gsap-transform: Instructions file for GitHub Copilot

.github/instructions/motion-recipes.instructions.md

gsap-transform motion-recipes.instructions.md is an instructions file for GitHub Copilot from taotao135791-bit/gsap-transform. It costs 322 tokens per session, scanned A, original, MIT.

A set of ready-made starting patterns for GSAP motion projects. GSAP is a JavaScript library for web animation, and each pattern provides a different structure for a particular visual style or page type.

In plain words
What is it for?
Use it to start animations for agency pages, dashboards, SaaS sites, public-sector pages, magazine layouts, bold landing pages, and cinematic scrolling presentations.
Why use it?
It avoids having to design an animation structure from an empty file after deciding the project's visual direction. The patterns help match common page needs, such as product grids, landing pages, and scroll-based stories.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is taotao135791-bit/gsap-transform's own configuration. It tells GitHub Copilot how to work on gsap-transform itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gsap-transform configures →

Reuse

Borrowing it

Nothing to install: this file belongs to taotao135791-bit/gsap-transform. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/taotao135791-bit/gsap-transform/main/.github/instructions/motion-recipes.instructions.md
Clone the repo
git clone --depth 1 https://github.com/taotao135791-bit/gsap-transform

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for gsap-transform motion-recipes.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/taotao135791-bit/gsap-transform/motion-recipes/github.svg)](https://agentmods.dev/instructions/taotao135791-bit/gsap-transform/motion-recipes)
Your own site
<a href="https://agentmods.dev/instructions/taotao135791-bit/gsap-transform/motion-recipes"><img src="https://agentmods.dev/badge/instructions/taotao135791-bit/gsap-transform/motion-recipes/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.

agentmods 80×15 button for gsap-transform motion-recipes.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/taotao135791-bit/gsap-transform/motion-recipes"><img src="https://agentmods.dev/badge/instructions/taotao135791-bit/gsap-transform/motion-recipes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 322 This file is loaded in full into every session.
When invoked 322 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00322 $0.00322
Opus 5 $0.00161 $0.00161
Sonnet 5 $0.00064 $0.00064
Haiku 4.5 $0.00032 $0.00032

Measured 9d ago against content hash 6de986419028, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

gsap-transform motion-recipes.instructions.md 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 9d 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.

.github/instructions/motion-recipes.instructions.md · 23 lines

What it actually says

motion-recipes — path-specific instructions

After motion-design-taste has set the three dials and chosen a motion mode, pick one of the eight clone-able recipes as the starting skeleton instead of writing from scratch:

Recipe When Key plugins
Editorial Kinetic Editorial / agency / portfolio with strong typography SplitText, ScrollTrigger
Brutalist Scroll Heavy, raw, high-design-variance Pinned ScrollTrigger, Flip
Liquid Glass Hover Premium / dark-tech / Apple-inspired quickTo, backdrop-filter
Bento Flip Product / dashboard / feature grid ScrollTrigger.batch, Flip
Minimal Fade B2B SaaS / public-sector / accessibility-first autoAlpha, small y
Cinematic Pinned Scrub Awwwards-style scroll story pin + scrub, MorphSVG, multi-layer parallax
Kinetic Type Stagger Bold landing / single statement SplitText (chars), expo.out stagger
Grid Break Overlap Magazine-style asymmetric layout ScrollTrigger, differential y

Each recipe ships dial values, type pool, color rule, layout pattern, motion language band, and a code skeleton. Clone and override only what the brief specifies.

For full skeletons: skills/motion-recipes/SKILL.md.

Changes

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.

  1. 9d ago First seen · 23 lines · 322 tokens per session scan A 6de986419028

Subscribe to this mod's changes

gsap-transform motion-recipes.instructions.md is an instructions file published in the GitHub repository taotao135791-bit/gsap-transform (2 stars, last pushed 2mo ago), licensed MIT. It adds 322 tokens to every session, about $0.0016 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.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 3,735 tokens