Borrowing it
Nothing to install: this file belongs to maiscafe/video_motion. 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/maiscafe/video_motion/master/.agents/skills/figma/SKILL.mdgit clone --depth 1 https://github.com/maiscafe/video_motionWrote 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/maiscafe/video_motion/figma)<a href="https://agentmods.dev/skills/maiscafe/video_motion/figma"><img src="https://agentmods.dev/badge/skills/maiscafe/video_motion/figma/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/maiscafe/video_motion/figma"><img src="https://agentmods.dev/badge/skills/maiscafe/video_motion/figma.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 | $0.00068 | $0.00652 |
| Opus 5.5 | $0.00027 | $0.00261 |
| Sonnet 5.5 | $0.00014 | $0.00130 |
| Haiku 4.5 | $0.00007 | $0.00065 |
Grade A, and why
figma 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 2mo 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figma → HyperFrames
Bring the user's Figma work into a composition. MCP-first: you (the agent) call the Figma MCP tools, then hand their output to the pure helpers in @hyperframes/core/figma, freezing every asset locally so renders stay deterministic.
Auth
Requires the Figma MCP connector (one-click OAuth). If tools error unauthenticated, tell the user to connect Figma and stop.
Routing
Parse the user's figma link with parseFigmaRef. Then by intent:
- "use this layer / logo / image" → Asset import
- "import this animation / motion" → Motion import
- brand tokens / components → not in this skill version (see the design spec roadmap).
Asset import
get_metadata(fileKey, nodeId)→ confirm the node, capture width/height.- Export it:
download_assets(or node image export) for PNG; prefer SVG for vectors. - Freeze: write the bytes with
freezeBytes(bytes, join(typeDirPath(projectDir,"image"), id + ext))whereid = nextId(projectDir,"image"). - Ledger:
appendRecord(projectDir, { id, type:"image", path, source:"figma", width, height, provenance:{ source:"figma", fileKey, nodeId, format } }). - Emit
buildAssetSnippet(record).htmlinto the composition. Re-import guard:findByFigmaNodebefore re-fetching.
Motion import
get_motion_context(fileKey, nodeId)→ read thecodeSnippets.motionDev(and.css).- Normalize it into a
MotionDoc: for each animated property build aMotionTrack{ property (motion.dev name), values, times (0..1), ease[] (named strings or[x1,y1,x2,y2]bezier arrays), duration, repeat }. Selector = the target element's stable id (#<id>from the component'sdata-figma-id/id). const spec = motionToGsap(doc);const script = emitTimelineScript(spec);→ inject as a<script>in the composition (after the GSAP + CustomEase CDN tags). The timeline is paused, finite, registered onwindow.__timelines.- If a track uses shader/spring/effect props with no GSAP mapping, bake instead:
export_video→ freeze MP4 → embed as<video class="clip">. Say which path you used.
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.
- 2mo ago First seen · 41 lines · 68 tokens per session scan A 94990b743476
figma is a skill published in the GitHub repository maiscafe/video_motion (2 stars, last pushed 4mo ago), licensed MIT. It adds 68 tokens to every session and 652 once invoked, about $0.0003 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 2026-08-31.
figma compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| figmamaiscafe/video_motion | Skill | 2 | 4mo ago | MIT | A | 68 | Claude Code, Codex |
| webgl-holographic-foilnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 41 | Claude Code, Codex |
| html-ppt-hermes-cyber-terminalnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 53 | Claude Code, Codex |
| html-ppt-taste-brutalistnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 78 | Claude Code, Codex |
| visual-ralphYeachan-Heo/oh-my-codex | Skill | 34k | 3d ago | MIT | A | 52 | Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | yesterday | Apache-2.0 | A | 56 | Claude Code |
| accessibilitymicrosoft/hve-core | Skill | 1.6k | yesterday | MIT | A | 47 | Claude Code |