hig-technologies

hig-technologies is a skill for Claude Code from raintree-technology/hig-doctor. It costs 216 tokens per session (1,701 once invoked), scanned A, original, MIT.

Apple’s Human Interface Guidelines for adding Apple services such as Siri, Apple Pay, HealthKit, HomeKit, and iCloud to an app. It explains the user-facing patterns and privacy expectations for these integrations.

In plain words
What is it for?
Use it when designing or reviewing integrations with Apple services, including voice commands, payments, health data, smart-home controls, sign-in, maps, accessibility, and in-app purchases.
Why use it?
It helps prevent confusing screens, unexpected behaviour, and requests for more personal data than the app needs. It also provides guidance for handling permissions, payments, errors, and user choices.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the apple-hig-skills plugin — 14 skills shipped together

not rated 126repo +4 6d ago A scan Socket: passSnyk: warnSkillSpector: warn 216 tokens original MIT

Good fit Use it when designing or reviewing integrations with Apple services, including voice commands, payments, health data, smart-home controls, sign-in, maps, accessibility, and in-app purchases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/raintree-technology/hig-doctor/hig-technologies
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 raintree-technology/hig-doctor --skill hig-technologies
Clone the repo
git clone --depth 1 https://github.com/raintree-technology/hig-doctor

Made for: Claude Code.

Or install apple-hig-skills, the plugin that ships this one along with the rest of its 14 skills.

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 hig-technologies

README.md
[![agentmods](https://agentmods.dev/badge/skills/raintree-technology/hig-doctor/hig-technologies/github.svg)](https://agentmods.dev/skills/raintree-technology/hig-doctor/hig-technologies)
Your own site
<a href="https://agentmods.dev/skills/raintree-technology/hig-doctor/hig-technologies"><img src="https://agentmods.dev/badge/skills/raintree-technology/hig-doctor/hig-technologies/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 hig-technologies

Your own site · 80×15
<a href="https://agentmods.dev/skills/raintree-technology/hig-doctor/hig-technologies"><img src="https://agentmods.dev/badge/skills/raintree-technology/hig-doctor/hig-technologies.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 216 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,701 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. Third-party audits
  • Socket pass 27 Apr 2026
  • Snyk warn 27 Apr 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Memory Poisoning · line 28
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
How audits are shown
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 5.1 $0.00216 $0.01701
Opus 5 $0.00108 $0.00851
Sonnet 5 $0.00043 $0.00340
Haiku 4.5 $0.00022 $0.00170

Measured 11d ago against content hash 8c115fb78bc1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

hig-technologies 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/hig-technologies/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apple HIG: Technologies

Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.

Key Principles

  1. Apple technologies extend app capabilities through system integration. Each technology has established user-facing patterns; deviating creates confusion and erodes trust.

  2. Privacy and user control are paramount. Especially for health, payment, and identity technologies. Request only needed data, explain why, respect choices.

  3. Siri: natural, predictable, recoverable. Clear conversational intent phrases that complete quickly and confirm results. Support App Shortcuts for proactive suggestions. Handle errors with clear fallbacks.

  4. Payments: transparent and frictionless. Standard Apple Pay button styles. Never ask for card details when Apple Pay is available. Clearly describe what the user is buying, the price, and whether it's one-time or subscription.

  5. Health data is deeply personal. Explain the health benefit before requesting access. CareKit tasks should be encouraging. ResearchKit consent flows must be thorough, readable, and respect autonomy.

  6. HomeKit: simple and reliable. Immediate response when controlling devices. Clear device state. Graceful handling of connectivity issues.

  7. AR: genuine value, not gimmicks. Use AR when spatial context improves understanding. Guide setup (surface, lighting, space). Provide clear exit back to standard interaction.

  8. ML and generative AI: enhance without surprising. Smart suggestions, image recognition, text prediction. Clearly attribute AI-generated content. Controls to edit, regenerate, or dismiss. Let users correct mistakes.

  9. Sign in with Apple as top option. Standard button styles. Respect email hiding preference. ID Verifier: guided flows, don't store sensitive data beyond what verification requires.

  10. iCloud: invisible and reliable sync. Data appears on all devices without manual intervention. Handle conflicts gracefully. Never lose data.

Read the full file on GitHub · 108 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. 11d ago First seen · 108 lines · 216 tokens per session scan A 8c115fb78bc1

Subscribe to this mod's changes

hig-technologies is a skill published in the GitHub repository raintree-technology/hig-doctor (126 stars, last pushed 6d ago), licensed MIT. It adds 216 tokens to every session and 1,701 once invoked, about $0.0011 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 2026-08-30.

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