What is TalkToFigmaDesktop AGENTS.md?

Repository instructions for TalkToFigma Desktop, an Electron desktop app that connects Figma with AI coding tools through MCP. Electron lets one JavaScript-based app run on macOS, Windows, and Linux; Figma is a collaborative design tool.

Starting the development app, linting TypeScript and React code, building components, and creating platform installers.

They explain the app's architecture, migration history, and commands needed to develop and package it.

How grab/TalkToFigmaDesktop configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to grab/TalkToFigmaDesktop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/grab/TalkToFigmaDesktop/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/grab/TalkToFigmaDesktop

Made for: Codex, OpenCode.

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/instructions/grab/talktofigmadesktop/agents-md/github.svg)](https://agentmods.dev/instructions/grab/talktofigmadesktop/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/grab/talktofigmadesktop/agents-md"><img src="https://agentmods.dev/badge/instructions/grab/talktofigmadesktop/agents-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/grab/talktofigmadesktop/agents-md"><img src="https://agentmods.dev/badge/instructions/grab/talktofigmadesktop/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,879 This file is loaded in full into every session.

When invoked 2,879 The same file — it is already loaded in full.

Security scan C 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.

Model	Per session	Once invoked
Fable 5.1	$0.02879	$0.02879
Opus 5.5	$0.01152	$0.01152
Sonnet 5.5	$0.00576	$0.00576
Haiku 4.5	$0.00288	$0.00288

Measured 2mo ago against content hash 0c46bc95fa26, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

TalkToFigmaDesktop AGENTS.md scanned grade C 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 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

- Clear Vite cache: `rm -rf .vite`

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

TalkToFigmaDesktop CLAUDE.md — 97% identical, 12 lines differ

AGENTS.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.

Project Overview

TalkToFigma Desktop is an Electron-based desktop application that bridges Figma with AI tools (Cursor, Codex, VS Code) using the Model Context Protocol (MCP). It enables AI assistants to read and manipulate Figma designs through a structured protocol.

Current Version: 2.0.0 Bundle ID: com.grabtaxi.klever Architecture: Electron + React + TypeScript

Migration History

This project was migrated from Kotlin Compose Desktop to Electron in January 2026 (v2.0.0). The Electron version maintains feature parity while adding cross-platform support (macOS, Windows, Linux) and better developer experience with modern JavaScript tooling.

Development Commands

Start Development Server

npm start
# Launches Electron app with hot reload
# Main process: src/main.ts
# Renderer process: src/renderer.tsx

Build & Package

npm run package  # Package for current platform
npm run make     # Create distributable installers

Linting

npm run lint     # Run ESLint on TypeScript files

Building Individual Components

The project uses Vite with multiple entry points configured in forge.config.ts:

Main process: src/main.ts → vite.main.config.ts
Preload script: src/preload.ts → vite.preload.config.ts
Renderer: React app → vite.renderer.config.ts
MCP stdio server: src/main/server/mcp-stdio-server.ts → vite.stdio.config.ts

Architecture

High-Level Overview

MCP Clients (Cursor, Codex, etc.)
    │ spawn independent process per client
    ▼
stdio MCP Servers (one per client)
    │ WebSocket connection (ws://127.0.0.1:3055)
    ▼
WebSocket Server (Electron App - Port 3055)
    │ Channel-based routing
    ▼
Figma Plugin

Core Architectural Concepts

1. Multi-Process Architecture

Each MCP client (Cursor, Codex) spawns its own independent stdio server process
stdio servers are NOT managed by the Electron app - they're spawned by the MCP clients themselves
All stdio servers connect to the same WebSocket server (port 3055) in the Electron app
This allows multiple AI tools to work with Figma simultaneously

Read the full file on GitHub · 303 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.

2mo ago First seen · 303 lines · 2,879 tokens per session scan C 0c46bc95fa26

Subscribe to this mod's changes

TalkToFigmaDesktop AGENTS.md is an instructions file published in the GitHub repository grab/TalkToFigmaDesktop (54 stars, last pushed 6mo ago), licensed MIT. It adds 2,879 tokens to every session, about $0.0115 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents Design and UX

TalkToFigmaDesktop AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
TalkToFigmaDesktop AGENTS.mdgrab/TalkToFigmaDesktop	Instructions file	54	6mo ago	MIT	C	2,879	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

TalkToFigmaDesktop: Instructions file for Codex