A set of Apple design guidelines for how people use touch, pointers, keyboards, Apple Pencil, voice, eyes, controllers, and other input methods. Apple HIG means Apple's Human Interface Guidelines.

Use it when designing gestures, Pencil drawing, keyboard navigation, focus behavior, remote controls, eye tracking, or other input interactions.

It helps make controls behave predictably across Apple devices and gives users clear feedback when they act.

hig-inputs — Skill for Claude Code by raintree-technology

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-inputs

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/raintree-technology/hig-doctor/hig-inputs/github.svg)](https://agentmods.dev/skills/raintree-technology/hig-doctor/hig-inputs)

Your own site

<a href="https://agentmods.dev/skills/raintree-technology/hig-doctor/hig-inputs"><img src="https://agentmods.dev/badge/skills/raintree-technology/hig-doctor/hig-inputs/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/raintree-technology/hig-doctor/hig-inputs"><img src="https://agentmods.dev/badge/skills/raintree-technology/hig-doctor/hig-inputs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 181 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,371 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 26 Apr 2026
Snyk pass 26 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 Prompt Injection · line 28
This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.

Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00181	$0.01371
Opus 5	$0.00090	$0.00685
Sonnet 5	$0.00036	$0.00274
Haiku 4.5	$0.00018	$0.00137

Measured 11d ago against content hash 28aac5b39b80, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

hig-inputs 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:

hig-inputs — 100% identical, 0 lines differ

skills/hig-inputs/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apple HIG: Inputs

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

Key Principles

Support multiple input methods. Touch, pointer, keyboard, pencil, voice, eyes, hands, controllers. Design for the inputs available on each platform. On iPadOS, support both touch and pointer; on macOS, both pointer and keyboard.
Consistent feedback for every input action. Visible, audible, or haptic response.
Standard gestures must behave consistently. Tap to activate, swipe to scroll/navigate, pinch to zoom, long press for context menus, drag to move. Don't override system gestures (edge swipes for back, Home, notifications).
Use standard recognizers; keep custom gestures discoverable. Apple's built-in recognizers handle edge cases and accessibility. If you add non-standard gestures, provide hints or coaching to teach them.
Apple Pencil: precision drawing, markup, and selection. Support pressure, tilt, and hover. Distinguish finger from Pencil when appropriate (finger pans, Pencil draws).
Support Scribble in text fields. Users expect to write with Pencil in any text input.
Keyboard shortcuts and full navigation. Standard shortcuts (Cmd+C/V/Z) plus custom ones visible in the iPadOS Command key overlay. Logical tab order.
Respect the software keyboard. Adjust layout when keyboard appears. Use keyboard-avoidance APIs.
Game controllers: MFi controllers with on-screen fallbacks. Map to extended gamepad profile, sensible defaults, remappable. Always offer touch or keyboard alternatives.
Pointer and trackpad: native feel. Hover effects, pointer shape adaptation, standard cursor behaviors. Two-finger scroll, pinch to zoom, swipe to navigate.
Digital Crown: primary scrolling and value-adjustment input on watchOS. Scrolling lists, adjusting values, navigating views. Haptic feedback at detents.
Eyes and spatial (visionOS): look and pinch. Generous hit targets (eye tracking is less precise than touch). Avoid sustained gaze for activation. Direct hand manipulation in immersive experiences.

Read the full file on GitHub · 95 lines

Files

What ships with it

13 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.

11d ago First seen · 95 lines · 181 tokens per session scan A 28aac5b39b80

Subscribe to this mod's changes

hig-inputs is a skill published in the GitHub repository raintree-technology/hig-doctor (126 stars, last pushed 6d ago), licensed MIT. It adds 181 tokens to every session and 1,371 once invoked, about $0.0009 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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