melta-ui — security grade SAFE, quality 73/100

Security audit verdict: SAFE · quality 73/100

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 tsubotax · Claude Skill · ★ 201

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

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About melta-ui

melta UI 人間にも、AIにも、読めるデザインシステム。 デザインシステムは、人間のためだけのものだった。 スタイルガイドを読み、コンポーネントの意図を汲み取り、文脈に合わせて判断する——それはデザイナーとエンジニアの仕事だった。 しかし今、UIを書くのは人間だけではない。 AIがコードを生成し、コンポーネントを選び、レイアウトを組む時代に、 デザインシステムは 「人間が読める」だけでは足りない。 melta UI は、この問いに対する一つの答えである。 人間の可読性を犠牲にせず、AIの可読性を加える。 両立こそが、melta UI の設計思想である。 Architecture — AI-Ready 2.0 3 層構造で「AI が迷わない、間違えにくい、間違えても検知される」を実現する。 トークン検索・コンポーネント取得・ルール検証をツールとして

ai-readyclaude-codecursordesign-systemjapanesetailwindcssui-components

Quick Facts

Stars201
Forks21
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score73.3162526906135/100
Open Issues1
Last Updated2026-09-27
Created2026-03-01
Platformsclaude-code, node
Est. Tokens~16k

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Frequently Asked Questions

What is melta-ui?

melta-ui is 人間にも、AIにも、読めるデザインシステム — AI-Ready Design System for Claude Code & Cursor. It is categorized as a Claude Skill with 201 GitHub stars.

What programming language is melta-ui written in?

melta-ui is primarily written in TypeScript. It covers topics such as ai-ready, claude-code, cursor.

How do I install or use melta-ui?

You can find installation instructions and usage details in the melta-ui GitHub repository at github.com/tsubotax/melta-ui. The project has 201 stars and 21 forks, indicating an active community.

What license does melta-ui use?

melta-ui is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to melta-ui?

The top alternatives to melta-ui on Agent Skills Hub include better-design, aicanvas, ai-design-components. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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