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 taotao135791-bit/gsap-transform --skill motion-design-tastegit clone --depth 1 https://github.com/taotao135791-bit/gsap-transformWrote 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/taotao135791-bit/gsap-transform/motion-design-taste)<a href="https://agentmods.dev/skills/taotao135791-bit/gsap-transform/motion-design-taste"><img src="https://agentmods.dev/badge/skills/taotao135791-bit/gsap-transform/motion-design-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/taotao135791-bit/gsap-transform/motion-design-taste"><img src="https://agentmods.dev/badge/skills/taotao135791-bit/gsap-transform/motion-design-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 | $0.00170 | $0.05663 |
| Opus 5 | $0.00085 | $0.02831 |
| Sonnet 5 | $0.00034 | $0.01133 |
| Haiku 4.5 | $0.00017 | $0.00566 |
Grade A, and why
motion-design-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 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 — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Motion Design Taste
The aesthetic and motion-language layer that sits above the GSAP API skills. Every GSAP page generated by an agent should pass through this skill first, then descend into the correct API skill.
When to Use This Skill
Apply at the start of any task that produces an animated frontend interface — before writing GSAP code. Use when the user describes a brief, a vibe, references, or simply asks for "an animated landing page" without specifying. Output a one-line Design Read before any code, choose dial values, then route to the API skills.
Related skills (this layer): motion-recipes for ready-made aesthetic × motion combinations, motion-anti-slop for the deterministic checks, motion-craft for the command-style workflow (init, shape, animate, polish, audit).
Related skills (API layer): gsap-core for tweens and easing, gsap-timeline for sequencing, gsap-scrolltrigger for scroll-driven motion, gsap-plugins for SplitText/Flip/Draggable/MorphSVG, gsap-react and gsap-frameworks for framework integration, gsap-performance for 60fps work.
Section 1 — Read the Brief Before Anything Else
Most AI-generated motion is bad because the model jumps straight to a default aesthetic and a default ease. Read the brief first.
1.A Signals to Read
- Page kind — landing (SaaS / consumer / agency / event), portfolio (designer / developer / studio), redesign (preserve vs. overhaul), editorial / blog, product / app surface.
- Vibe words the user used — "minimalist", "calm", "Linear-style", "Awwwards", "brutalist", "premium", "Apple-y", "playful", "editorial", "kinetic", "cinematic", "glassy", "dark tech".
- References — URLs, screenshots, brands the user named or is competing with.
- Audience — B2B procurement panel vs. design-conscious consumer vs. recruiter scanning a portfolio. The audience picks the aesthetic, not the agent's taste.
- Brand assets that already exist — logo, palette, type, photography. For redesigns these are starting material, not optional input.
- Quiet constraints — accessibility-first audiences, public-sector, regulated industries, kids' products. These constraints override aesthetic preference.
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 · 315 lines · 170 tokens per session scan A 4baff3507c0a
motion-design-taste is a skill published in the GitHub repository taotao135791-bit/gsap-transform (2 stars, last pushed 2mo ago), licensed MIT. It adds 170 tokens to every session and 5,663 once invoked, about $0.0009 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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