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.
npx agentmods add skills/arnosdeus/agent-toolkit/redesign-existing-projectsnpx skills add Arnosdeus/agent-toolkit --skill redesign-existing-projectsgit clone --depth 1 https://github.com/Arnosdeus/agent-toolkitWrote 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.
[](https://agentmods.dev/skills/arnosdeus/agent-toolkit/redesign-existing-projects)<a href="https://agentmods.dev/skills/arnosdeus/agent-toolkit/redesign-existing-projects"><img src="https://agentmods.dev/badge/skills/arnosdeus/agent-toolkit/redesign-existing-projects.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00045 | $0.03332 |
| Opus 5 | $0.00023 | $0.01666 |
| Sonnet 5 | $0.00009 | $0.00666 |
| Haiku 4.5 | $0.00005 | $0.00333 |
Grade A, and why
redesign-existing-projects 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 4d 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.
This is a copy
100% identical to redesign-existing-projects — 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.
How it starts
The opening of the file, as written. The whole thing — 179 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:
- Scan — Read the codebase. Identify the framework, styling method (Tailwind, vanilla CSS, styled-components, etc.), and current design patterns.
- Diagnose — Run through the audit below. List every generic pattern, weak point, and missing state you find.
- 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: balanceortext-wrap: pretty.
Color and Surfaces
- Pure
#000000background. 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. Either commit to a full dark mode or keep a consistent background tone throughout. If contrast is needed, use a slightly darker shade of the same palette — not a sudden jump to
#111in the middle of a cream page. - Empty, flat sections with no visual depth. Sections that are just text on a plain background feel unfinished. Add high-quality background imagery (blurred, overlaid, or masked), subtle patterns, or ambient gradients. Use reliable placeholder sources like
https://picsum.photos/seed/{name}/1920/1080when real assets are not available. Experiment with background images behind hero sections, feature blocks, or CTAs — even a subtle full-width photo at low opacity adds presence.
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.
- 4d ago First seen · 179 lines · 45 tokens per session scan A 98ad3e5b051b
redesign-existing-projects is a skill published in the GitHub repository Arnosdeus/agent-toolkit (2 stars, last pushed 11d ago), licensed MIT. It adds 45 tokens to every session and 3,332 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to redesign-existing-projects, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
frontend-design
Designs, builds, or refactors user-facing web or application interfaces with deliberate visual direction, typography, color and spacing tokens, content hierarchy, responsive behavior, accessible interaction states, and real rendered-surface verification. Use for pages, components, dashboards, landing pages, design…
design
Use for UI, UX, visual hierarchy, frontend-design judgment, references, redesigns, and design critique when the user's Emulo taste should guide the task. Do not use for unrelated execution or marketing/social writing alone.
frontend-ui-audit
Frontend UI consistency audit for React + Tailwind codebases. Use when reviewing component refactors, UI cleanup batches, or answering "should this use the design system?" — checks design-system adoption, arbitrary Tailwind values vs tokens, hardcoded sizes and colors, accessibility basics, and repeated visual…
design-system
Dotbot CRT/retro-futuristic design system: tokens, components, patterns, and anti-patterns for the control panel UI.
using-design-system
Ensures consistent use of X-components design system instead of Material3 when working on feature UI code. Automatically activates for Composable functions in feature modules or when user mentions UI/screens/components.
factory-design
Design-system discipline distilled across builds. Semantic token vocabulary (name intent, not palette position), CSS variables bridged into Tailwind, dark/light as a variable swap, single- vs two-layer token systems, component primitives as token consumers, when to promote a repeated utility cluster into a primitive…