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.
npx skills add lingxling/awesome-skills-cn --skill anti-sleepgit clone --depth 1 https://github.com/lingxling/awesome-skills-cnWrote 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.
[](https://agentmods.dev/skills/lingxling/awesome-skills-cn/anti-sleep)<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/anti-sleep"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/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.
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/anti-sleep"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/anti-sleep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00022 | $0.00892 |
| Opus 5.5 | $0.00009 | $0.00357 |
| Sonnet 5.5 | $0.00004 | $0.00178 |
| Haiku 4.5 | $0.00002 | $0.00089 |
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 10d 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.
This is a copy
100% identical to anti-sleep — 6 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.
How it starts
The opening of the file, as written. The whole thing — 91 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 -d -i -t 7200 # full power: screen stays on + no idle 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 |
default choice — screen on + system awake |
-d -i -s |
adds -s: prevents sleep even on AC power semantics; -s only works when plugged in |
-u -t 1 |
simulates user activity — wakes the display right now |
Default to -d -i -t <seconds> unless the user says otherwise.
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 | grep -i deny # confirm sleep assertions are active
Gotcha: caffeinate prints nothing and holds the prompt — it looks "stuck" or like Enter wasn't pressed. It isn't stuck. Verify with pgrep, not by looking at the terminal.
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.
- 10d ago First seen · 91 lines · 22 tokens per session scan A d5331644b4a4
anti-sleep is a skill published in the GitHub repository lingxling/awesome-skills-cn (312 stars, last pushed 10d ago), licensed MIT. It adds 22 tokens to every session and 892 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to anti-sleep, differing in 6 lines, and is treated as a copy.
Other skills, from other repositories
anti-sleep
Keep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs.
mm-resume
A workflow for restoring project context after starting a new Claude Code session or clearing the conversation. It reads project notes, recent session information, version-control status, and available planning files.
mm-setup
A setup guide that personalizes a shared mm system for one user. It asks for details such as your name, work area, tools, language, and Obsidian vault location, then saves them in private configuration files.
mm
A dispatcher that provides short /mm commands for project setup, session recovery, project overviews, and workflow checks. It maps these aliases to longer system commands.
file-organizer
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
notion-meeting-intelligence
Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.