GroundRules: Skill for Claude Code

.agents/archive/v3/skill_hig-doctor/skills/hig-platforms/SKILL.md

hig-platforms is a skill for Claude Code, Codex from chama-x/GroundRules. It costs 168 tokens per session (1,180 once invoked), scanned A, a copy of hig-platforms, MIT.

A design guide for Apple platforms, including iPhone, iPad, Mac, Apple TV, Apple Vision Pro, and Apple Watch. It explains how each platform's screen, input methods, and conventions affect interface design.

In plain words
What is it for?
Use it when designing or reviewing interfaces for iOS, iPadOS, macOS, tvOS, visionOS, watchOS, or an app that supports several of them.
Why use it?
It helps avoid treating every Apple device like the same product and reduces mismatches with how people use each platform.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is chama-x/GroundRules's own configuration. It tells Claude Code and Codex how to work on GroundRules itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything GroundRules configures →

Reuse

Borrowing it

Nothing to install: this file belongs to chama-x/GroundRules. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/chama-x/GroundRules/master/.agents/archive/v3/skill_hig-doctor/skills/hig-platforms/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/chama-x/GroundRules

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 hig-platforms

README.md
[![agentmods](https://agentmods.dev/badge/skills/chama-x/groundrules/hig-platforms/github.svg)](https://agentmods.dev/skills/chama-x/groundrules/hig-platforms)
Your own site
<a href="https://agentmods.dev/skills/chama-x/groundrules/hig-platforms"><img src="https://agentmods.dev/badge/skills/chama-x/groundrules/hig-platforms/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-platforms

Your own site · 80×15
<a href="https://agentmods.dev/skills/chama-x/groundrules/hig-platforms"><img src="https://agentmods.dev/badge/skills/chama-x/groundrules/hig-platforms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 168 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,180 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 100% copy Near-identical to another mod 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 $0.00168 $0.01180
Opus 5.5 $0.00067 $0.00472
Sonnet 5.5 $0.00034 $0.00236
Haiku 4.5 $0.00017 $0.00118

Measured 1mo ago against content hash a2681ef51856, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hig-platforms 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 1mo 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

This is a copy

100% identical to hig-platforms — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/archive/v3/skill_hig-doctor/skills/hig-platforms/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apple HIG: Platform Design

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

Key Principles

  1. Each platform has a distinct identity. Do not port designs between platforms. Respect each platform's conventions, interaction models, and user expectations.

  2. iOS: touch-first. Direct manipulation on a handheld screen. Optimize for one-handed use. Navigation uses tab bars and push/pop stacks.

  3. iPadOS: expanded canvas. Support Split View, Slide Over, and Stage Manager. Use sidebars and multi-column layouts. Support pointer and keyboard alongside touch.

  4. macOS: pointer and keyboard. Dense information display is acceptable. Use menu bars, toolbars, and keyboard shortcuts extensively. Windows are resizable with precise control.

  5. tvOS: remote and focus. Viewed from a distance. Design for the Siri Remote with focus-based navigation. Large text, simple layouts, linear navigation.

  6. visionOS: spatial interaction. 3D environment using windows, volumes, and spaces. Eye tracking for targeting, indirect gestures for interaction. Respect ergonomic comfort zones.

  7. watchOS: glanceable and brief. Information consumable at a glance. Brief interactions. Digital Crown, haptics, and complications for timely content.

  8. Games: own paradigm. Free to define in-game interaction models, but still respect platform conventions for system interactions (notifications, accessibility, controllers).

Reference Index

Reference Topic Key content
designing-for-ios.md iOS Touch, tab bars, navigation stacks, gestures, screen sizes, safe areas
designing-for-ipados.md iPadOS Multitasking, sidebars, pointer, keyboard, Apple Pencil, Stage Manager
designing-for-macos.md macOS Menu bars, toolbars, window management, keyboard shortcuts, dense layouts, Dock
designing-for-tvos.md tvOS Focus engine, Siri Remote, lean-back experience, content-forward, parallax
designing-for-visionos.md visionOS Spatial computing, windows/volumes/spaces, eye tracking, hand gestures, depth
designing-for-watchos.md watchOS Glanceable UI, Digital Crown, complications, notifications, haptics
designing-for-games.md Games Controllers, immersive experiences, platform-specific conventions, accessibility

Read the full file on GitHub · 85 lines

Files

What ships with it

7 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. 1mo ago First seen · 85 lines · 168 tokens per session scan A a2681ef51856

Subscribe to this mod's changes

hig-platforms is a skill published in the GitHub repository chama-x/GroundRules (5 stars, last pushed 2mo ago), licensed MIT. It adds 168 tokens to every session and 1,180 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to hig-platforms, differing in 0 lines, and is treated as a copy.

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