed on the top-right corner of the screen to track and manage the current session status. ## Data, Privacy & Safety - The user must explicitly describe the task before any action is taken. There is no background operation, no scheduled scanning, and no persistent connection. - Sensitive or irreversible actions (making purchases, entering credentials, deleting data) trigger a confirmation prompt — the agent pauses and waits for explicit user approval before proceeding. - Step count is capped via `--max-steps`, preventing runaway execution. - The on-screen status panel displays every action in real-time; the user can stop immediately via the panel or `mano-cua stop`. - The agent stops the moment the user intervenes with mouse/keyboard input or the session ends. - Most actions performed are inherently reversible (clicking, scrolling, typing can be undone). For non-reversible actions, the confirmation mechanism described above applies. - In cloud mode, primary-display screenshots are sent transiently for inference only during an active user-initiated session; no continuous recording, background monitoring, or credential-store access occurs. - For privacy-sensitive tasks, **local mode (`--local`)** runs inference entirely on-device with zero network calls — no data ever leaves the machine. - The agent has no programmatic access to application data, APIs, or internal state — it can only see what is visually rendered on screen and interact via standard mouse/keyboard input. - It does not access stored passwords, tokens, cookies, session stores, keychains, or credential managers. No API keys or secrets are required or embedded. - The scope is limited to what the user explicitly describes in the task — the agent does not navigate to unrelated apps or accounts on its own. - When `--app` or `--url` is specified, the agent's interaction is focused on that specific application or webpage. - The full source code is [open source on GitHub](https://github.com/Mininglamp-AI/mano-skill) under MIT-0 license. The Homebrew formula builds directly from tagged GitHub releases with verifiable checksums. - All network calls are isolated in a single module ([`task_model.py`](https://github.com/Mininglamp-AI/mano-skill/blob/main/visual/model/task_model.py)) for easy auditing. - The client identifies itself only with a locally generated device ID (`~/.myapp_device_id`) — no secrets are transmitted or stored remotely. ## Important Notes - **Do not use the mouse or keyboard during the task.** Manual input while mano-cua is running may cause unexpected behavior. - **Multiple displays:** only the primary display is used. All mouse movements, clicks, and screenshots are restricted to that display. ## Platform Support macOS is the primary and most tested platform. Windows adaptation has been completed with full support for GUI automation in cloud mode. Local mode (on-device inference) is only available on macOS with Apple Silicon. Linux support is functional but less tested — minor issues are expected.
將開發過程中的經驗、錯誤與修正記錄為 Markdown 檔案,供日後重用並提升為工作區記憶。
用自然語言描述需求,在本機與遠端技能市場尋找技能並取得推薦。
給 AI agent 用的瀏覽器自動化命令列技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在安裝第三方技能之前,按清單審查來源、許可權與危險模式的技能。
將代理記憶與跨技能狀態整理成具型別與約束的知識圖譜。
規劃 AI 代理主動跟進、工作記憶與回顧流程的工作區設定指南。
指導如何建立與更新有效 Claude 技能的寫作指南。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。