frontend-aesthetics

frontend-aesthetics is a skill for Claude Code from nguyenthienthanh/aura-frog. It costs 78 tokens per session (1,235 once invoked), scanned A, original, MIT.

A design guide for making web interfaces distinctive, readable, accessible, and consistent instead of visually generic.

In plain words
What is it for?
It helps plan and refine landing pages, components, and other user interfaces using a restrained color system, clear type choices, and implementation-aware design.
Why use it?
It gives coding agents a clear visual direction for typography, colors, spacing, and polish before they write interface code.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions CLAUDE.md.

Part of the aura-frog plugin — 43 skills, 24 commands, 15 agents, 10 hooks, 6 MCP servers shipped together

Good fit It helps plan and refine landing pages, components, and other user interfaces using a restrained color system, clear type choices, and implementation-aware design.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nguyenthienthanh/aura-frog/frontend-aesthetics
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 nguyenthienthanh/aura-frog --skill frontend-aesthetics
Clone the repo
git clone --depth 1 https://github.com/nguyenthienthanh/aura-frog

Made for: Claude Code.

Or install aura-frog, the plugin that ships this one along with the rest of its 43 skills, 24 commands, 15 agents, 10 hooks, 6 MCP servers.

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-aesthetics

README.md
[![agentmods](https://agentmods.dev/badge/skills/nguyenthienthanh/aura-frog/frontend-aesthetics/github.svg)](https://agentmods.dev/skills/nguyenthienthanh/aura-frog/frontend-aesthetics)
Your own site
<a href="https://agentmods.dev/skills/nguyenthienthanh/aura-frog/frontend-aesthetics"><img src="https://agentmods.dev/badge/skills/nguyenthienthanh/aura-frog/frontend-aesthetics/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-aesthetics

Your own site · 80×15
<a href="https://agentmods.dev/skills/nguyenthienthanh/aura-frog/frontend-aesthetics"><img src="https://agentmods.dev/badge/skills/nguyenthienthanh/aura-frog/frontend-aesthetics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,235 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00078 $0.01235
Opus 5 $0.00039 $0.00617
Sonnet 5 $0.00016 $0.00247
Haiku 4.5 $0.00008 $0.00123

Measured 7d ago against content hash efdc81896a3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

frontend-aesthetics 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.

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.

aura-frog/skills/frontend-aesthetics/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI-consumed reference. Produce taste; do not re-implement enforcement. This skill complements rules/agent/design-system-usage.md + rules/agent/theme-consistency.md (which enforce token usage) and rules/agent/accessibility-rules.md (which enforces a11y) — cross-link, don't duplicate.

Frontend Aesthetics

Raise output from consistent & correct to distinctive. Default style (overridable by the host project): flat, clean, accessible, ONE restrained accent — no neon, no glow, no gradient-mesh, no sparkle. "Distinctive" = tasteful type + cohesive tokens + dominant color + sharp accent, NOT flashy maximalism. This default loses to the host project's own design language: if the project's CLAUDE.md, design system, or brand explicitly calls for neon/glow/gradients (gaming, nightlife, crypto, …), follow the project — the constraint is anti-slop, not anti-brand.

Why this matters (Anthropic, Improving frontend design through skills): generic "AI-look" UI is distributional convergence — safe choices dominate training data, so sampling drifts to them. A taste layer + an explicit plan-then-critique step is the documented corrective. This skill is that layer.

Two-pass process (do this BEFORE writing any UI code)

Pass 1 — compact design plan. Write a short plan, not code:

  • Color: 4–6 named hex values with role names (derive from ONE hue — see design-tokens).
  • Type: ≥2 type roles (display / body / mono) + the deliberate scale jumps (e.g. 14→20→40).
  • Layout: a sentence of intent + a rough ASCII wireframe of the key screen.
  • Signature element: the ONE distinctive thing that makes this product not-generic (a specific treatment of nav / hero / card / empty-state — pick one, commit).

Pass 2 — self-critique the plan against the brief. Before building: if any part of the plan reads like the generic default you'd produce for any similar page — rather than a choice made for this brief — revise it, and say what you changed and why. Only then write code.

Read the full file on GitHub · 62 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. 7d ago Changed efdc81896a3e
  2. 12d ago First seen · 62 lines · 78 tokens per session scan A af0b0b522088

Subscribe to this mod's changes

frontend-aesthetics is a skill published in the GitHub repository nguyenthienthanh/aura-frog (24 stars, last pushed 7d ago), licensed MIT. It adds 78 tokens to every session and 1,235 once invoked, about $0.0004 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.