Borrowing it
Nothing to install: this file belongs to frankxai/awesome-motion-design-agent-skills. 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/frankxai/awesome-motion-design-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/frankxai/awesome-motion-design-agent-skillsWrote 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/instructions/frankxai/awesome-motion-design-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/frankxai/awesome-motion-design-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/frankxai/awesome-motion-design-agent-skills/agents-md/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/instructions/frankxai/awesome-motion-design-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/frankxai/awesome-motion-design-agent-skills/agents-md.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 | $0.00738 | $0.00738 |
| Opus 5.5 | $0.00295 | $0.00295 |
| Sonnet 5.5 | $0.00148 | $0.00148 |
| Haiku 4.5 | $0.00074 | $0.00074 |
Grade A, and why
awesome-motion-design-agent-skills AGENTS.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 24d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Instructions
This repo is the public motion-agent discovery and authority layer for FrankX, Starlight, and Arcanea.
Scope
- Maintain curated rankings, playbooks, skills, MCP notes, and rubrics for AI agents doing motion design.
- Prefer official sources, active repos, clear licenses, and examples that improve shipped output.
- Keep this repo public-safe: no private brand strategy, internal credentials, paid assets, client work, non-public memory, or local machine paths (CI enforces the last one).
Quality Bar
- Rank by usefulness to real agent workflows, not by hype or stars alone.
- Separate product UI motion, creative web motion, interactive assets, video generation, capture/QA, and MCP/design-tool context.
- Every new tool entry should answer: when to use it, why it matters, agent fit, risk, and source/license notes.
- Avoid giant unsorted lists. Curate aggressively.
Maintenance
- Refresh external links and rankings at least monthly.
- Prefer primary links: official docs, official GitHub repos, vendor MCP docs, and standards.
- Keep
skills-lock.jsonaligned with third-party skills actually referenced by the repo. - Do not commit installed third-party skill folders unless the source license and purpose are explicit.
Verification
- Before publishing, scan for broken Markdown links, stale dates, placeholders, and private/internal paths.
- If adding setup commands, verify they are current and make clear whether they are global, repo-local, or agent-environment-specific.
Design Taste Kernel
For any site, app, landing page, dashboard, visual identity, brand, motion, media, social, or frontend task, apply the maintainer's Design Taste Kernel (design taste, web experience standard, motion taste rubric, multi-agent design council, visual QA gate) before handoff. Those documents live in the maintainer's private estate and are intentionally not referenced by path here.
When motion, scroll, generated media, GIF/video, or premium polish matters, route through the skills in skills/ and verify the result visually.
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.
- 24d ago Changed · -9 lines · -187 tokens per session f35166477e7e
- 1mo ago First seen · 65 lines · 925 tokens per session scan A cdb971052a0b
awesome-motion-design-agent-skills AGENTS.md is an instructions file published in the GitHub repository frankxai/awesome-motion-design-agent-skills (86 stars, last pushed 3d ago), licensed CC0-1.0. It adds 738 tokens to every session, about $0.0030 per session on Opus 5.5. 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 2026-09-01.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.