computer-use-agents-2026
Design and operate browser and desktop agents that rely on screenshots, mouse and keyboard control, or hybrid bash/editor/computer loops.
Skill by Biomedical OS Team
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mdbabumiamssm-computer-use-agents-2026
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: design
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/computer-use-agents-2026
What's inside
- Skill name
computer-use-agents-2026- Description
- Design and operate browser and desktop agents that rely on screenshots, mouse and keyboard control, or hybrid bash/editor/computer loops. Use when deciding between DOM automation, browser agents, and full computer-use workflows.
- License
- MIT
- Metadata
- author: Biomedical OS Team · version: 2026.04
- Instructions
- 26 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "computer-use-agents-2026" does not match folder "Computer_Use_Agents_2026"
- allowed-tools: must be a space-separated string
Files (3)
- SKILL.md
- openai.yaml · agents/
- sources.md · references/
SKILL.md (first lines)
# Computer Use Agents (2026) Use this skill when the agent must operate a real browser or desktop surface, not just call APIs or script a DOM. ## Workflow 1. Classify the surface first: deterministic browser automation, screenshot-based browser agent, or full desktop computer use. 2. Prefer deterministic browser tooling when DOM access is sufficient; escalate to computer-use only when visual grounding or arbitrary GUI control is required. 3. Select the runtime deliberately: OpenAI computer use, Anthropic computer-use plus bash/text editor, or a sandboxed browser-agent stack. 4. Run in an isolated VM, container, or controlled browser environment with minimal credentials, explicit checkpoints, and action logging. 5. Evaluate against representative UI tasks and benchmark-style scenarios before production rollout. ## Guardrails - Separate test and production accounts, cookies, and browser profiles. - Require human checkpoints for login, payments, destructive actions, and data export. - Record screenshots, actions, and stop reasons for every validation run. - Keep display size, action rate, and retry policy explicit so runs are reproducible. ## Output Requirements - State whether the workflow uses browser automation, browser agenting, or full computer use. - State the runtime and isolation model. - State the approval/auth policy and one concrete stop condition.
From mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-, MIT.
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Signals
- Stars
- 36
- Forks
- 8
- Open issues
- 0
- Last commit (this folder)
- Apr 20, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 2026.04
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
computer-use-agents-2026 skill. Agent Mart. https://agentmart.dev/skills/mdbabumiamssm-computer-use-agents-2026 (last updated 2026-10-24)