design-taste-frontend-v1

A frontend design and coding guide for creating web interfaces with a deliberately expressive visual style, moderate motion, and relatively open layouts. It also sets rules for checking installed libraries and organizing React projects.

In plain words
What is it for?
Use it when building or redesigning a React interface, choosing layout and animation behavior, checking packages before imports, and applying the guide’s visual and code conventions.
Why use it?
It gives an agent consistent design defaults and prevents it from assuming that front-end dependencies are already available.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/modelstudioai/openagentpack/design-taste-frontend-v1
Any agent
npx skills add modelstudioai/OpenAgentPack --skill design-taste-frontend-v1
Clone the repo
git clone --depth 1 https://github.com/modelstudioai/OpenAgentPack

Made for: Claude Code, Codex.

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,121 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00061 $0.05121
Opus 5 $0.00030 $0.02560
Sonnet 5 $0.00012 $0.01024
Haiku 4.5 $0.00006 $0.00512

Measured 2d ago against content hash 033d45af1ed2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

design-taste-frontend-v1 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 2d 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 design-taste-frontend-v1 — 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.

apps/webui/.agents/skills/design-taste-frontend-v1/SKILL.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

High-Agency Frontend Skill

1. ACTIVE BASELINE CONFIGURATION

  • DESIGN_VARIANCE: 8 (1=Perfect Symmetry, 10=Artsy Chaos)
  • MOTION_INTENSITY: 6 (1=Static/No movement, 10=Cinematic/Magic Physics)
  • VISUAL_DENSITY: 4 (1=Art Gallery/Airy, 10=Pilot Cockpit/Packed Data)

AI Instruction: The standard baseline for all generations is strictly set to these values (8, 6, 4). Do not ask the user to edit this file. Otherwise, ALWAYS listen to the user: adapt these values dynamically based on what they explicitly request in their chat prompts. Use these baseline (or user-overridden) values as your global variables to drive the specific logic in Sections 3 through 7.

2. DEFAULT ARCHITECTURE & CONVENTIONS

Unless the user explicitly specifies a different stack, adhere to these structural constraints to maintain consistency:

  • DEPENDENCY VERIFICATION [MANDATORY]: Before importing ANY 3rd party library (e.g. framer-motion, lucide-react, zustand), you MUST check package.json. If the package is missing, you MUST output the installation command (e.g. npm install package-name) before providing the code. Never assume a library exists.
  • Framework & Interactivity: React or Next.js. Default to Server Components (RSC).
    • RSC SAFETY: Global state works ONLY in Client Components. In Next.js, wrap providers in a "use client" component.
    • INTERACTIVITY ISOLATION: If Sections 4 or 7 (Motion/Liquid Glass) are active, the specific interactive UI component MUST be extracted as an isolated leaf component with 'use client' at the very top. Server Components must exclusively render static layouts.
  • State Management: Use local useState/useReducer for isolated UI. Use global state strictly for deep prop-drilling avoidance.
  • Styling Policy: Use Tailwind CSS (v3/v4) for 90% of styling.
    • TAILWIND VERSION LOCK: Check package.json first. Do not use v4 syntax in v3 projects.
    • T4 CONFIG GUARD: For v4, do NOT use tailwindcss plugin in postcss.config.js. Use @tailwindcss/postcss or the Vite plugin.
  • ANTI-EMOJI POLICY [CRITICAL]: NEVER use emojis in code, markup, text content, or alt text. Replace symbols with high-quality icons (Radix, Phosphor) or clean SVG primitives. Emojis are BANNED.
  • Responsiveness & Spacing:
    • Standardize breakpoints (sm, md, lg, xl).
    • Contain page layouts using max-w-[1400px] mx-auto or max-w-7xl.
    • Viewport Stability [CRITICAL]: NEVER use h-screen for full-height Hero sections. ALWAYS use min-h-[100dvh] to prevent catastrophic layout jumping on mobile browsers (iOS Safari).
    • Grid over Flex-Math: NEVER use complex flexbox percentage math (w-[calc(33%-1rem)]). ALWAYS use CSS Grid (grid grid-cols-1 md:grid-cols-3 gap-6) for reliable structures.
  • Icons: You MUST use exactly @phosphor-icons/react or @radix-ui/react-icons as the import paths (check installed version). Standardize strokeWidth globally (e.g., exclusively use 1.5 or 2.0).

Read the full file on GitHub · 227 lines

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. 2d ago First seen · 227 lines · 61 tokens per session scan A 033d45af1ed2

Subscribe to this mod's changes

design-taste-frontend-v1 is a skill published in the GitHub repository modelstudioai/OpenAgentPack (23 stars, last pushed 5d ago), licensed Apache-2.0. It adds 61 tokens to every session and 5,121 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to design-taste-frontend-v1, differing in 0 lines, and is treated as a copy.

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