A macOS command-line tool for inspecting screens and controlling applications, windows, menus, and other visible interface elements.

Use it to capture screenshots or video frames, list apps and windows, check accessibility permissions, click or drag interface elements, send keyboard shortcuts, and run automation scripts.

It lets scripts work with graphical Mac applications instead of relying only on manual clicking.

peekaboo — Skill by understudy-ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/understudy-ai/understudy/peekaboo

Any agent

npx skills add understudy-ai/understudy --skill peekaboo

Clone the repo

git clone --depth 1 https://github.com/understudy-ai/understudy

Made for: Claude Code, Codex.

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,655 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00017	$0.01655
Opus 5	$0.00009	$0.00827
Sonnet 5	$0.00003	$0.00331
Haiku 4.5	$0.00002	$0.00166

Measured yesterday against content hash cd8c261919e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

peekaboo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to peekaboo — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/peekaboo/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Peekaboo

Peekaboo is a full macOS UI automation CLI: capture/inspect screens, target UI elements, drive input, and manage apps/windows/menus. Commands share a snapshot cache and support --json/-j for scripting. Run peekaboo or peekaboo <cmd> --help for flags; peekaboo --version prints build metadata. Tip: run via polter peekaboo to ensure fresh builds.

Features (all CLI capabilities, excluding agent/MCP)

Core

bridge: inspect Peekaboo Bridge host connectivity
capture: live capture or video ingest + frame extraction
clean: prune snapshot cache and temp files
config: init/show/edit/validate, providers, models, credentials
image: capture screenshots (screen/window/menu bar regions)
learn: print the full agent guide + tool catalog
list: apps, windows, screens, menubar, permissions
permissions: check Screen Recording/Accessibility status
run: execute .peekaboo.json scripts
sleep: pause execution for a duration
tools: list available tools with filtering/display options

Interaction

click: target by ID/query/coords with smart waits
drag: drag & drop across elements/coords/Dock
hotkey: modifier combos like cmd,shift,t
move: cursor positioning with optional smoothing
paste: set clipboard -> paste -> restore
press: special-key sequences with repeats
scroll: directional scrolling (targeted + smooth)
swipe: gesture-style drags between targets
type: text + control keys (--clear, delays)

System

app: launch/quit/relaunch/hide/unhide/switch/list apps
clipboard: read/write clipboard (text/images/files)
dialog: click/input/file/dismiss/list system dialogs
dock: launch/right-click/hide/show/list Dock items
menu: click/list application menus + menu extras
menubar: list/click status bar items
open: enhanced open with app targeting + JSON payloads
space: list/switch/move-window (Spaces)
visualizer: exercise Peekaboo visual feedback animations
window: close/minimize/maximize/move/resize/focus/list

Read the full file on GitHub · 191 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

yesterday First seen · 191 lines · 17 tokens per session scan A cd8c261919e1

Subscribe to this mod's changes

peekaboo is a skill published in the GitHub repository understudy-ai/understudy (456 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 1,655 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to peekaboo, differing in 2 lines, and is treated as a copy.

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