anti-sleep

anti-sleep is a skill for Claude Code from sickn33/agentic-awesome-skills. It costs 22 tokens per session (952 once invoked), scanned A, original, MIT.

A macOS command-line workflow for preventing a Mac from sleeping during long builds, downloads, or supervised automation. It uses the built-in caffeinate command and can keep the display awake as well.

In plain words
What is it for?
Use it to keep macOS awake for a fixed duration or until a build or other process finishes. It covers system sleep, display sleep, and running caffeinate around a command.
Why use it?
A sleeping Mac can interrupt a long-running task. This workflow provides timed or process-linked commands so the computer stays awake only for the needed period.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the agentic-awesome-skills plugin — 257 skills shipped together

Good fit Use it to keep macOS awake for a fixed duration or until a build or other process finishes. It covers system sleep, display sleep, and running caffeinate around a command.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sickn33/agentic-awesome-skills/anti-sleep
About the project

AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.

sickn33/agentic-awesome-skills · 48,548 stars · on GitHub · aaskills.tech

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.

Any agent
npx skills add sickn33/agentic-awesome-skills --skill anti-sleep
Clone the repo
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills

Made for: Claude Code.

Or install agentic-awesome-skills, the plugin that ships this one along with the rest of its 257 skills.

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 anti-sleep

README.md
[![agentmods](https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/anti-sleep/github.svg)](https://agentmods.dev/skills/sickn33/agentic-awesome-skills/anti-sleep)
Your own site
<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/anti-sleep"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/anti-sleep/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for anti-sleep

Your own site · 80×15
<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/anti-sleep"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/anti-sleep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 952 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 $0.00022 $0.00952
Opus 5.5 $0.00009 $0.00381
Sonnet 5.5 $0.00004 $0.00190
Haiku 4.5 $0.00002 $0.00095

Measured 2d ago against content hash 6fcf4f7ed912, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

anti-sleep 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 2d 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.

Origin

Copies of this mod

5 near-identical copies found in the catalogue:

plugins/agentic-awesome-skills-claude/skills/anti-sleep/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Anti-Sleep (macOS caffeinate)

When to Use

  • Use when the user wants the Mac to stay awake during a long supervised task.
  • Use when a build, download, or automation run should not be interrupted by sleep.

Keep the Mac awake using the built-in caffeinate command. No install needed.

Quick start — the standard command

caffeinate -i -t 7200       # prevent idle system sleep for 2 hours

Duration is -t <seconds>: 2h = 7200, 7h = 25200, overnight (9h) = 32400.

Aggressiveness levels

Flags Effect
-i prevents idle system sleep only (screen may still dim/lock)
-d prevents display sleep (screen stays on)
-d -i screen on + system awake, when the task needs a visible display
-d -i -s adds -s: prevents system sleep while on AC power; valid only when plugged in
-u -t 1 simulates user activity — wakes the display right now

Default to -i -t <seconds>; add -d only when the task needs the display awake. These assertions do not guarantee continued execution through lid closure, shutdown or loss of power, and do not replace the lock-screen policy.

Tie to a process instead of a timer

caffeinate -d -i -w <PID>          # stays awake until that process exits (great for builds)
caffeinate -i npm run build       # wraps a command; exits when the command finishes

Run it in a visible terminal (cmux pane)

Prefer running it in the user's own terminal pane so it's visible and easy to Ctrl+C. In cmux (read the cmux skill first if interacting with panes):

cmux send --surface surface:<N> "caffeinate -d -i -t 25200\n"

Otherwise run it as a background Bash task. Never block your own foreground shell with it.

Verify and monitor

pgrep -fl caffeinate                       # is it running? shows exact flags
ps -o etime= -p <PID>                      # how long it's been running
pmset -g assertions    # inspect PreventUserIdleSystemSleep / PreventUserIdleDisplaySleep        # confirm sleep assertions are active

Read the full file on GitHub · 93 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.

  1. 2d ago Changed 6fcf4f7ed912
  2. 12d ago Changed · +2 lines aa52573d8238
  3. 1mo ago First seen · 91 lines · 22 tokens per session scan A d5331644b4a4

Subscribe to this mod's changes

anti-sleep is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,548 stars, last pushed 2d ago), licensed MIT. It adds 22 tokens to every session and 952 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-05.