hig-doctor — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by raintree-technology · MCP Server · ★ 101

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About hig-doctor

Apple HIG Skills Agent-native Apple Human Interface Guidelines: a structured index of Apple's HIG delivered as Claude Skills, with an MCP server and a universal compliance auditor as the verification loop. Built for AI coding agents; usable by humans. Skills corpus — 14 skills and 156 reference topics covering the complete HIG (foundations, components, patterns, inputs, platforms, technologies). Snapshot dated 2025-02-02; canonical content remains at developer.apple.com/design/human-interface-guidelines. MCP server — stdio Model Context Protocol server exposing , , and for Claude Desktop, Cursor, Windsurf, and Claude Code. Audit CLI — universal HIG compliance scanner across 12 frameworks (SwiftUI, UIKit, React, Vue, Svelte, Angular, Compose, Android XML, React Native, Flutter, CSS, HTML). Emits severity-bucketed markdown/JSON with a pass/fail CI gate. Content is © Apple Inc.; this repository provides organization, cross-referencing, and detection rules for AI agent use. MIT-licensed for structure and tooling. Star History <source media="(prefers-color-scheme: dark)" srcset="https://api.star-histor

accessibilityagent-skillsai-agentsapple-designapple-higauditclaude-codeclicursordeveloper-tools

Quick Facts

Stars101
Forks6
LanguageTypeScript
CategoryMCP Server
Quality Score70.7834921462813/100
Open Issues1
Last Updated2026-08-04
Created2026-02-09
Platformsclaude-code, cli, mcp, node
Est. Tokens~17k

Compatible Skills

These tools work well together with hig-doctor for enhanced workflows:

  • swift-ios-skills — semantic(0.45)+complementary+rare_topics+similar_pop+shared_platform (69%)
  • swiftui-skills — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)

hig-doctor alternative? Top 6 similar tools

Looking for a hig-doctor alternative? If you're comparing hig-doctor with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • daymon by daymonio · ⭐ 368

    Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Fr

  • orchestkit by yonatangross · ⭐ 222

    The Complete AI Development Toolkit for Claude Code — 105 skills, 36 agents, 217 hooks. Production-ready patte

  • awesome-ios-ai by Techopolis · ⭐ 97

    AI agent skills, agent teams, MCP servers, and tools that make AI coding assistants better at Swift and iOS de

  • fossil-mcp by yfedoseev · ⭐ 65

    The code quality toolkit for the agentic AI era. Find dead code, clones, and scaffolding across 15 languages.

  • ux-ui-agent-skills by plugin87 · ⭐ 493

    Turn Claude into a Senior Design Architect — DTCG design tokens, 42 components, WCAG 2.2 accessibility, any-fr

  • ai-skills by sanjay3290 · ⭐ 396

    24 cross-platform agent skills for Claude Code, Cursor, Codex & Gemini CLI — databases, messaging, research, T

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Frequently Asked Questions

What is hig-doctor?

hig-doctor is Apple HIG reference and cross-framework UI audit tooling for agents.. It is categorized as a MCP Server with 101 GitHub stars.

What programming language is hig-doctor written in?

hig-doctor is primarily written in TypeScript. It covers topics such as accessibility, agent-skills, ai-agents.

How do I install or use hig-doctor?

You can find installation instructions and usage details in the hig-doctor GitHub repository at github.com/raintree-technology/hig-doctor. The project has 101 stars and 6 forks, indicating an active community.

What are the best alternatives to hig-doctor?

The top alternatives to hig-doctor on Agent Skills Hub include daymon, orchestkit, awesome-ios-ai. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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