Atlas / Skills / tech-leads-club / Figma

FigmaSAFE

skills/tech-leads-club/figma

The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.0.0
Hosts
—
License
NOASSERTION
Stars
7,038
01

Overview

The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.

Read from source at commit 069343ba7895OBSERVED · 2026-10-07
02

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. Use when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. Covers general Figma data fetching and exploration. Do NOT use when the goal is specifically pixel-perfect code implementation from a Figma design (use figma-implement-design instead).
metadata:
  author: github.com/openai/skills
  version: '1.0.0'
---

# 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.
03

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 (1)

LOWInventory / provenance · inv.symlink · CWE-1104
CLAUDE.md
CLAUDE.md
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 069343ba7895full audit observations/trust-audit/skill/tech-leads-club__figma.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-07069343ba7895SAFEB89first audit
05

Questions

What does the Figma skill do?

The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.

Is Figma 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 access on my machine?

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

How current is this page?

The grade is for one exact copy of the source (069343ba7895), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.

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