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:
-
Send voice notification:
bashcurl -s -X POST http://localhost:31337/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running WORKFLOWNAME in Vitals"}' \ > /dev/null 2>&1 & -
Output text notification:
Running **WorkflowName** in **Vitals**...
Workflow Routing
| Workflow | Trigger | File |
|---|---|---|
| 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 slowness | Workflows/DeepDiagnosis.md |
Interpretation reference (load with any workflow): Interpretation.md — thresholds, known-process table, diagnosis shape.
Quick Reference
bashbun ~/.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 2and parses the SECOND sample; never "optimize" this away.ps -mdoes 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_taskhigh 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. powermetricsrequires 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 -ltruncates 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 IOAcceleratorworks 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 thermmay not reportCPU_Speed_Limiton desktops — the tool treats a missing key as not-throttled rather than erroring.

