Atlas / Skills / openai / Figma

FigmaSAFE

skills/openai/figma

Skills Catalog for Codex

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
—
Stars
28,335
01

Overview

Skills Catalog for Codex

Read from source at commit 21ca169598cfOBSERVED · 2026-10-27
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02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
codexmentioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: figma
description: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
---

# Figma MCP

Use the Figma MCP server for Figma-driven implementation. For setup and debugging details (env vars, config, verification), see `references/figma-mcp-config.md`.

## Figma MCP Integration Rules
These rules define how to translate Figma inputs into code for this project and must be followed for every Figma-driven change.

### Required flow (do not skip)
1. Run get_design_context first to fetch the structured representation for the exact node(s).
2. If the response is too large or truncated, run get_metadata to get the high-level node map and then re-fetch only the required node(s) with get_design_context.
3. Run get_screenshot for a visual reference of the node variant being implemented.
4. Only after you have both get_design_context and get_screenshot, download any assets needed and start implementation.
5. Translate the output (usually React + Tailwind) into this project's conventions, styles and framework. Reuse the project's color tokens, components, and typography wherever possible.
6. Validate against Figma for 1:1 look and behavior before marking complete.

### Implementation rules
- Treat the Figma MCP output (React + Tailwind) as a representation of design and behavior, not as final code style.
- Replace Tailwind utility classes with the project's preferred utilities/design-system tokens when applicable.
- Reuse existing components (e.g., buttons, inputs, typography, icon wrappers) instead of duplicating functionality.
- Use the project's color system, typography scale, and spacing tokens consistently.
- Respect existing routing, state management, and data-fetch patterns already adopted in the repo.
- Strive for 1:1 visual parity with the Figma design. When conflicts arise, prefer design-system tokens and adjust spacing or sizes minimally to match visuals.
- Validate the final UI against the Figma screenshot for both look and behavior.

### Asset handling
- The Figma MCP Server provides an assets endpoint which can serve image and SVG assets.
- IMPORTANT: If the Figma MCP Server returns a localhost source for an image or an SVG, use that image or SVG source directly.
- IMPORTANT: DO NOT import/add new icon packages, all the assets should be in the Figma payload.
- IMPORTANT: do NOT use or create placeholders if a localhost source is provided.

### Link-based prompting
- The server is link-based: copy the Figma frame/layer link and give that URL to the MCP client when asking for implementation help.
- The client cannot browse the URL but extracts the node ID from the link; always ensure the link points to the exact node/variant you want.

## References
- `references/figma-mcp-config.md` — setup, verification, troubleshooting, and link-based usage reminders.
- `references/figma-tools-and-prompts.md` — tool catalog and prompt patterns for selecting frameworks/components and fetching metadata.
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-27 · audit v0.4.1 · source sha 21ca169598cffull audit observations/trust-audit/skill/openai__figma.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-2721ca169598cfSAFEB89first audit
06

Questions

What does the figma — openai/skills skill do?

Skills Catalog for Codex

Is figma — openai/skills safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can figma — openai/skills access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does figma — openai/skills work with?

Its documentation mentions codex. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (21ca169598cf), read on 2026-10-27. The repository is watched, and a new audit runs when it changes — this is the first audit.

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