figma-raw-geometry

figma-raw-geometry is a skill for Codex from fellipeutaka/leon. It costs 66 tokens per session (1,819 once invoked), scanned A, original, MIT.

A method for retrieving exact layer measurements and properties from Figma, the interface-design tool, for turning designs into code or recreating their animations.

In plain words
What is it for?
Use it to measure local or page-space geometry, map layers across component variants, and reconstruct Smart Animate transitions when Figma output is incomplete.
Why use it?
Screenshots show only the final appearance, while Figma's node data can reveal bounds, transforms, rotation, visibility, opacity, and variant structure.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to measure local or page-space geometry, map layers across component variants, and reconstruct Smart Animate transitions when Figma output is incomplete.

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Install with agentmods
npx agentmods add skills/fellipeutaka/leon/figma-raw-geometry
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.

Any agent
npx skills add fellipeutaka/leon --skill figma-raw-geometry
Clone the repo
git clone --depth 1 https://github.com/fellipeutaka/leon

Made for: 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.

agentmods badge for figma-raw-geometry

README.md
[![agentmods](https://agentmods.dev/badge/skills/fellipeutaka/leon/figma-raw-geometry.svg)](https://agentmods.dev/skills/fellipeutaka/leon/figma-raw-geometry)
Your own site
<a href="https://agentmods.dev/skills/fellipeutaka/leon/figma-raw-geometry"><img src="https://agentmods.dev/badge/skills/fellipeutaka/leon/figma-raw-geometry.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,819 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.01819
Opus 5 $0.00033 $0.00910
Sonnet 5 $0.00013 $0.00364
Haiku 4.5 $0.00007 $0.00182

Measured 8d ago against content hash 2c0232c7dc1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

figma-raw-geometry scanned grade A with 1 finding 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 8d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl --fail-with-body --silent --show-error \\
skills/figma-raw-geometry/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use the Figma REST API as a measurement source. Return numeric measurements with field provenance and keep implementation assumptions separate from fetched values. A screenshot describes one rendered state; the node JSON exposes the state's geometry, transforms, visibility, and layer opacity.

1. Define the states and targets

Collect:

  • the file key, decoded from the Figma URL;
  • the containing frame or component-set id;
  • every target state or variant id;
  • the target layer mapping for each state; and
  • the ordered prototype edges when reconstructing animation.

Decode a URL's node-id=123-456 as the Figma id 123:456, including URL percent-decoding when necessary. Do not infer prototype order from variant names. If an available Figma MCP metadata tool can enumerate a component set, use it. Otherwise, request the component-set node with the REST nodes endpoint and depth=1 to discover its direct variant children.

Map corresponding layers by structural path plus name. Include a sibling index when names repeat; do not assume that child node ids are shared between component variants.

Done when every requested state has a file key, root id, containing-frame id, and an unambiguous target-layer mapping, or an explicit unresolved reason.

2. Authenticate outside the conversation

Read FIGMA_TOKEN from the process environment. The token needs Figma's file_content:read scope and access to the target file.

If the variable is absent, ask the user to set it in their own shell or secret manager and then confirm that it is available. Keep the secret out of chat, files, command output, and commits. The agent cannot export a value into the user's parent shell, so do not ask the user to paste the token into the conversation.

Done when a usable environment token is available without the token value being printed or persisted by this workflow.

3. Fetch the node JSON in bounded bulk

Request all required ids together when the URL and response are practical. If the target set is too large, split it into bounded batches and pin the same Figma version for every batch. Use depth to avoid fetching irrelevant descendants; add geometry=paths only when vector path data is needed.

Read the full file on GitHub · 191 lines

Files

What ships with it

1 file 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.

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.

  1. 8d ago First seen · 191 lines · 66 tokens per session scan A 2c0232c7dc1e

Subscribe to this mod's changes

figma-raw-geometry is a skill published in the GitHub repository fellipeutaka/leon (5 stars, last pushed 4d ago), licensed MIT. It adds 66 tokens to every session and 1,819 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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