Agent skill

Open Computer Use

by iFurySt in iFurySt/open-codex-computer-use

Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows.

MITAuto-check passedProductivity & Automation

Install Open Computer Use

skills CLI
$ npx skills add iFurySt/open-codex-computer-use --skill open-computer-use -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install iFurySt/open-codex-computer-use open-computer-use --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/iFurySt/open-codex-computer-use.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/open-computer-use .claude/skills/open-computer-use && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
open-computer-use
GitHub stars
2.4k
Token cost
~1.5k tokens
SKILL.md length
584 words
Files
5 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows.

  • Works in 12 steps: On macOS, run sw_vers -productVersion… → Check the CLI is installed with… → On supported macOS versions, run… → …
  • An agent needs to install
  • SKILL.md covers Overview, Core Workflow, Operating Rules and Common CLI Actions, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Open Computer Use is an agent skill from iFurySt/open-codex-computer-use. 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.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/installation.md` and `references/troubleshooting.md`).

It sits in Productivity & Automation, covering Desktop control. It works with Model Context Protocol, macOS and Linux. The repository describes itself as: 👾 Open Computer Use – Open-Source Alternative to Codex Computer Use. The licence is MIT.

When your agent uses it

  • An agent needs to install
  • Operate Open Computer Use through its native CLI
  • Stdio MCP server
  • Direct Computer Use tool calls

Example prompts

  • “/open-computer-use”

Workflow steps

12 steps, taken from the first numbered list in SKILL.md.

  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…
  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…
  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…
  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…
  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 '' 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…
  11. For direct code-first orchestration, run ocu capabilities and then use one-shot ocu js or persistent ocu repl. Read references/usage.md.
  12. If communication, permission, or desktop-session access fails, read references/troubleshooting.md.

What it can do on your machine

Read from SKILL.md and the folder at commit 93b8175. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and toml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Open Computer Use loads about 1.5k tokens when it runs, and up to ~6.6k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 584 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from iFurySt/open-codex-computer-use at commit 93b8175, republished under its MIT licence (© iFurySt). 584 words, ~1,454 tokens.

Download SKILL.mdSave it as .claude/skills/open-computer-use/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
open-computer-use
description
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.

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. For direct code-first orchestration, run ocu capabilities and then use one-shot ocu js or persistent ocu repl. Read references/usage.md.
  12. If communication, permission, or desktop-session access fails, read references/troubleshooting.md.
Show full SKILL.md (248 more words)Show less

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", a drag that must drive a window-server drag session (window move, drag-select text, Finder drag-and-drop), or other diagnostic behavior that may move the real pointer. Without it drag reports Drag delivered via app_post and those operations have no effect; see references/usage.md for alternatives.
  • On Windows and Linux, confirm the command is running inside the logged-in desktop session before assuming GUI automation is available.

Common CLI Actions

sh
open-computer-use -h
ocu -h
ocu capabilities --json
ocu js 'nodeRepl.write(6 * 7)'
ocu repl
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:

sh
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:

toml
[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

© iFurySt, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in skills/open-computer-use of iFurySt/open-codex-computer-use.

  • SKILL.md
  • agents/openai.yaml
  • references/installation.md
  • references/troubleshooting.md
  • references/usage.md

Open the folder on GitHubat commit 93b8175

Compare with similar skills

Open Computer Use next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Open Computer Use compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Open Computer Use this skilliFurySt/open-codex-computer-use2.4k—~1.5kAutomated safety check: PassMIT
Browser MCP Agentantibrow/anti-detect-browser-skills9321 repos~4.2kAutomated safety check: WarnMIT
Computer Usexuzhougeng/wisp-science1k—~2.9kAutomated safety check: PassAGPL-3.0
Desktop ActLifecycle-Innovations-Limited/claude-ops540—~560Automated safety check: PassMIT
Computer Use HybridQwenLM/qwen-code-examples143—~623Automated safety check: PassNone
Qwen Cua Driver GUI AutomationQwenLM/qwen-code28k1 repos~16kAutomated safety check: PassApache-2.0

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  • Computer Use

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  • Computer Use Hybrid

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Questions about Open Computer Use

What does Open Computer Use do?

Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows. Open Computer Use is an agent skill from iFurySt/open-codex-computer-use. Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows.

When should I use Open Computer Use?

Open Computer Use fits situations like: an agent needs to install; operate Open Computer Use through its native CLI; stdio MCP server; direct Computer Use tool calls.

How do I install Open Computer Use in Claude Code?

Run `npx skills add iFurySt/open-codex-computer-use --skill open-computer-use -a claude-code`. Or copy the skill folder (skills/open-computer-use in iFurySt/open-codex-computer-use) into .claude/skills/open-computer-use in your project. Claude Code loads it when a task matches its description.

How do I install Open Computer Use in Codex?

Run `npx skills add iFurySt/open-codex-computer-use --skill open-computer-use -a codex`. Or copy the skill folder (skills/open-computer-use in iFurySt/open-codex-computer-use) into .agents/skills/open-computer-use in your project. Codex loads it when a task matches its description.

Can I use Open Computer Use in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add iFurySt/open-codex-computer-use --skill open-computer-use -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/open-computer-use, .gemini/skills/open-computer-use, .github/skills/open-computer-use and .opencode/skills/open-computer-use in your project.

What does Open Computer Use need to run?

SKILL.md names no scripts, command-line tools or credentials: Open Computer Use is instructions for the agent only.

Does Open Computer Use access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Open Computer Use safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Open Computer Use use?

Open Computer Use is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Open Computer Use use?

About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.1k tokens, read only when the agent opens those files.

What are the alternatives to Open Computer Use?

Skills that share tags, products or a category with Open Computer Use: Browser MCP Agent (antibrow/anti-detect-browser-skills, 932 stars), Computer Use (xuzhougeng/wisp-science, 1k stars), Desktop Act (Lifecycle-Innovations-Limited/claude-ops, 540 stars) and Computer Use Hybrid (QwenLM/qwen-code-examples, 143 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Open Computer Use?

iFurySt (a GitHub user) maintains it in iFurySt/open-codex-computer-use, which has 2,352 GitHub stars. The repository was last updated on October 7, 2026.

Source: iFurySt/open-codex-computer-use on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.