apple-hig-expert

apple-hig-expert is a skill for Codex from bestagentkits/agency-skills. It costs 109 tokens per session (1,415 once invoked), scanned A, original, MIT.

A design and review guide for Apple-platform apps, including iPhone, Mac, Apple Watch, and Vision Pro interfaces. It uses Apple's Human Interface Guidelines, the rules and recommendations for how these interfaces should look and behave.

In plain words
What is it for?
Designing a new Apple-platform interface or auditing an existing mockup or app, including navigation choices, visual design, contrast ratios, and measurable touch-target sizes.
Why use it?
It helps identify usability, accessibility, contrast, layout, and platform-convention problems in an app design. The guidance is checked against current Apple interface standards when needed.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Designing a new Apple-platform interface or auditing an existing mockup or app, including navigation choices, visual design, contrast ratios, and measurable touch-target sizes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bestagentkits/agency-skills/apple-hig-expert
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 bestagentkits/agency-skills --skill apple-hig-expert
Clone the repo
git clone --depth 1 https://github.com/bestagentkits/agency-skills

Made for: 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-hig-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/bestagentkits/agency-skills/apple-hig-expert/github.svg)](https://agentmods.dev/skills/bestagentkits/agency-skills/apple-hig-expert)
Your own site
<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/apple-hig-expert"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/apple-hig-expert/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-hig-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/apple-hig-expert"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/apple-hig-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,415 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 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 $0.00109 $0.01415
Opus 5 $0.00055 $0.00707
Sonnet 5 $0.00022 $0.00283
Haiku 4.5 $0.00011 $0.00142

Measured 12d ago against content hash 85c5aaa9653a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

apple-hig-expert 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/hig_checker.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/claude-skills/apple-hig-expert/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apple HIG Expert

Design and audit apps against the Apple Human Interface Guidelines (HIG, developer.apple.com/design/human-interface-guidelines), including the Liquid Glass design language. HIG content evolves with each OS release — when a claim matters, verify against the live HIG pages cited in references/.

Before Starting

If product-context.md or ios-design-context.md exists, read it before asking questions. Then gather:

  1. Platform target: iOS, macOS, watchOS, or visionOS?
  2. Current state: new design or auditing an existing mockup/code?
  3. App category: utility, productivity, game, social, etc.

Modes

  • Mode 1 — Design from scratch: pick the platform navigation paradigm and layout primitives first (see references/platform-specifics.md), then apply typography and semantic color (references/visual-design.md).
  • Mode 2 — HIG audit: fill in templates/hig-audit-template.md, run scripts/hig_checker.py on every measurable element, and deliver a scored report (see Worked example below).

The Compliance Tool

scripts/hig_checker.py (stdlib-only) has three subcommands:

# 1. Contrast ratio (WCAG formula; pass >= 4.5:1 for normal text)
python3 scripts/hig_checker.py contrast "#8E8E93" "#FFFFFF"
# -> Contrast Ratio: 3.26 [FAILED]

# 2. Tap-target size (pass >= 44x44 pt per HIG)
python3 scripts/hig_checker.py target 32 32
# -> Tap Target: 32x32 [FAILED]

# 3. Batch audit from JSON -> scorecard (starts at 100, -10 per violation)
python3 scripts/hig_checker.py batch audit.json

Batch input shape:

{
  "checks": [
    {"type": "contrast", "name": "caption-on-card", "fg": "#8E8E93", "bg": "#FFFFFF"},
    {"type": "target", "name": "close-button", "w": 32, "h": 32}
  ]
}

Scorecard rubric: the batch score starts at 100 and subtracts 10 per failed check; violations are listed by element name. 90-100 = ship, 70-80 = fix before release, below 70 = systematic rework. Checks the tool cannot measure (VoiceOver labels, Dynamic Type behavior, Reduce Transparency) are assessed manually via the audit template and tagged with confidence.

Read the full file on GitHub · 109 lines

Files

What ships with it

6 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. 12d ago First seen · 109 lines · 109 tokens per session scan A 85c5aaa9653a

Subscribe to this mod's changes

apple-hig-expert is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 109 tokens to every session and 1,415 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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