FylloCode: Skill for Claude Code

.agents/skills/frontend-design-taste/SKILL.md

frontend-design-taste is a skill for Claude Code, Codex from Fioooooooo/FylloCode. It costs 60 tokens per session (22,106 once invoked), scanned A, a copy of design-taste-frontend, MIT.

A design guide for landing pages, portfolios, and website redesigns. It helps an agent choose a visual direction from the brief, audience, references, and brand materials.

In plain words
What is it for?
Use it when building or redesigning a landing page, portfolio, agency site, or editorial page. It is not intended for dashboards or multi-step product interfaces.
Why use it?
It reduces generic, template-like interface designs by requiring the design to match the site's purpose and audience. It also calls for checking an existing design before redesigning it.

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 Fioooooooo/FylloCode's own configuration. It tells Claude Code and Codex how to work on FylloCode 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 FylloCode configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Fioooooooo/FylloCode. 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/Fioooooooo/FylloCode/main/.agents/skills/frontend-design-taste/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Fioooooooo/FylloCode

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 frontend-design-taste

README.md
[![agentmods](https://agentmods.dev/badge/skills/fioooooooo/fyllocode/frontend-design-taste/github.svg)](https://agentmods.dev/skills/fioooooooo/fyllocode/frontend-design-taste)
Your own site
<a href="https://agentmods.dev/skills/fioooooooo/fyllocode/frontend-design-taste"><img src="https://agentmods.dev/badge/skills/fioooooooo/fyllocode/frontend-design-taste/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 frontend-design-taste

Your own site · 80×15
<a href="https://agentmods.dev/skills/fioooooooo/fyllocode/frontend-design-taste"><img src="https://agentmods.dev/badge/skills/fioooooooo/fyllocode/frontend-design-taste.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 22,106 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 98% 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 $0.00060 $0.22106
Opus 5.5 $0.00024 $0.08842
Sonnet 5.5 $0.00012 $0.04421
Haiku 4.5 $0.00006 $0.02211

Measured 2mo ago against content hash 42ab9796ddc8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

frontend-design-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 2mo 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

98% identical to design-taste-frontend — 1,505 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/frontend-design-taste/SKILL.md · 1,306 lines

How it starts

The opening of the file, as written. The whole thing — 1,306 lines — stays where its author put it; the contents beside it link to each section on GitHub.

frontend-design-taste: Anti-Slop Frontend Skill

Landing pages, portfolios, and redesigns. Not dashboards, not data tables, not multi-step product UI. Every rule below is contextual. None of it fires automatically. First read the brief, then pull only what fits.


0. BRIEF INFERENCE (Read the Room Before Anything Else)

Before touching code or tweaking dials, infer what the user actually wants. Most LLM design output is bad because the model jumps to a default aesthetic instead of reading the room.

0.A Read these signals first

  1. Page kind - landing (SaaS / consumer / agency / event), portfolio (dev / designer / creative studio), redesign (preserve vs overhaul), editorial / blog.
  2. Vibe words the user used - "minimalist", "calm", "Linear-style", "Awwwards", "brutalist", "premium consumer", "Apple-y", "playful", "serious B2B", "editorial", "agency-y", "glassy", "dark tech".
  3. Reference signals - URLs they linked, screenshots they pasted, products they named, brands they're competing with.
  4. Audience - B2B procurement panel vs. design-conscious consumer vs. recruiter scanning a portfolio. The audience picks the aesthetic, not your taste.
  5. Brand assets that already exist - logo, color, type, photography. For redesigns, these are starting material, not optional input (see Section 11).
  6. Quiet constraints - accessibility-first audiences, public-sector, regulated industries, trust-first commerce, kids' products. These constraints OVERRIDE aesthetic preference.

0.B Output a one-line "Design Read" before generating

Before any code, state in one line: "Reading this as: <page kind> for <audience>, with a <vibe> language, leaning toward <design system or aesthetic family>."

Example reads:

  • "Reading this as: B2B SaaS landing for technical buyers, with a Linear-style minimalist language, leaning toward Tailwind utilities + Geist + restrained motion."
  • "Reading this as: solo designer portfolio for hiring managers, with an editorial / kinetic-type language, leaning toward native CSS + scroll-driven animation + custom typography."
  • "Reading this as: redesign of a public-sector service site, with a trust-first language, leaning toward GOV.UK Frontend or USWDS."

Read the full file on GitHub · 1,306 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. 2mo ago First seen · 1,306 lines · 60 tokens per session scan A 42ab9796ddc8

Subscribe to this mod's changes

frontend-design-taste is a skill published in the GitHub repository Fioooooooo/FylloCode (28 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 22,106 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to design-taste-frontend, differing in 1,505 lines, and is treated as a copy.

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