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 | $0.00925 | $0.00925 |
| Opus 5 | $0.00463 | $0.00463 |
| Sonnet 5 | $0.00185 | $0.00185 |
| Haiku 4.5 | $0.00093 | $0.00093 |
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 10d 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 — 65 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, or non-public memory.
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 shared Design Taste Kernel before handoff:
- C:\Users\frank\starlight\repos\DESIGN_TASTE.md
- C:\Users\frank\starlight\repos\WEB_EXPERIENCE_STANDARD.md
- C:\Users\frank\starlight\repos\MOTION_TASTE_RUBRIC.md
- C:\Users\frank\starlight\repos\MULTI_AGENT_DESIGN_COUNCIL.md
- C:\Users\frank\starlight\repos\VISUAL_QA_GATE.md
When motion, scroll, generated media, GIF/video, or premium polish matters, route through the Motion Design Studio plugin/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.
- 10d 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 (0 stars, last pushed 3d ago), licensed CC0-1.0. It adds 925 tokens to every session, about $0.0046 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 2026-09-01.
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