redesign-skill

redesign-skill is a skill for Claude Code, Codex from hoangatg/ai-agent-toolkit. It costs 52 tokens per session (2,507 once invoked), scanned A, original, MIT.

A guide to reviewing and improving an existing interface by examining its typography, colors, layout, content, components, and interactive states.

In plain words
What is it for?
Use it to audit an existing website or app, identify missing states and visual problems, and apply focused design and component changes.
Why use it?
It helps find generic or weak design choices and improve the current project without replacing the whole codebase.

Skill for Claude CodeCodex

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

Good fit Use it to audit an existing website or app, identify missing states and visual problems, and apply focused design and component changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hoangatg/ai-agent-toolkit/redesign-skill
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 hoangatg/ai-agent-toolkit --skill redesign-skill
Clone the repo
git clone --depth 1 https://github.com/hoangatg/ai-agent-toolkit

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 redesign-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/redesign-skill/github.svg)](https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/redesign-skill)
Your own site
<a href="https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/redesign-skill"><img src="https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/redesign-skill/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 redesign-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/redesign-skill"><img src="https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/redesign-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,507 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 $0.00052 $0.02507
Opus 5 $0.00026 $0.01254
Sonnet 5 $0.00010 $0.00501
Haiku 4.5 $0.00005 $0.00251

Measured 8d ago against content hash f6a7772bad25, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

redesign-skill 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 8d 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.

.agent/skills/redesign-skill/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Redesign Skill

How This Works

When applied to an existing project, follow this sequence:

  1. Scan — Read the codebase. Identify the framework, styling method (Tailwind, vanilla CSS, styled-components, etc.), and current design patterns.
  2. Diagnose — Run through the audit below. List every generic pattern, weak point, and missing state you find.
  3. Fix — Apply targeted upgrades working with the existing stack. Do not rewrite from scratch. Improve what's there.

Design Audit

Typography

Check for these problems and fix them:

  • 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 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. Either commit to a full dark mode or keep a consistent background tone throughout.
  • Empty, flat sections with no visual depth. Add high-quality background imagery (blurred, overlaid, or masked), subtle patterns, or ambient gradients.

Read the full file on GitHub · 158 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. 8d ago First seen · 158 lines · 52 tokens per session scan A f6a7772bad25

Subscribe to this mod's changes

redesign-skill is a skill published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 2,507 once invoked, about $0.0003 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 2026-09-03.