Agent skill

Computer Use Agents

by sickn33 in sickn33/agentic-awesome-skills

Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text.

MITAuto-check passedProductivity & Automation

Install Computer Use Agents

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill computer-use-agents -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills computer-use-agents --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/computer-use-agents .claude/skills/computer-use-agents && 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
computer-use-agents
GitHub stars
47k
Used in
2 other repos
Token cost
~450 tokens
SKILL.md length
196 words
Files
2 (incl. references)
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text.

  • Tasks that involve Desktop control
  • SKILL.md covers Detailed Guide, When to Use and Limitations
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Computer Use Agents is an agent skill from sickn33/agentic-awesome-skills. Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives.

Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/detailed-guide.md`).

It sits in Productivity & Automation, covering Desktop control. It works with OpenAI. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Desktop control

Example prompts

  • “s Computer Use, OpenAI”
  • “/computer-use-agents”

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. 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.

    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

Computer Use Agents loads about 450 tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 196 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~450
With references · SKILL.md plus every file in references/, read only if the agent opens them
~17k

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 sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 196 words, ~450 tokens.

Download SKILL.mdSave it as .claude/skills/computer-use-agents/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
computer-use-agents
description
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives.
risk
critical
source
vibeship-spawner-skills (Apache 2.0)
date_added
2026-02-27

Computer Use Agents

Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control.

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

When to Use

  • User mentions or implies: computer use
  • User mentions or implies: desktop automation agent
  • User mentions or implies: screen control AI
  • User mentions or implies: vision-based agent
  • User mentions or implies: GUI automation
  • User mentions or implies: Claude computer
  • User mentions or implies: OpenAI Operator
  • User mentions or implies: browser agent
  • User mentions or implies: visual agent
  • User mentions or implies: RPA with AI

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, 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 1 other file (references) in skills/computer-use-agents of sickn33/agentic-awesome-skills.

  • SKILL.md
  • references/detailed-guide.md

Open the folder on GitHubat commit ec02547

Used in 2 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Computer Use Agents 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.

Computer Use Agents compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Computer Use Agents this skillsickn33/agentic-awesome-skills47k2 repos~450Automated safety check: PassMIT
Computer Use Agentsdavila7/claude-code-templates32k6 repos~2.4kAutomated safety check: PassMIT
Yichen Codex Chatgptmcncarl/yichen-skills4.3k—~3.8kAutomated safety check: PassCustom licence
Chatgpt Web Researchbear2u/my-skills933—~3.3kAutomated safety check: PassNone
Yichen Chatgpt Web Researchmcncarl/yichen-skills4.3k—~3.4kAutomated safety check: PassCustom licence
Vision SkillsAnionex/agent-vision-toolkit1.2k1 repos~4kAutomated safety check: PassMIT

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Works with

Questions about Computer Use Agents

What does Computer Use Agents do?

Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Computer Use Agents is an agent skill from sickn33/agentic-awesome-skills. Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text.

When should I use Computer Use Agents?

Computer Use Agents fits situations like: tasks that involve Desktop control.

How do I install Computer Use Agents in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill computer-use-agents -a claude-code`. Or copy the skill folder (skills/computer-use-agents in sickn33/agentic-awesome-skills) into .claude/skills/computer-use-agents in your project. Claude Code loads it when a task matches its description.

How do I install Computer Use Agents in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill computer-use-agents -a codex`. Or copy the skill folder (skills/computer-use-agents in sickn33/agentic-awesome-skills) into .agents/skills/computer-use-agents in your project. Codex loads it when a task matches its description.

Can I use Computer Use Agents 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 sickn33/agentic-awesome-skills --skill computer-use-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/computer-use-agents, .gemini/skills/computer-use-agents, .github/skills/computer-use-agents and .opencode/skills/computer-use-agents in your project.

What does Computer Use Agents need to run?

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

Does Computer Use Agents 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 Computer Use Agents 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 Computer Use Agents use?

Computer Use Agents 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 Computer Use Agents use?

About 450 tokens (SKILL.md is roughly 1.8k 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 17k tokens, read only when the agent opens those files.

What are the alternatives to Computer Use Agents?

Skills that share tags, products or a category with Computer Use Agents: Computer Use Agents (davila7/claude-code-templates, 32k stars), Yichen Codex Chatgpt (mcncarl/yichen-skills, 4.3k stars), Chatgpt Web Research (bear2u/my-skills, 933 stars) and Yichen Chatgpt Web Research (mcncarl/yichen-skills, 4.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Computer Use Agents?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.