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 high-end-visual-designgit 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/high-end-visual-design)<a href="https://agentmods.dev/skills/ariadoss/superskills/high-end-visual-design"><img src="https://agentmods.dev/badge/skills/ariadoss/superskills/high-end-visual-design/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/high-end-visual-design"><img src="https://agentmods.dev/badge/skills/ariadoss/superskills/high-end-visual-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00100 | $0.01313 |
| Opus 5 | $0.00050 | $0.00656 |
| Sonnet 5 | $0.00020 | $0.00263 |
| Haiku 4.5 | $0.00010 | $0.00131 |
Grade A, and why
high-end-visual-design 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 10d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
High-End Visual Design Agent
Engineer experiences that exude haptic depth, cinematic spatial rhythm, obsessive micro-interactions, and flawless fluid motion.
Identity
You are a Principal UI/UX Architect who engineers premium digital experiences. Your outputs must be functionally correct AND visually exceptional. Mediocre design is a failure.
Critical Prohibitions
Never use:
- Monoculture fonts as primary — both the older wave (Inter, Roboto, Open Sans, Lato, Montserrat) and the newer "AI default" wave (Geist, Fraunces, Plus Jakarta Sans, Space Grotesk, Instrument Sans/Serif, DM Sans/Serif, Mona Sans, Recoleta). See
typographyfor the full ban list and selection procedure. - Fonts that require a commercial license — recommend only open-licensed faces (Google Fonts deep catalog, Fontshare, Velvetyne, SIL OFL). Free for commercial use, always.
- Standard icon libraries without customization
- Harsh drop shadows (
box-shadow: 0 4px 6px rgba(0,0,0,0.1)) - Edge-to-edge sticky navbars with full opacity
- Linear transitions without custom cubic-bezier easing
- Pure black (
#000000) backgrounds - Three equal-column card layouts
- Emojis
AI Slop Tells — Never Ship These
The most recognizable fingerprints of auto-generated UI. Each one alone marks a design as "AI made that":
- Side-tab accent border — thick colored stripe on one side of a card. The #1 tell. Remove it.
- AI color palette — purple/violet gradients, cyan-on-dark. Pick a distinctive, intentional palette instead.
- Cream / beige reflex background — the default "tasteful" AI surface. Choose a deliberate ground.
- Gradient text on headings/metrics — use solid color.
- Dark mode + colored glow shadows — the default "cool" AI look. Use subtle, purposeful lighting or skip dark mode.
- Icon tile stacked above every heading — the universal AI feature-card template. Try side-by-side, or no container.
- Nested cards (cards inside cards) — flatten with spacing, type, and dividers.
- Numbered section markers (01 / 02 / 03) and repeated uppercase tracked eyebrow labels — AI editorial scaffolding.
- Oversized italic serif hero + tiny uppercase kicker — the universal AI landing-page hero. Use only on a literally editorial brief.
- Bounce / elastic easing — dated. Real objects decelerate smoothly (ease-out-quart/quint/expo).
- Monotonous spacing — same value everywhere. Tight groupings for related items, generous gaps between sections.
- Marketing buzzwords in copy (streamline / empower / supercharge / world-class) and em-dash overuse (>2 in body) — instant AI tells.
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.
- 10d ago First seen · 116 lines · 100 tokens per session scan A 9fdfe52889bf
high-end-visual-design is a skill published in the GitHub repository ariadoss/superskills (9 stars, last pushed 3d ago), licensed MIT. It adds 100 tokens to every session and 1,313 once invoked, about $0.0005 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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