Skills Plugins MCP Prompt Model 博客 我的中心

open-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.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=ifuryst-open-codex-computer-use-skills-open-computer-use-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
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 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. Check the CLI is installed with open-computer-use -h or ocu -h . If installation or setup is missing, read references/installation.md . 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. Inspect available apps before acting: open-computer-use call list_apps . Capture current UI state with open-computer-use call get_app_state --args '{"app":"TextEdit"}' . The default state is usually enough for UI operation. 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" . 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 . Prefer element-targeted actions using element_index from the latest get_app_state result. For multi-step CLI work, use open-computer-use call --calls '<json-array>' so one process can reuse the latest element index mapping. 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 . 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.
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。