gpt-taste

gpt-taste is a skill for Claude Code, Codex from rofid-c/codebase-analyzer-mcp. It costs 72 tokens per session (1,866 once invoked), scanned A, a copy of gpt-taste, MIT.

A set of design instructions for building websites with varied layouts, large editorial typography, bento-style grids, and GSAP scrolling animations. AIDA is a writing structure based on attention, interest, desire, and action.

In plain words
What is it for?
Designing data-heavy or editorial websites with scroll effects, pinned sections, large type, micro-images, and structured marketing content.
Why use it?
It gives an agent specific visual and animation rules to follow when creating a page.

Skill for Claude CodeCodex

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

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/rofid-c/codebase-analyzer-mcp/gpt-taste
Any agent
npx skills add rofid-c/codebase-analyzer-mcp --skill gpt-taste
Clone the repo
git clone --depth 1 https://github.com/rofid-c/codebase-analyzer-mcp

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 gpt-taste

README.md
[![agentmods](https://agentmods.dev/badge/skills/rofid-c/codebase-analyzer-mcp/gpt-taste.svg)](https://agentmods.dev/skills/rofid-c/codebase-analyzer-mcp/gpt-taste)
Your own site
<a href="https://agentmods.dev/skills/rofid-c/codebase-analyzer-mcp/gpt-taste"><img src="https://agentmods.dev/badge/skills/rofid-c/codebase-analyzer-mcp/gpt-taste.svg" alt="Measured on agentmods" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,866 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 5.1 $0.00072 $0.01866
Opus 5 $0.00036 $0.00933
Sonnet 5 $0.00014 $0.00373
Haiku 4.5 $0.00007 $0.00187

Measured 5d ago against content hash 2e64c269953f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

gpt-taste 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 5d 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 gpt-taste — 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/skills/gpt-taste/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CORE DIRECTIVE: AWWWARDS-LEVEL DESIGN ENGINEERING

You are an elite, award-winning frontend design engineer. Standard LLMs possess severe statistical biases: they generate massive 6-line wrapped headings by using narrow containers, leave ugly empty gaps in bento grids, use cheap meta-labels ("QUESTION 05", "SECTION 01"), output invisible button text, and endlessly repeat the same Left/Right layouts.

Your goal is to aggressively break these defaults. Your outputs must be highly creative, perfectly spaced, motion-rich (GSAP), mathematically flawless in grid execution, and heavily rely on varied, high-end assets.

DO NOT USE EMOJIS IN YOUR CODE, COMMENTS, OR OUTPUT. Maintain strictly professional formatting.

1. PYTHON-DRIVEN TRUE RANDOMIZATION (BREAKING THE LOOP)

LLMs are inherently lazy and always pick the first layout option. To prevent this, you MUST simulate a Python script execution in your <design_plan> before writing any UI code. Use a deterministic seed (e.g., character count of the user prompt modulo math) to simulate random.choice() and strictly select:

  • 1 Hero Architecture (from Section 3)
  • 1 Typography Stack (Satoshi, Cabinet Grotesk, Outfit, or Geist. NEVER Inter)
  • 3 Unique Component Architectures (from Section 6)
  • 2 Advanced GSAP Paradigms (from Section 5) You are forbidden from defaulting to the same UI twice. You must follow the exact output of your simulated Python randomization.

2. AIDA STRUCTURE & SPACING

Every page MUST begin with a highly creative, premium Navigation Bar (e.g., floating glass pill, or minimal split nav). The rest of the page MUST follow the AIDA framework:

  • Attention (Hero): Cinematic, clean, wide layout.
  • Interest (Features/Bento): High-density, mathematically perfect grid or interactive typographic components.
  • Desire (GSAP Scroll/Media): Pinned sections, horizontal scroll, or text-reveals.
  • Action (Footer/Pricing): Massive, high-contrast CTA and clean footer links. SPACING RULE: Add huge vertical padding between all major sections (e.g., py-32 md:py-48). Sections must feel like distinct, cinematic chapters. Do not cramp elements together.

Read the full file on GitHub · 75 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. 5d ago First seen · 75 lines · 72 tokens per session scan A 2e64c269953f

Subscribe to this mod's changes

gpt-taste is a skill published in the GitHub repository rofid-c/codebase-analyzer-mcp (0 stars, last pushed 4d ago), licensed MIT. It adds 72 tokens to every session and 1,866 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gpt-taste, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

Shade ShadCN install

Guardrails for running pnpm dlx shadcn@latest add in Shade — never overwrite existing components, fresh branch first, swap raw colours for semantic tokens after integrating. Trigger when the user proposes a shadcn add, or when a fresh ShadCN-shaped file lands in apps/shade/src/components/ui.

TryGhost/Ghost · 72 tokens

chakra-ui-builder

Build responsive, accessible UI components and layouts using Chakra UI v3, install or configure Chakra UI in new and existing projects, and design scalable themes using tokens, semantic tokens, recipes, and slot recipes. Use this skill whenever a user asks to build, create, or generate any UI component, page, form…

chakra-ui/chakra-ui · 214 tokens

frontend-visual-qa

Audits already-rendered web, landing-page, HTML deck/slide, browser tool/game, dashboard/admin, design-system, and desktop UIs using real-browser or native-app journeys, inspected screenshots, DOM geometry, responsive or projection viewports, and a bundled Playwright sweep. Use after UI implementation to find…

daymade/claude-code-skills · 145 tokens

prototype-web

可点击的功能性 Web 原型, 含导航、英雄区、特性区、CTA.

nexu-io/html-anything · 24 tokens

waitlist-page

【模板: 等候名单页 / Waitlist】 【意图】为新产品 / 早鸟内测做一张极简等候页。 【布局】.

nexu-io/html-anything · 25 tokens

design-frontend-dev

Clean Impeccable frontend design skill. Use when the user wants to design, redesign, critique, audit, polish, harden, optimize, adapt, clarify, colorize, animate, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, onboarding, empty states…

The-Vibe-Company/companion · 127 tokens