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apple-silicon

apple-silicon is a skill for Claude Code from Fandhe-AI/agent-reference-skills. It costs 106 tokens per session (1,622 once invoked), scanned A, original, no licence file.

A reference skill for using Apple Silicon GPUs for computation and numerical workloads. Apple Silicon is Apple’s processor family, and the skill covers Metal, MPS, MPSGraph, and MLX APIs.

In plain words
What is it for?
Use it when writing or reviewing Metal Shading Language code, configuring GPU workloads, using MPS or MPSGraph, or building machine-learning code with MLX.
Why use it?
It helps answer implementation questions about GPU kernels, memory, parallel work, matrix operations, machine learning, and performance counters on Apple hardware.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

not rated 3repo today A scan 106 tokens no licence

Good fit Use it when writing or reviewing Metal Shading Language code, configuring GPU workloads, using MPS or MPSGraph, or building machine-learning code with MLX.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fandhe-ai/agent-reference-skills/apple-silicon
View source ↗ Fandhe-AI/agent-reference-skills
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.

Any agent
npx skills add Fandhe-AI/agent-reference-skills --skill apple-silicon
Clone the repo
git clone --depth 1 https://github.com/Fandhe-AI/agent-reference-skills

Made for: Claude Code.

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 apple-silicon

README.md
[![agentmods](https://agentmods.dev/badge/skills/fandhe-ai/agent-reference-skills/apple-silicon/github.svg)](https://agentmods.dev/skills/fandhe-ai/agent-reference-skills/apple-silicon)
Your own site
<a href="https://agentmods.dev/skills/fandhe-ai/agent-reference-skills/apple-silicon"><img src="https://agentmods.dev/badge/skills/fandhe-ai/agent-reference-skills/apple-silicon/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.

agentmods 80×15 button for apple-silicon

Your own site · 80×15
<a href="https://agentmods.dev/skills/fandhe-ai/agent-reference-skills/apple-silicon"><img src="https://agentmods.dev/badge/skills/fandhe-ai/agent-reference-skills/apple-silicon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,622 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 5.1 $0.00106 $0.01622
Opus 5 $0.00053 $0.00811
Sonnet 5 $0.00021 $0.00324
Haiku 4.5 $0.00011 $0.00162

Measured 10d ago against content hash edd985fd9191, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

apple-silicon 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.

skills/apple-silicon/SKILL.md · 138 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 10d ago First seen · 138 lines · 106 tokens per session scan A edd985fd9191

Subscribe to this mod's changes

apple-silicon is a skill published in the GitHub repository Fandhe-AI/agent-reference-skills (3 stars, last pushed today), with no licence file. It adds 106 tokens to every session and 1,622 once invoked, about $0.0005 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.

Hardware and IoTScientific
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