Borrowing it
Nothing to install: this file belongs to tutur3u/platform. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tutur3u/platform/main/.agents/skills/gpt-taste/SKILL.mdgit clone --depth 1 https://github.com/tutur3u/platformWrote 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/tutur3u/platform/gpt-taste)<a href="https://agentmods.dev/skills/tutur3u/platform/gpt-taste"><img src="https://agentmods.dev/badge/skills/tutur3u/platform/gpt-taste/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/tutur3u/platform/gpt-taste"><img src="https://agentmods.dev/badge/skills/tutur3u/platform/gpt-taste.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 | $0.00022 | $0.00257 |
| Opus 5 | $0.00011 | $0.00129 |
| Sonnet 5 | $0.00004 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
gpt-taste 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 3d 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
95% identical to gpt-taste — 84 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.
What it actually says
Cinematic Web Design
Use this direction for expressive marketing or editorial work. Fit the layout to its content and audience; AIDA can help conversion pages but is not a dashboard template. Choose typography and composition deliberately. Never fabricate script execution, random choices, measurements, or visual verification.
Prefer a clear hero, a recognizable primary action, and readable typography at phone and small-laptop sizes. Adjust wrapping to actual copy and localization. Use balanced grids when content belongs in a grid; preserve DOM reading order.
GSAP ScrollTrigger can support pinned storytelling, restrained text reveals, or card stacking when the brief benefits from them. Use the project's existing motion stack where possible, clean up timelines and triggers, and provide a usable static experience for reduced motion and without animation initialization. Keep interaction responsive and avoid scroll hijacking.
Use real project assets or clearly identified placeholders. Verify images resolve and match the content. Preserve the project's fonts, icons, and theme tokens unless the redesign includes changing them. Evaluate the resulting page at relevant viewports; iterate on visible problems, not an arbitrary number of animation effects.
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.
- 3d ago Changed · -49 lines · -50 tokens per session 15efc6cdfe00
- 10d ago First seen · 76 lines · 72 tokens per session scan A c1a978939d39
gpt-taste is a skill published in the GitHub repository tutur3u/platform (53 stars, last pushed today), licensed Apache-2.0. It adds 22 tokens to every session and 257 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to gpt-taste, differing in 84 lines, and is treated as a copy.
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