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 aaronnat23/disp8ch --skill taste-skillgit clone --depth 1 https://github.com/aaronnat23/disp8chWrote 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/aaronnat23/disp8ch/taste-skill)<a href="https://agentmods.dev/skills/aaronnat23/disp8ch/taste-skill"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/taste-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.
<a href="https://agentmods.dev/skills/aaronnat23/disp8ch/taste-skill"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/taste-skill.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 | $0.00000 | $0.00543 |
| Opus 5.5 | $0.00000 | $0.00217 |
| Sonnet 5.5 | $0.00000 | $0.00109 |
| Haiku 4.5 | $0.00000 | $0.00054 |
Grade A, and why
taste-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 1mo 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Taste Skill — Premium Frontend Design System
Use this skill when the task involves building or improving any web UI, frontend component, dashboard, or landing page. Enforces high-end design standards and eliminates generic AI-generated interface patterns.
Use when
- Building React/Next.js components, pages, or full interfaces.
- The output requires a visually distinctive, non-generic UI.
- Preventing "AI tells" — neon glows, Inter font, symmetrical card grids, broken image placeholders.
- Creating dashboards, landing pages, SaaS UIs, or portfolio sites.
Core Parameters
- DESIGN_VARIANCE: 8 — Asymmetric layouts over perfect symmetry; masonry-oriented grids.
- MOTION_INTENSITY: 6 — Fluid CSS transitions and spring physics (stiffness: 100, damping: 20).
- VISUAL_DENSITY: 4 — Balanced breathing room; not overcrowded, not sparse.
Mandatory Rules
Typography:
- Use Geist, Outfit, or Cabinet Grotesk. Never use Inter.
- No serif fonts on dashboards.
- Limit to 1 accent color; ban "AI purple" and neon palettes.
- No pure black (#000000); use Off-Black or Zinc-950.
Layout:
- Force asymmetric layouts when VARIANCE > 4.
- Eliminate generic 3-column card grids on dense dashboards.
- Use
min-h-[100dvh]instead ofh-screenfor mobile stability. - No centered hero layouts for high-variance projects.
Interactions:
- Implement full state cycles: loading, empty, error, success.
- Animate only via
transformandopacity— nevertop,left,width,height. - Isolate perpetual animations in dedicated Client Components.
- Bento 2.0: perpetual micro-interactions with Framer Motion spring physics (Pulse, Typewriter, Carousel loops).
Forbidden AI Tells:
- No neon glows, oversaturated colors, or gradient abuse.
- No generic names ("John Doe"), broken image links, or filler copy ("Seamless," "Unleash," "Next-Gen").
- No clichéd icon choices or stock visual metaphors.
Tech Stack Defaults
- React / Next.js with TypeScript.
- Tailwind CSS (check package.json before importing libraries).
- Phosphor or Radix icons only.
- Framer Motion for spring animations.
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.
- 1mo ago First seen · 51 lines · 0 tokens per session scan A 86e45dff671d
taste-skill is a skill published in the GitHub repository aaronnat23/disp8ch (98 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 543 tokens. 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.
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