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machine-probe

Profile machine hardware, security posture, and recommend an Ollama model tier.

3|Updated Apr 18, 2026
Search Tags:#apple silicon#security posture#ollama#local ai#hardware profiling#machine identity
One-click install
npx skills add https://github.com/garochee33/DSH --skill machine-probe
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: machine-probe
Source: https://github.com/garochee33/DSH/tree/main/kb/claude/skills/machine-probe
Command: npx skills add https://github.com/garochee33/DSH --skill machine-probe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill answers the recurring question of what machine the user is actually on, without forcing them to manually inspect hardware, security settings, or model-compatibility details.

Core Features & Use Cases

  • Hardware profiling: Reports chip family, core count, RAM, NPU TOPS, and memory bandwidth when available.
  • Security posture reporting: Summarizes FileVault, SIP, Gatekeeper, firewall, private DNS, and secrets backend status.
  • Local model guidance: Recommends the best Ollama model tier for the current machine.
  • Use Case: A developer asks whether their laptop can handle a 14B coder model and whether the node is secure enough for local AI work.

Quick Start

Ask the skill what machine you are on and what Ollama model you should pull.

Frequently Asked Questions about machine-probe

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check my hardware specs and security posture for running local AI models?▼

Hardware profiling and security posture reporting provide a single source of truth by reading chip family, core count, RAM, NPU TOPS, and security settings like FileVault and SIP for local AI work.

What Ollama model size should I run on my Apple Silicon machine?▼

Local model guidance recommends the best Ollama model tier for your Apple Silicon machine by evaluating hardware profiling data such as memory bandwidth, RAM, and core count to determine compatibility.

Can I assess if my laptop can handle a 14B coder model locally?▼

Yes, hardware profiling reports chip family, core count, RAM, and memory bandwidth, which determines the best local model recommendation and validates if your laptop can handle a 14B coder model.

Does local machine profiling work for both Apple Silicon and non-Apple systems?▼

Machine profiling applies to hardware-aware model selection and remote or local self-knowledge workflows across both Apple Silicon and non-Apple systems, ensuring accurate node specs for any setup.

What security settings are checked when determining local AI readiness?▼

Security posture reporting summarizes FileVault, SIP, Gatekeeper, firewall, private DNS, and secrets backend status to ensure your node is secure enough for local AI work.

How do I refresh my machine profile to ensure downstream agents get accurate node specs?▼

Refreshing the canonical machine profile updates the single source of truth, which is then read through agents.core.machine to provide accurate hardware and security data for downstream agents.

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