Peekaboo: macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire

by openclaw · MCP Server · ★ 5.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install Peekaboo

brew install steipete/tap/peekaboo
npx -y @steipete/peekaboo --version

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 76/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars5,437
Forks415
LanguageSwift
CategoryMCP Server
LicenseMIT
Quality Score76/100
Open Issues13
Last Updated2026-11-03
Created2025-05-22
Platformscli, mcp
Est. Tokens~16k

About Peekaboo

Peekaboo 🫣 — Mac automation that sees the screen and does the clicks. Peekaboo is a macOS CLI and menu-bar app for screen capture, accessibility inspection, and native UI automation. Use it directly, let its agent plan multi-step work, or expose the same tool

Compatible Skills

These tools work well together with Peekaboo for enhanced workflows:

  • wb — semantic(0.18)+complementary+same_lang+shared_platform (46%)
  • AXorcist — semantic(0.18)+complementary+same_lang+shared_platform (46%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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