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 agentmods add rules/taotao135791-bit/gsap-transform/gsap-performancegit 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/rules/taotao135791-bit/gsap-transform/gsap-performance)<a href="https://agentmods.dev/rules/taotao135791-bit/gsap-transform/gsap-performance"><img src="https://agentmods.dev/badge/rules/taotao135791-bit/gsap-transform/gsap-performance.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00293 |
| Opus 5 | $0.00000 | $0.00147 |
| Sonnet 5 | $0.00000 | $0.00059 |
| Haiku 4.5 | $0.00000 | $0.00029 |
Grade A, and why
gsap-performance 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 5d 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.
What it actually says
gsap-performance
- High-frequency updates (mousemove, scroll, drag): use
gsap.quickTo(target, "x", { duration: 0.5, ease: "power3" })and call the returned function with new values. One reused tween instance, no GC churn. - Transform-only for moving / scaling / rotating. Do NOT animate
top,left,width,height,margin— these trigger layout, not just composite. will-change: transformon actively animated elements; remove it after the animation ends (reset inline style or remove class).- ScrollTrigger lists: prefer
ScrollTrigger.batchover a forEach + per-item ScrollTrigger. - Avoid
getProperty()insideonUpdatecallbacks of high-frequency tweens — cache once. - For thousands of objects (particles, dots):
gsap.to(arrayOfTargets, { ... stagger })instead of one tween per element.
For full reference: skills/gsap-performance/SKILL.md.
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.
- 5d ago First seen · 17 lines · 0 tokens per session scan A e44f39f33f35
gsap-performance is a cursor rule published in the GitHub repository taotao135791-bit/gsap-transform (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 293 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 2026-08-31.
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