computer-use

computer-use is a skill for Claude Code, Codex from clacky-ai/openclacky. It costs 57 tokens per session (1,771 once invoked), scanned A, original, MIT.

A desktop-control tool for macOS or Windows through WSL that takes screenshots and uses mouse and keyboard actions. WSL is a way to run Linux tools inside Windows.

In plain words
What is it for?
Use it to operate native applications, installers, settings, menus, dialogs, and file-picking windows. On Windows it requires an interactive WSL session connected to the logged-in desktop.
Why use it?
It reaches native desktop windows that command-line tools and browser automation cannot access, such as system dialogs and file pickers.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to operate native applications, installers, settings, menus, dialogs, and file-picking windows. On Windows it requires an interactive WSL session connected to the logged-in desktop.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/clacky-ai/openclacky/computer-use
About the project

OpenClacky is an open-source AI coding agent that uses OpenAI-compatible models to perform tasks through tools and subagents. It is intended for developers who want an agent with flexible model choice and lower token usage. The catalogue skills and agents extend its workflows and capabilities.

clacky-ai/openclacky · 1,203 stars · on GitHub · openclacky.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add clacky-ai/openclacky --skill computer-use
Clone the repo
git clone --depth 1 https://github.com/clacky-ai/openclacky

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for computer-use

README.md
[![agentmods](https://agentmods.dev/badge/skills/clacky-ai/openclacky/computer-use/github.svg)](https://agentmods.dev/skills/clacky-ai/openclacky/computer-use)
Your own site
<a href="https://agentmods.dev/skills/clacky-ai/openclacky/computer-use"><img src="https://agentmods.dev/badge/skills/clacky-ai/openclacky/computer-use/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for computer-use

Your own site · 80×15
<a href="https://agentmods.dev/skills/clacky-ai/openclacky/computer-use"><img src="https://agentmods.dev/badge/skills/clacky-ai/openclacky/computer-use.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,771 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00057 $0.01771
Opus 5.5 $0.00023 $0.00708
Sonnet 5.5 $0.00011 $0.00354
Haiku 4.5 $0.00006 $0.00177

Measured 18d ago against content hash bf8008b182f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

computer-use scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 18d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (bin/computer.rb), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

lib/clacky/default_extensions/computer-use/skills/computer-use/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Computer Use (macOS and Windows)

GUI control goes through the script bundled with this skill. The computer-use extension is off by default, so if you are reading this the user has switched it on.

Platform support

Host Backend Needs
macOS CoreGraphics + Quartz events Screen Recording and Accessibility grants
Windows PowerShell agent launched from inside WSL WSL running in an interactive desktop session

On Windows the script only works from a WSL shell on the same machine: it reaches the Windows desktop through WSL interop, which inherits the logged-on user's session. Run from a service, an SSH session or anything on session 0 and doctor will say so — screenshots come back black and input goes nowhere. This does not work on plain Linux without Windows, and there is no macOS-side fallback for it.

Everything below is the same on both platforms. Key combos keep the macOS spelling (cmd, shift), so cmd means the Windows key on Windows.

When to use it

  • Native apps, dialogs, menu bars, installers, file pickers, System Settings.
  • Anything on screen that terminal cannot reach and browser cannot automate.
  • For web automation prefer the browser tool while it works. If it fails because remote debugging is unavailable, fall back here immediately — do not open chrome://inspect or run the browser-setup skill unless the user asks for it.

Workflow

  1. Bring the target app forward if another window may cover it:

    ruby <skill_dir>/bin/computer.rb activate "WorkBuddy"
    

    It needs no extra permission on either platform. If the name does not match (localized app names differ), it prints what is actually frontmost — take a screenshot to see the real window order instead of guessing.

  2. Screenshot — with a labelled grid when you will need to click precise spots:

    ruby <skill_dir>/bin/computer.rb screenshot --grid
    

    It prints image WxH scale S origin (x,y) and writes a sidecar .json next to the PNG. The grid image is the one to read: its magenta lines and pixel labels give exact coordinates, so prefer it over writing your own crop or PIL overlay scripts. --grid 100 sets a denser step; the default is 200.

Read the full file on GitHub · 144 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 18d ago Changed · +2 lines bf8008b182f8
  2. 25d ago First seen · 142 lines · 57 tokens per session scan A aae5295b214b

Subscribe to this mod's changes

computer-use is a skill published in the GitHub repository clacky-ai/openclacky (1,203 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 1,771 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-22.

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