A bridge from Figma, a collaborative design and prototyping tool, into HyperFrames compositions. It imports selected Figma assets such as images, logos, vectors, and motion exports into local project files.

Use it when you have a Figma link and need to bring a frame, logo, image, or animation into a HyperFrames video or composition.

It lets a video composition reuse approved design work while keeping imported assets available for repeatable local rendering.

figma — Skill for Claude Code and Codex by maiscafe: A bridge from Figma, a collaborative design and prototyping…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/maiscafe/video_motion/figma

Any agent

npx skills add maiscafe/video_motion --skill figma

Clone the repo

git clone --depth 1 https://github.com/maiscafe/video_motion

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/maiscafe/video_motion/figma.svg)](https://agentmods.dev/skills/maiscafe/video_motion/figma)

Your own site

<a href="https://agentmods.dev/skills/maiscafe/video_motion/figma"><img src="https://agentmods.dev/badge/skills/maiscafe/video_motion/figma.svg" alt="Measured on agentmods" height="20"></a>

Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 652 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00068	$0.00652
Opus 5	$0.00034	$0.00326
Sonnet 5	$0.00014	$0.00130
Haiku 4.5	$0.00007	$0.00065

Measured 3d ago against content hash 94990b743476, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

.agents/skills/figma/SKILL.md · 41 lines

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)) where id = nextId(projectDir,"image").
Ledger: appendRecord(projectDir, { id, type:"image", path, source:"figma", width, height, provenance:{ source:"figma", fileKey, nodeId, format } }).
Emit buildAssetSnippet(record).html into the composition. Re-import guard: findByFigmaNode before re-fetching.

Motion import

get_motion_context(fileKey, nodeId) → read the codeSnippets.motionDev (and .css).
Normalize it into a MotionDoc: for each animated property build a MotionTrack { 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's data-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 on window.__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.

Read the full file on GitHub · 41 lines

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.

3d ago First seen · 41 lines · 68 tokens per session scan A 94990b743476

Subscribe to this mod's changes

figma is a skill published in the GitHub repository maiscafe/video_motion (2 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 652 once invoked, about $0.0003 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.

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figma