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- OSWright — desktop automation
OSWright — desktop automation
Drive real desktop apps from your agent without paying for a screenshot every step.
Free
Works with the AI Agents you already use
OSWright — desktop automation
Example session with this skill installed
Open Calculator and work out 1234 × 56.
- Read your context and instructions
- Compiled the oswright
Calculator is open and shows 69,104.
I focused the Calculator window, clicked 1, 2, 3, 4, ×, 5, 6 and = with click_element, and read the result back from the app's accessibility tree with get_ui_tree rather than trusting OCR. Between clicks I used observe, which reports only what changed on screen instead of returning a full screenshot each step.
Connects securely to your tools. The creator never sees your data.
About this skill
OSWright is an open-source MCP server for desktop automation — click, type, read on-screen text, manage windows, fill forms. This skill tells your agent when to use it and which tools are the cheap ones.
The difference from screenshot-based tools: OSWright keeps a model of the screen and re-reads only what changed. Measured on a live desktop, the median step changes 0.012% of the screen's pixels, so a full screenshot is mostly wasted tokens.
Measured, and reproducible from the repo's benchmarks/:
- Eight-field data-entry task: 25,122 → 3,404 tokens (7×), with the result checked against the application's own state, not against OCR.
- Against Windows-MCP on a shared task set: 16.9× cheaper. Windows-MCP was more reliable (20/20 vs 19/20).
Requires the server: uvx oswright (or pip install oswright). Strongest on Windows, where it uses built-in OCR and UI Automation with no PyTorch download. Linux (X11) and macOS are supported through EasyOCR.
MIT licensed. Source: https://github.com/Ask-812/oswright
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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