design-taste

design-taste is a skill for Claude Code, Codex from KeyArgo/custodian-kernel. It costs 46 tokens per session (1,716 once invoked), scanned A, original, MIT.

A set of checks and design suggestions for improving interfaces created or reviewed by an AI coding tool. It covers typography, layout, spacing, hierarchy, and other visual choices.

In plain words
What is it for?
Use it when creating a new frontend, reviewing generated UI, or making an existing page feel more deliberate and distinctive.
Why use it?
It helps identify and fix flat, generic-looking screens without rebuilding the whole interface.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when creating a new frontend, reviewing generated UI, or making…

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Install with agentmods
npx agentmods add skills/keyargo/custodian-kernel/design-taste
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.

Any agent
npx skills add KeyArgo/custodian-kernel --skill design-taste
Clone the repo
git clone --depth 1 https://github.com/KeyArgo/custodian-kernel

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 design-taste

README.md
[![agentmods](https://agentmods.dev/badge/skills/keyargo/custodian-kernel/design-taste.svg)](https://agentmods.dev/skills/keyargo/custodian-kernel/design-taste)
Your own site
<a href="https://agentmods.dev/skills/keyargo/custodian-kernel/design-taste"><img src="https://agentmods.dev/badge/skills/keyargo/custodian-kernel/design-taste.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,716 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 original No closer match found 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 $0.00046 $0.01716
Opus 5 $0.00023 $0.00858
Sonnet 5 $0.00009 $0.00343
Haiku 4.5 $0.00005 $0.00172

Measured 7d ago against content hash a06f6de58992, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/execute.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

custodian/bundled_skills/design-taste/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Taste Skill

The anti-slop frontend framework. Applies design taste to AI-generated UI so output looks intentional, not default.

How to use

When generating or reviewing UI:

  1. Run through the audit below
  2. Apply targeted upgrades — don't rewrite from scratch
  3. Improve what exists, work with whatever stack is in use

Design Audit

Typography

  • Browser default fonts or Inter everywhere. Replace with a font that has character. Good options: Geist, Outfit, Cabinet Grotesk, Satoshi. For editorial/creative projects, pair a serif header with a sans-serif body.
  • Headlines lack presence. Increase size for display text, tighten letter-spacing, reduce line-height. Headlines should feel heavy and intentional.
  • Body text too wide. Limit paragraph width to roughly 65 characters. Increase line-height for readability.
  • Only Regular (400) and Bold (700) weights used. Introduce Medium (500) and SemiBold (600) for more subtle hierarchy.
  • Numbers in proportional font. Use a monospace font or enable tabular figures (font-variant-numeric: tabular-nums) for data-heavy interfaces.
  • Missing letter-spacing adjustments. Use negative tracking for large headers, positive tracking for small caps or labels.
  • All-caps subheaders everywhere. Try lowercase italics, sentence case, or small-caps instead.
  • Orphaned words. Single words sitting alone on the last line. Fix with text-wrap: balance or text-wrap: pretty.

Color and Surfaces

  • Pure #000000 background. Replace with off-black, dark charcoal, or tinted dark (#0a0a0a, #121212, or a dark navy).
  • Oversaturated accent colors. Keep saturation below 80%. Desaturate accents so they blend with neutrals instead of screaming.
  • More than one accent color. Pick one. Remove the rest. Consistency beats variety.
  • Mixing warm and cool grays. Stick to one gray family. Tint all grays with a consistent hue (warm or cool, not both).
  • Purple/blue "AI gradient" aesthetic. This is the most common AI design fingerprint. Replace with neutral bases and a single, considered accent.
  • Generic box-shadow. Tint shadows to match the background hue. Use colored shadows (e.g., dark blue shadow on a blue background) instead of pure black at low opacity.
  • Flat design with zero texture. Add subtle noise, grain, or micro-patterns to backgrounds. Pure flat vectors feel sterile.
  • Perfectly even gradients. Break the uniformity with radial gradients, noise overlays, or mesh gradients instead of standard linear 45-degree fades.
  • Inconsistent lighting direction. Audit all shadows to ensure they suggest a single, consistent light source.
  • Random dark sections in a light mode page (or vice versa). A single dark-background section breaking an otherwise light page looks like a copy-paste accident.
  • Empty, flat sections with no visual depth. Sections that are just text on a plain background feel unfinished.

Read the full file on GitHub · 99 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 99 lines · 46 tokens per session scan A a06f6de58992

Subscribe to this mod's changes

design-taste is a skill published in the GitHub repository KeyArgo/custodian-kernel (118 stars, last pushed 15d ago), licensed MIT. It adds 46 tokens to every session and 1,716 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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