A reference for storing data, moving data through an app, network requests, and common utilities in Apple apps built with Swift.

It is for tasks involving SwiftData, Core Data, Foundation, Combine, database queries, JSON, URL requests, and publishers.

It gives developers the relevant concepts and APIs when working with local data, web data, and asynchronous updates.

apple-data — Skill for Claude Code by Fandhe-AI: A reference for storing data, moving data through an…

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/fandhe-ai/agent-reference-skills/apple-data

Any agent

npx skills add Fandhe-AI/agent-reference-skills --skill apple-data

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fandhe-ai/agent-reference-skills/apple-data.svg)](https://agentmods.dev/skills/fandhe-ai/agent-reference-skills/apple-data)

Your own site

<a href="https://agentmods.dev/skills/fandhe-ai/agent-reference-skills/apple-data"><img src="https://agentmods.dev/badge/skills/fandhe-ai/agent-reference-skills/apple-data.svg" alt="Measured on agentmods" height="20"></a>

Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,821 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00092	$0.01821
Opus 5	$0.00046	$0.00911
Sonnet 5	$0.00018	$0.00364
Haiku 4.5	$0.00009	$0.00182

Measured 6d ago against content hash 2b3bcd27eb7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

apple-data 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 6d 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-data/SKILL.md · 153 lines

The source is not reproduced here

No licence file

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.

6d ago First seen · 153 lines · 92 tokens per session scan A 2b3bcd27eb7d

Subscribe to this mod's changes

apple-data is a skill published in the GitHub repository Fandhe-AI/agent-reference-skills (3 stars, last pushed yesterday), with no licence file. It adds 92 tokens to every session and 1,821 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.

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