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 skills add ariadoss/superskills --skill design-taste-frontendgit clone --depth 1 https://github.com/ariadoss/superskillsWrote 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/ariadoss/superskills/design-taste-frontend)<a href="https://agentmods.dev/skills/ariadoss/superskills/design-taste-frontend"><img src="https://agentmods.dev/badge/skills/ariadoss/superskills/design-taste-frontend/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.
<a href="https://agentmods.dev/skills/ariadoss/superskills/design-taste-frontend"><img src="https://agentmods.dev/badge/skills/ariadoss/superskills/design-taste-frontend.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00055 | $0.00891 |
| Opus 5 | $0.00028 | $0.00445 |
| Sonnet 5 | $0.00011 | $0.00178 |
| Haiku 4.5 | $0.00006 | $0.00089 |
Grade A, and why
design-taste-frontend 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Taste Frontend — High-Agency UI/UX Engineering System
A comprehensive frontend architecture guide establishing baseline configurations and engineering directives for premium interface design.
Core Configuration Dials
Three primary dials (adjustable per request):
| Dial | Default | Range | Effect |
|---|---|---|---|
| Design Variance | 8 | 1–10 | How distinctive vs. conventional the design is |
| Motion Intensity | 6 | 1–10 | Amount and complexity of animations |
| Visual Density | 4 | 1–10 | Information density (4 = comfortable) |
Users can override via explicit requests ("make it more minimal", "less animation").
Architectural Requirements
- Framework: React/Next.js with Server Components as default
- Styling: Tailwind CSS for 90% of styling coverage
- Viewport:
min-h-[100dvh]noth-screen(prevents iOS Safari layout issues) - Dependencies: Always verify in
package.jsonbefore importing
Design Engineering Directives
Typography
- Avoid Inter for premium contexts — choose distinctive alternatives
- Never generic system font stacks for display text
- Establish typographic hierarchy before layout
Color
- Maximum one accent color below 80% saturation
- No pure black (
#000000) — use off-black (#0a0a0a,#111111) - No purple/blue AI aesthetic gradients (most identifiable AI design fingerprint)
Layout
- Reject centered Hero sections when Design Variance > 4
- Use asymmetric grids, not three equal columns for feature rows
- Bento grid layouts for dashboard-style content
Motion
- Spring physics:
stiffness: 100, damping: 20(Framer Motion) - Staggered animations with
staggerChildren - Perpetual micro-interactions on dashboard cards (not on every click)
Bias Correction — Anti-AI-Default Patterns
Combat common AI design defaults:
- Liquid Glass refraction effects for depth
- Magnetic micro-physics for interactive elements
- Motion that responds to cursor proximity without React state
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.
- 11d ago First seen · 100 lines · 55 tokens per session scan A 8dd4a4b3947a
design-taste-frontend is a skill published in the GitHub repository ariadoss/superskills (9 stars, last pushed 4d ago), licensed MIT. It adds 55 tokens to every session and 891 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 2026-08-31.
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