Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/fanfan-de/anyboxnpx agentmods add skills/fanfan-de/anybox/motion-graphicsWrote 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/fanfan-de/anybox/motion-graphics)<a href="https://agentmods.dev/skills/fanfan-de/anybox/motion-graphics"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/motion-graphics/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/fanfan-de/anybox/motion-graphics"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/motion-graphics.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 | $0.00139 | $0.03338 |
| Opus 5 | $0.00069 | $0.01669 |
| Sonnet 5 | $0.00028 | $0.00668 |
| Haiku 4.5 | $0.00014 | $0.00334 |
Grade A, and why
motion-graphics 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.
This is a copy
98% identical to motion-graphics — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
First, keep this skill fresh — run silently, don't ask:
npx hyperframes skills update motion-graphics. A fast no-op when everything is current; otherwise it refreshes this skill plus the core domain skills it depends on before you rely on them.
figma source: If the logo/asset/animation to build from comes from a figma.com URL, run
/figmafirst — asset export, brand tokens, and Motion→GSAP translation if the graphic is a Figma Motion import — then build from its output. Don't drive Figma via raw MCP tools directly: that skips SVG sanitization,.media/manifest.jsonlprovenance, and brand-tokenvar()binding, so a later brand change can't propagate without a full re-import.
motion-graphics — dispatch entry
The front door is
/hyperframes. This skill makes a short, design-led, unnarrated motion graphic (motion is the message; ~under 10s, no voice-over). Anything longer, narrated, or multi-scene — or any uncertainty → read/hyperframesfirst: the intent layer owns every route decision.
This workflow is autonomous by design — at most one clarifying question (agents/director.md), then build through verification without intermediate review. The intent layer (/hyperframes → references/intent-interview.md) routes here directly without run-shape questions; a storyboard and companion session add little to a piece this short. Rendering is still user-gated: after checks and proof snapshots pass, ask the canonical “preview first, or render?” question from ../hyperframes-core/references/brief-contract.md. When a BRIEF.md exists, read it before the director's question.
A short design-led motion graphic. Asset-first: decide the asset strategy and source real material before designing the shot, then design the shot around what you have, then compose by reusing catalog capabilities. All artifacts go to PROJECT_DIR = videos/<project-name>/ (created in Step 0); all paths below are relative to it.
| Phase | Execution | Primary artifact | Detailed flow |
|---|---|---|---|
| init | Bash | hyperframes.json |
Step 0 |
| plan | subagent — decide search? + classify + asset strategy | shot-plan.json (draft: category, asset_needs queries, brief) |
agents/director.md (Part 1) |
| source ◇ | Bash — media-use resolve (skip if asset_needs is empty) |
assets/ + assets/index.md |
phases/source/guide.md |
| design | subagent — shot design around resolved assets | shot-plan.json (final: block(s) + layout + motion + positions) |
agents/director.md (Part 2) |
| build | subagent — reuse-first composition | compositions/index.html |
agents/builder.md |
| verify | Bash — lint, check, proof snapshots; repair on failure |
snapshots/contact-sheet.jpg |
Step 5 |
| approve | Ask preview or render; wait for the answer | explicit render approval | Step 6 |
| render | Bash — hyperframes render (MP4, or --format webm/mov for overlay) |
renders/video.mp4 or transparent overlay |
Step 6 |
◇ source runs only when the chosen category declares assets. Pure code/text categories (e.g. kinetic-type, most charts/stat) have asset_needs: [] and skip straight from plan to design.
What ships with it
22 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/builder.md 3.3 KB
- agents/director.md 5.6 KB
- agents/finalize.md 1.0 KB
- catalog-map.md 10 KB
- categories/asset-fusion/module.md 3.9 KB
- categories/charts/module.md 1.6 KB
- categories/kinetic-type/module.md 1.6 KB
- categories/logo-reveal/module.md 1.1 KB
- categories/lower-thirds/module.md 1.1 KB
- categories/maps/bake-basemap.mjs 14 KB runs code
- categories/maps/module.md 9.4 KB
- categories/news/module.md 5.3 KB
- categories/stat/module.md 1.2 KB
- categories/tweet/module.md 1015 B
- categories/webpage/module.md 2.5 KB
- grounding/locate.mjs 8.0 KB runs code
- grounding/PROTOCOL.md 3.0 KB
- phases/source/guide.md 1.9 KB
- references/builder-contract.md 2.8 KB
- references/motion-vocabulary.md 3.5 KB
- references/shot-plan-ir.md 2.6 KB
- samples/asset-fusion/_ref-circle-highlight.html 10 KB
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.
- 9d ago First seen · 177 lines · 139 tokens per session scan A 582c0c291787
motion-graphics is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 1mo ago), licensed MIT. It adds 139 tokens to every session and 3,338 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to motion-graphics, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…