apple-on-device-ai-macos

apple-on-device-ai-macos is a skill for Claude Code, Codex from LaughingJackalope/macos-skills. It costs 89 tokens per session (4,424 once invoked), scanned A, original, no licence file.

A macOS development guide for adding AI models that run on the device. It covers Apple's Foundation Models and Core ML, MLX Swift, llama.cpp, the Neural Engine, and ways to package or isolate models.

In plain words
What is it for?
It is for building macOS features that run language or other machine-learning models locally, including model tool calls, deployment, and isolated inference.
Why use it?
It gathers implementation guidance for several on-device AI approaches in one place, including how models use Mac hardware and where they run.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for building macOS features that run language or other machine-learning models locally, including model tool calls, deployment, and isolated inference.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/laughingjackalope/macos-skills/apple-on-device-ai-macos
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 LaughingJackalope/macos-skills --skill apple-on-device-ai-macos
Clone the repo
git clone --depth 1 https://github.com/LaughingJackalope/macos-skills

Made for: Claude Code, Codex.

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-on-device-ai-macos

README.md
[![agentmods](https://agentmods.dev/badge/skills/laughingjackalope/macos-skills/apple-on-device-ai-macos/github.svg)](https://agentmods.dev/skills/laughingjackalope/macos-skills/apple-on-device-ai-macos)
Your own site
<a href="https://agentmods.dev/skills/laughingjackalope/macos-skills/apple-on-device-ai-macos"><img src="https://agentmods.dev/badge/skills/laughingjackalope/macos-skills/apple-on-device-ai-macos/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-on-device-ai-macos

Your own site · 80×15
<a href="https://agentmods.dev/skills/laughingjackalope/macos-skills/apple-on-device-ai-macos"><img src="https://agentmods.dev/badge/skills/laughingjackalope/macos-skills/apple-on-device-ai-macos.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,424 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 $0.00089 $0.04424
Opus 5 $0.00044 $0.02212
Sonnet 5 $0.00018 $0.00885
Haiku 4.5 $0.00009 $0.00442

Measured 11d ago against content hash 73c8e3cbbc38, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

apple-on-device-ai-macos 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 11d 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.

apple-on-device-ai-macos/SKILL.md · 405 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

1 file 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. 11d ago First seen · 405 lines · 89 tokens per session scan A 73c8e3cbbc38

Subscribe to this mod's changes

apple-on-device-ai-macos is a skill published in the GitHub repository LaughingJackalope/macos-skills (2 stars, last pushed 3mo ago), with no licence file. It adds 89 tokens to every session and 4,424 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

ml-kit-genai-prompt-api

Analyzes Android codebases to implement ML Kit GenAI Prompt API. Use this skill to send natural language requests on-device to Gemini Nano, use structured output with Prompt API, implement prefix caching, optimize the current prompt, or apply best practices.".

android/skills · 57 tokens

model-authoring

Empirical rules for authoring PyTorch models for on-device execution on Apple platforms, covering energy-efficient inference, scalable compute, and correctness testing. Use this skill whenever the user is writing, debugging, or reviewing PyTorch model code intended for on-device execution — even if they don't…

apple/coreai-models · 95 tokens

working-with-coreai

Use this skill whenever the user mentions coreai-torch, TorchConverter, coreai-build, AIModel, AIProgram, .aimodel, or wants to export/compile/run a PyTorch model on Apple silicon (iPhone, iPad, Mac). Also triggers for "deploy on device", "optimize for on-device performance", onboarding new models to Core AI, or…

apple/coreai-models · 91 tokens

axiom-ai

Use when implementing, testing, or evaluating ANY Apple Intelligence, on-device AI, or speech-to-text feature. Covers Foundation Models, @Generable, LanguageModelSession, Tool protocol, eval suites, model-as-judge scoring, SpeechTranscriber, CoreML.

CharlesWiltgen/Axiom · 57 tokens

firebase-ai

Use when setting up firebaseai, generating text/chat with Gemini, streaming AI output, building multimodal prompts, or handling AI errors.

evanca/flutter-ai-rules · 30 tokens

frontend-a11y

Accessibility patterns for React and Next.js — semantic HTML, ARIA attributes, form labeling, keyboard navigation, focus management, and screen reader support. Use when building any interactive UI component or form.

ufy2024/AuC · 44 tokens