peekaboo

peekaboo is a skill for Claude Code, Codex from ruilisi/lsbot. It costs 17 tokens per session (1,656 once invoked), scanned A, original, no licence file.

A tool for capturing and automating actions in macOS apps through the Peekaboo command-line program.

In plain words
What is it for?
Use it to record macOS UI interactions and run them automatically from command-line workflows.
Why use it?
It helps repeat or script tasks that would otherwise require manual clicking through macOS interfaces.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

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/ruilisi/lsbot/peekaboo
Any agent
npx skills add ruilisi/lsbot --skill peekaboo
Clone the repo
git clone --depth 1 https://github.com/ruilisi/lsbot

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for peekaboo

README.md
[![agentmods](https://agentmods.dev/badge/skills/ruilisi/lsbot/peekaboo.svg)](https://agentmods.dev/skills/ruilisi/lsbot/peekaboo)
Your own site
<a href="https://agentmods.dev/skills/ruilisi/lsbot/peekaboo"><img src="https://agentmods.dev/badge/skills/ruilisi/lsbot/peekaboo.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,656 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00017 $0.01656
Opus 5 $0.00009 $0.00828
Sonnet 5 $0.00003 $0.00331
Haiku 4.5 $0.00002 $0.00166

Measured 6d ago against content hash bb06f126ec6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 6d ago.

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.

bundled-skills/peekaboo/SKILL.md · 191 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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.

  1. 6d ago First seen · 191 lines · 17 tokens per session scan A bb06f126ec6c

Subscribe to this mod's changes

peekaboo is a skill published in the GitHub repository ruilisi/lsbot (407 stars, last pushed 4mo ago), with no licence file. It adds 17 tokens to every session and 1,656 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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