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 gpt-tasteskillgit 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/gpt-tasteskill)<a href="https://agentmods.dev/skills/aaronnat23/disp8ch/gpt-tasteskill"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/gpt-tasteskill/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/gpt-tasteskill"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/gpt-tasteskill.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 | $0.00739 |
| Opus 5 | $0.00000 | $0.00369 |
| Sonnet 5 | $0.00000 | $0.00148 |
| Haiku 4.5 | $0.00000 | $0.00074 |
Grade A, and why
gpt-tasteskill 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GPT Taste Skill — Award-Winning Motion-First UI Engineering
Use this skill for premium frontend interfaces that require GSAP scroll animations, mathematically verified bento grids, and award-quality design. The most demanding taste variant.
Use when
- The output needs to qualify for Awwwards, CSS Design Awards, or similar recognition.
- GSAP ScrollTrigger animations are required or expected.
- Building complex bento grids with mathematically verified column/row interlocking.
- Typography and layout must break standard LLM bias patterns at a measurable level.
Pre-Flight Verification (run before coding)
- Simulate component arsenal selection from: hero types, bento variants, scroll paradigms.
- Choose typography stack from: Satoshi, Cabinet Grotesk, Outfit, or Geist — never Inter.
- Choose GSAP paradigm: pin-scrub, text-reveal, card-stack, image-scale, or parallax.
- Verify grid interlocking with
grid-flow-dense— no empty cells allowed.
Typography & Layout Mandates
- Headers: 2–3 line maximum using ultra-wide containers (
max-w-6xlor wider). - 6+ wrapped heading lines = failure state — widen container before reducing font size.
- No meta-labels like "SECTION 01" or "QUESTION 05" — cheap and unprofessional.
- No emojis in code or UI copy.
Grid Construction Rules
- All bento grids must use
grid-flow-dense. - Column/row span combinations must be mathematically verified to interlock without gaps.
- Allowed patterns: 2×1, 1×2, 2×2 spans mixed with 1×1 to fill efficiently.
- Test every grid permutation for empty cell scenarios before finalizing.
GSAP ScrollTrigger Requirements
- Pinning: Hero sections pin during scroll while content reveals.
- Scrub text reveals: Characters or words reveal as viewport scrolls.
- Image scaling:
scale()transitions triggered by scroll position. - Card stacking: Cards layer on top of each other as user scrolls down.
- Scrub value: 0.5–2 for smooth progression.
AIDA Page Structure (mandatory for full pages)
- Navigation — Sticky, minimal, expands on scroll.
- Attention / Hero — Pinned with GSAP, large asymmetric typography.
- Interest / Bento — Dense
grid-flow-densegrid with micro-interactions. - Desire / GSAP Scroll — Parallax, card stacks, scroll-triggered reveals.
- Action / Footer — Huge vertical padding, editorial typography, CTA.
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 · 64 lines · 0 tokens per session scan A cc2028d2cd10
gpt-tasteskill is a skill published in the GitHub repository aaronnat23/disp8ch (100 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 739 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 2026-08-30.
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