machine-profile

machine-profile is a skill for Claude Code, Codex from xiaolai/mac-it-guy-pro. It costs 66 tokens per session (2,912 once invoked), scanned A, original, MIT.

A plain-Markdown memory system for recording what is known about a computer. It tracks where each fact came from, when it should be checked again, and when outdated information should be retired.

In plain words
What is it for?
Use it to record and review hardware, software, storage, usage patterns, diagnostic visits, and changes to the machine's profile.
Why use it?
It prevents old observations about the machine from being treated as current facts during later troubleshooting.

Skill for Claude CodeCodex

Part of the mac-it-guy-pro plugin — 8 skills, 12 commands, 4 agents, 2 hooks shipped together

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.

agentmods
npx agentmods add skills/xiaolai/mac-it-guy-pro/machine-profile
Any agent
npx skills add xiaolai/mac-it-guy-pro --skill machine-profile
Clone the repo
git clone --depth 1 https://github.com/xiaolai/mac-it-guy-pro

Made for: Claude Code, Codex.

Or install mac-it-guy-pro, the plugin that ships this one along with the rest of its 8 skills, 12 commands, 4 agents, 2 hooks.

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 machine-profile

README.md
[![agentmods](https://agentmods.dev/badge/skills/xiaolai/mac-it-guy-pro/machine-profile.svg)](https://agentmods.dev/skills/xiaolai/mac-it-guy-pro/machine-profile)
Your own site
<a href="https://agentmods.dev/skills/xiaolai/mac-it-guy-pro/machine-profile"><img src="https://agentmods.dev/badge/skills/xiaolai/mac-it-guy-pro/machine-profile.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,912 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00066 $0.02912
Opus 5 $0.00033 $0.01456
Sonnet 5 $0.00013 $0.00582
Haiku 4.5 $0.00007 $0.00291

Measured 4d ago against content hash 8781d1791c83, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

machine-profile 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 4d 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.

skills/machine-profile/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Machine Profile — memory that expires honestly

The profile is the IT guy's memory. It is plain Markdown the user can open, read, and edit — never a hidden database. Everything in it must be something they could verify themselves.

The failure mode this schema exists to prevent: ten commands write here and, without discipline, none retire anything. A profile that only grows becomes a landfill of half-true statements, and stale beliefs are worse than no beliefs — a conclusion drawn a year ago and never retested silently biases every future diagnosis toward a cause that may no longer exist.

Provenance decides expiry — tag every fact

How a fact was learned determines how it dies. Tag each one inline; the tag is part of the line, not metadata elsewhere.

Class Written as Lifecycle
Measured (measured 2026-07-29) Never trusted as current. Disk space, memory, macOS version, battery. The stored number is a baseline to compare against, not a fact — any command needing the value re-reads it. Refresh the date whenever re-read
Observed (observed 2026-07-29) Cheap to re-observe: file counts, folder habits, dominant file types. Refresh on the next command that looks
Told (you told me 2026-07-29) The user's own words: name, work, goals, preferences. Only the user may invalidate these. Never auto-expire, never quietly rewrite
Concluded (concluded 2026-07-29, retest by 2026-10-29) The dangerous class. A diagnosis, a quirk, a cause-and-effect the IT guy inferred. Every one carries a retest date and a way to retest — see below
Resolved moves to history.md No longer live. Demoted with the date and what closed it

A fact with no tag is a bug. When you find one, tag it with what you can establish and today's date, or demote it.

Conclusions must carry their own retest

This is the rule that keeps the profile honest. A conclusion without a retest is a rumour with a date on it.

Read the full file on GitHub · 169 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. 4d ago First seen · 169 lines · 66 tokens per session scan A 8781d1791c83

Subscribe to this mod's changes

machine-profile is a skill published in the GitHub repository xiaolai/mac-it-guy-pro (5 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 2,912 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

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