Figwright is a two-way Model Context Protocol server that lets coding agents exchange information with Figma through a companion plugin, turning designs into framework-aware code and editing the Figma canvas from code. Developers use it with agents such as Claude Code, Cursor, or Codex to read design context and create or modify Figma elements, and the catalogue contains skills and other workflow components for those interactions.
Borrowing it
Nothing to install: this file belongs to awdr74100/figwright. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/awdr74100/figwright/main/AGENTS.mdgit clone --depth 1 https://github.com/awdr74100/figwrightWrote 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.
[](https://agentmods.dev/instructions/awdr74100/figwright/agents-md)<a href="https://agentmods.dev/instructions/awdr74100/figwright/agents-md"><img src="https://agentmods.dev/badge/instructions/awdr74100/figwright/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.
<a href="https://agentmods.dev/instructions/awdr74100/figwright/agents-md"><img src="https://agentmods.dev/badge/instructions/awdr74100/figwright/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.05435 | $0.05435 |
| Opus 5.5 | $0.02174 | $0.02174 |
| Sonnet 5.5 | $0.01087 | $0.01087 |
| Haiku 4.5 | $0.00543 | $0.00543 |
Grade A, and why
figwright AGENTS.md 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 17d 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.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Figwright is an open-source, bidirectional Figma agent for MCP clients (Claude Code and others). It connects an MCP server to a Figma plugin over a local WebSocket relay, letting an AI agent both read designs with high-fidelity grounding and write back to the canvas — no Figma paid tier required.
This file is the canonical guide for AI agents and contributors working in this repo. (CLAUDE.md points here.)
Architecture
Two halves talk over a local WebSocket relay:
- MCP server (
packages/mcp, published as@figwright/mcp) — the Node process an MCP client launches. It exposes reads, writes, and higher-level grounding tools that join Figma data with the user's codebase (component / token / icon maps), plus a codegen prompt. It owns the relay, leader/follower election (multiple MCP servers can share one plugin; newest build wins — a leader on an older build abdicates to a newer one at the next idle moment), and request idempotency. - Figma plugin (
packages/plugin) — a Vue 3 + Vite UI plus a sandbox that runs inside Figma and performs the actual Figma API calls. It connects out to the server's WebSocket. - Shared (
packages/shared) — types, Zod schemas, the msgpack wire codec, and the plugin↔server protocol. It is bundled into the server at build time (not published on its own).
Design stance: provider-first. Rather than a fixed compiler pipeline, the tools surface faithful, de-duplicated design context and let the LLM generate code that matches the user's actual stack (detected framework / styling system). The figma-codegen skill and the MCP figma_to_code prompt encode this approach.
Layout
packages/
shared/ # types, Zod schemas, msgpack codec, plugin↔server protocol (bundled into mcp)
mcp/ # the MCP server — @figwright/mcp (Node, ESM): relay, election, tools, joins
plugin/ # Figma plugin — Vue 3 + Vite + Tailwind v4 (UI) + sandbox (Figma API)
skills/ # agent skills that orchestrate the tools (figma-codegen, figma-build) — installable via `npx skills add`
test/ # cross-package integration tests (e.g. server tool registry ↔ plugin handlers)
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.
- 17d ago Changed · +1 lines · +219 tokens per session 3565eef49564
- 1mo ago Changed · +2 tokens per session 74e4a9e15db0
- 1mo ago Changed · +11 tokens per session 5c3d5c531c77
- 1mo ago Changed 0fe8a797cb72
- 1mo ago First seen · 100 lines · 5,203 tokens per session scan A f89cf1267b0e
figwright AGENTS.md is an instructions file published in the GitHub repository awdr74100/figwright (1,201 stars, last pushed yesterday), licensed MIT. It adds 5,435 tokens to every session, about $0.0217 per session on Opus 5.5. 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.