computer-use

computer-use is a skill for Claude Code, Codex from zhourong12/cursor-bridge. It costs 121 tokens per session (2,313 once invoked), scanned A, original, MIT.

A guide for operating local desktop applications through accessibility information, screenshots, and safe interface actions. It uses the Orca command-line tool to inspect windows and interact with controls.

In plain words
What is it for?
Use it to list applications, inspect visible screens, click controls, type text, press keys, scroll, drag items, or set values without submitting forms or making other restricted changes.
Why use it?
It provides a repeatable way for an agent to read and operate desktop software when direct programmatic access is unavailable.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/zhourong12/cursor-bridge/computer-use
Any agent
npx skills add zhourong12/cursor-bridge --skill computer-use
Clone the repo
git clone --depth 1 https://github.com/zhourong12/cursor-bridge

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/zhourong12/cursor-bridge/computer-use.svg)](https://agentmods.dev/skills/zhourong12/cursor-bridge/computer-use)
Your own site
<a href="https://agentmods.dev/skills/zhourong12/cursor-bridge/computer-use"><img src="https://agentmods.dev/badge/skills/zhourong12/cursor-bridge/computer-use.svg" alt="Measured on agentmods" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,313 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00121 $0.02313
Opus 5 $0.00060 $0.01156
Sonnet 5 $0.00024 $0.00463
Haiku 4.5 $0.00012 $0.00231

Measured 3d ago against content hash 7f5a7bbe8b2f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d ago.

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.

.agents/skills/computer-use/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Computer Use

Use this skill for desktop UI through orca computer. When the requested target is a website or web app, operate the desktop browser app/window that contains the page.

Preconditions

  • Prefer orca computer ...; on Linux, use orca-ide computer ... if orca is unavailable. In this Orca worktree, use ./config/scripts/orca-dev computer ... only when testing the local dev runtime.
  • Prefer --json. Screenshot bytes are omitted from JSON and written to screenshot.path.
  • Do not push, submit forms, send messages, buy items, delete data, change account settings, or expose secrets unless the user explicitly asked for that action.
  • If an app contains sensitive content, read only what the user requested.
orca status --json
orca computer capabilities --json

Core Loop

orca computer list-apps --json
orca computer get-app-state --app com.spotify.client --json
orca computer click --app com.spotify.client --element-index 42 --json

Use the fresh state returned by each action for the next element index. Element indexes are the numeric labels shown in the tree; they may be sparse when noisy sections are omitted, so never infer valid indexes from elementCount or "Visible elements." Element indexes are short-lived and go stale after delays, navigation, focus changes, scrolling, window changes, or app re-rendering.

App Selectors

Prefer bundle IDs from list-apps; names are acceptable when unambiguous. Use pid:<number> only when bundle ID or name matching is ambiguous.

orca computer get-app-state --app com.microsoft.edgemac --json
orca computer get-app-state --app Spotify --json
orca computer get-app-state --app pid:12345 --json

For apps with multiple windows or ambiguous titles, run list-windows first. Prefer --window-id <id> when the listed id is not none; otherwise use --window-index <n>. Once you choose a window, pass the same selector to get-app-state and later actions until the target window changes.

Read the full file on GitHub · 142 lines

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. 3d ago First seen · 142 lines · 121 tokens per session scan A 7f5a7bbe8b2f

Subscribe to this mod's changes

computer-use is a skill published in the GitHub repository zhourong12/cursor-bridge (2 stars, last pushed 2mo ago), licensed MIT. It adds 121 tokens to every session and 2,313 once invoked, about $0.0006 per session on Opus 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 2026-08-31.

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