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Vitals

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danielmiessler
Vitals

macOS system performance diagnostics — see how the machine is running and what's slowing it down: CPU/GPU/memory/energy hogs, thermal throttling, memory and swap pressure, disk usage, Spotlight indexing, launchd/startup load, via a deterministic read-only CLI with known-process interpretation (kernel_task, WindowServer, mds_stores). USE WHEN mac slow, system slow, what's slowing down my mac, computer is slow, what's eating CPU, CPU usage, GPU usage, what's using the GPU, memory pressure, RAM usage, swap, runaway process, fans loud, mac running hot, thermal throttling, system health, check my mac, how's my system running, top processes, energy hogs, activity monitor, startup items, launch agents load, system taxed. NOT FOR network/wifi diagnostics, website or deployed-app health monitoring, or security scanning.

Overview

Publisherdanielmiessler
RepositoryLifeOS
Skill nameVitals
Stars
19K
Forks
2.5K
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by danielmiessler on GitHub. Read the source before you install it.

Installation

Install the Vitals AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/danielmiessler/LifeOS.git /tmp/LifeOS
mkdir -p .claude/skills
cp -r /tmp/LifeOS/LifeOS/install/skills/Vitals .claude/skills/Vitals
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vitals in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vitals on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vitals is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Vitals

Read-only macOS performance inspection: a deterministic CLI gathers the numbers, Interpretation.md turns them into a diagnosis instead of a data dump.

Customization

Before executing, check for user customizations at: ~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Vitals/

If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.

Voice Notification

When executing a workflow, do BOTH:

  1. Send voice notification:

    bash
    curl -s -X POST http://localhost:31337/notify \
      -H "Content-Type: application/json" \
      -d '{"message": "Running WORKFLOWNAME in Vitals"}' \
      > /dev/null 2>&1 &
  2. Output text notification: Running **WorkflowName** in **Vitals**...

Workflow Routing

WorkflowTriggerFile
HealthCheck"how's my system", "check my mac", "system health"Workflows/HealthCheck.md
FindCulprit"mac is slow", "what's eating CPU/GPU/memory", "fans loud"Workflows/FindCulprit.md
DeepDiagnosis"full diagnosis", "deep check", chronic/recurring slownessWorkflows/DeepDiagnosis.md

Interpretation reference (load with any workflow): Interpretation.md — thresholds, known-process table, diagnosis shape.

Quick Reference

bash
bun ~/.claude/skills/Vitals/Tools/Vitals.ts check     # fast snapshot (<1s)
bun ~/.claude/skills/Vitals/Tools/Vitals.ts hogs      # live per-process CPU/energy (~3s)
bun ~/.claude/skills/Vitals/Tools/Vitals.ts full      # everything (~4s)
# also: gpu · memory · disk · thermal · startup · --json · --top N

The tool is read-only by contract: it never kills, renices, unloads, or writes system state. Remediation is recommended to the operator, never executed by the skill.

Examples

Example 1: Something feels slow

User: "My Mac is dragging, what's going on?"
→ FindCulprit: run hogs + check + gpu
→ Cross-reference Interpretation.md (is the hog a known background process?)
→ Report: named culprit with two evidence classes, recommended action for approval

Example 2: Routine check

User: "How's my system doing?"
→ HealthCheck: run check
→ One-screen verdict: 🟢/🟡/🔴 per subsystem, abnormalities flagged against thresholds

Example 3: Fans blasting

User: "Why are my fans so loud?"
→ FindCulprit: thermal + hogs + gpu
→ If kernel_task is the top consumer: that IS the cooling response — report the thermal cause, not the process

Gotchas

  • top's first sample is garbage — CPU% is cumulative since boot. The tool always runs -l 2 and parses the SECOND sample; never "optimize" this away.
  • ps -m does not reliably sort by memory on modern macOS (observed mis-ordering by GB-scale RSS). The tool sorts in code; keep it that way.
  • kernel_task high CPU is the thermal system working, not a runaway process — it pins cores to force cooling. Never recommend killing it.
  • macOS "used" memory is not a problem signal. Free RAM is deliberately spent on cache; kern.memorystatus_vm_pressure_level (1 normal / 2 warning / 4 critical) and live swapouts are the real signals.
  • powermetrics requires sudo and runs forever without -n. It's the only accurate source of per-process energy and GPU power — keep it as the optional consent-gated leg in DeepDiagnosis.
  • top -l truncates command names (~16 chars) regardless of COLUMNS in logging mode. Use the PID to identify the full process (ps -p <pid> -o comm=).
  • GPU via ioreg -c IOAccelerator works without sudo on Apple Silicon (Device Utilization % in PerformanceStatistics) but is not guaranteed on every GPU — the tool degrades to an explicit unavailable-message, never a silent blank.
  • pmset -g therm may not report CPU_Speed_Limit on desktops — the tool treats a missing key as not-throttled rather than erroring.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Vitals AI skill do?

macOS system performance diagnostics — see how the machine is running and what's slowing it down: CPU/GPU/memory/energy hogs, thermal throttling, memory and swap pressure, disk usage, Spotlight indexing, launchd/startup load, via a deterministic read-only CLI with known-process interpretation (kernel_task, WindowServer, mds_stores). USE WHEN mac slow, system slow, what's slowing down my mac, computer is slow, what's eating CPU, CPU usage, GPU usage, what's using the GPU, memory pressure, RAM usage, swap, runaway process, fans loud, mac running hot, thermal throttling, system health, check m...

Why use Vitals on TypingMind?

Because you install it once and use it with any model. Vitals is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vitals in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielmiessler/LifeOS/tree/main/LifeOS/install/skills/Vitals. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Vitals?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vitals?

As many as you like. As long as a model supports skills, you can use Vitals with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vitals AI skill free?

Yes. It is published on GitHub by danielmiessler under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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