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Skills/ifuryst/open-codex-computer-use/open-computer-use
open-computer-use logo

open-computer-use

ifuryst/open-codex-computer-use
813 installs2K stars
Run it on Hostinger, 20% off →Your friend gets 20% off too, using this linkFree API →|Command ExecutionExternal DownloadsPrompt Injection|View on GitHub|Create your own skill →

Installation

npx skills add https://github.com/ifuryst/open-codex-computer-use --skill open-computer-use

Summary

Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows. Use when an agent needs to install, verify, troubleshoot, configure, or operate Open Computer Use through its native CLI, stdio MCP server, or direct Computer Use tool calls.

SKILL.md

Open Computer Use

Overview

Open Computer Use exposes Computer Use as a local CLI and stdio MCP server. It is not Codex.app-specific; adapt the commands and MCP config to the agent runtime you are operating in.

The macOS runtime requires macOS 14.0 or later. Windows and Linux use their own platform runtimes and are not subject to this macOS minimum.

It supports the same core tool surface across macOS, Linux, and Windows: list_apps, get_app_state, click, perform_secondary_action, scroll, drag, type_text, press_key, and set_value.

Core Workflow

  1. On macOS, run sw_vers -productVersion before invoking the CLI and require macOS 14.0 or later. On older versions, explain that the runtime cannot launch; do not recommend doctor or permission changes as a fix for binary incompatibility.
  2. Check the CLI is installed with open-computer-use -h or ocu -h. If installation or setup is missing, read references/installation.md.
  3. On supported macOS versions, run open-computer-use doctor before the first real GUI task. If permissions are missing, ask the user to approve Accessibility and Screen Recording in the onboarding UI.
  4. Inspect available apps before acting: open-computer-use call list_apps.
  5. Capture current UI state with open-computer-use call get_app_state --args '{"app":"TextEdit"}'. The default state is usually enough for UI operation.
  6. When the task needs longer semantic text, such as chat history, email bodies, document text, or long form content, call get_app_state with text_limit: 1000 or text_limit: "max".
  7. When visible long pages or lists appear incomplete even after scrolling, call get_app_state with a larger max_tree_nodes or max_tree_depth.
  8. Prefer element-targeted actions using element_index from the latest get_app_state result.
  9. For multi-step CLI work, use open-computer-use call --calls '<json-array>' so one process can reuse the latest element index mapping.
  10. For agent runtimes that support local MCP servers, configure open-computer-use mcp or ocu mcp and call the exposed Computer Use tools directly. Read references/usage.md.
  11. If communication, permission, or desktop-session access fails, read references/troubleshooting.md.

Operating Rules

  • Treat the target desktop as the user's real session. Do not inspect password managers, unrelated private content, or sensitive apps unless the user explicitly asked for that task.
  • Ask before sending, deleting, purchasing, approving, uploading, or making other externally visible changes.
  • Do not assume Codex.app plugin helpers are available. Use the installed open-computer-use / ocu CLI or an explicit MCP config.
  • Always run get_app_state before using element_index; do not guess indexes across sessions or after large UI changes.
  • Prefer semantic actions and set_value for editable controls. Use coordinate click, scroll, and drag only when the element tree does not expose a safer target.
  • On macOS, do not enable OPEN_COMPUTER_USE_ALLOW_GLOBAL_POINTER_FALLBACKS=1 unless the user explicitly requested click_method: "global" or other diagnostic behavior that may move the real pointer.
  • On Windows and Linux, confirm the command is running inside the logged-in desktop session before assuming GUI automation is available.

Common CLI Actions

open-computer-use -h
ocu -h
open-computer-use doctor
open-computer-use call list_apps
ocu call list_apps
open-computer-use call get_app_state --args '{"app":"TextEdit"}'
open-computer-use call get_app_state --args '{"app":"TextEdit","text_limit":1000}'
open-computer-use call get_app_state --args '{"app":"TextEdit","text_limit":"max"}'
open-computer-use call get_app_state --args '{"app":"Google Chrome","max_tree_nodes":3000,"max_tree_depth":96}'
open-computer-use call click --args '{"app":"TextEdit","element_index":"0"}'
open-computer-use call type_text --args '{"app":"TextEdit","text":"Hello from Open Computer Use"}'

For a short sequence that reuses state in one process:

open-computer-use call --calls '[
  {"tool":"get_app_state","args":{"app":"TextEdit"}},
  {"tool":"press_key","args":{"app":"TextEdit","key":"Return"}}
]'

MCP Usage

For runtimes that can launch local MCP servers over stdio, use:

[mcp_servers.open_computer_use]
command = "open-computer-use"
args = ["mcp"]

Read references/usage.md for JSON config examples, direct tool-call patterns, and platform notes.

References

  • references/installation.md: one-time CLI install, agent MCP install commands, and macOS permissions.
  • references/usage.md: MCP config, direct CLI calls, sequencing, and platform behavior.
  • references/troubleshooting.md: permission, desktop-session, app discovery, and action failures.

Score

0–100
65/ 100

Grade

C

Popularity17/30

813 installs — growing adoption. Source repo has 1,672 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Open Computer Use skill score badge previewScore badge

Markdown

[![Open Computer Use skill](https://www.claudemarket.ai/skills/ifuryst/open-codex-computer-use/open-computer-use/badges/score.svg)](https://www.claudemarket.ai/skills/ifuryst/open-codex-computer-use/open-computer-use)

HTML

<a href="https://www.claudemarket.ai/skills/ifuryst/open-codex-computer-use/open-computer-use"><img src="https://www.claudemarket.ai/skills/ifuryst/open-codex-computer-use/open-computer-use/badges/score.svg" alt="Open Computer Use skill"/></a>

Open Computer Use FAQ

How do I install the Open Computer Use skill?

Run “npx skills add https://github.com/ifuryst/open-codex-computer-use --skill open-computer-use” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Open Computer Use skill do?

Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows. Use when an agent needs to install, verify, troubleshoot, configure, or operate Open Computer Use through its native CLI, stdio MCP server, or direct Computer Use tool calls. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Open Computer Use skill free?

Yes. Open Computer Use is a free, open-source skill published from ifuryst/open-codex-computer-use. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Open Computer Use work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Open Computer Use works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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