Borrowing it
Nothing to install: this file belongs to Opti-kjh/palette. 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/Opti-kjh/palette/main/CLAUDE.mdgit clone --depth 1 https://github.com/Opti-kjh/paletteWrote 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/opti-kjh/palette/claude-md)<a href="https://agentmods.dev/instructions/opti-kjh/palette/claude-md"><img src="https://agentmods.dev/badge/instructions/opti-kjh/palette/claude-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/opti-kjh/palette/claude-md"><img src="https://agentmods.dev/badge/instructions/opti-kjh/palette/claude-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 | $0.00959 | $0.00959 |
| Opus 5 | $0.00479 | $0.00479 |
| Sonnet 5 | $0.00192 | $0.00192 |
| Haiku 4.5 | $0.00096 | $0.00096 |
Grade A, and why
palette CLAUDE.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 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.
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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Palette is an MCP (Model Context Protocol) server that converts Figma designs to React/Vue components using the Dealicious Design System. It acts as a bridge between Figma and code generation, ensuring all generated components use the internal design system.
Common Commands
# Install dependencies
yarn install
# Build the project
yarn build
# Start the MCP server
yarn start
# Development mode (with hot reload)
yarn dev
# Run tests
yarn test
# Test services
yarn test:services
# Test Figma tools
yarn test:figma-tools
# Test MCP servers
yarn test:mcp-servers
Architecture
src/
├── index.ts # MCP server entry point - defines tools and handlers
├── services/
│ ├── figma.ts # Figma data fetching (MCP-first with REST API fallback)
│ ├── design-system.ts # Design system component registry and mapping
│ └── code-generator.ts # React/Vue code generation with preview
└── utils/
├── figma-mcp-client.ts # Figma Desktop MCP client
└── request-manager.ts # Request ID and file management
MCP Tools
The server exposes four tools:
convert_figma_to_react- Convert Figma design to React componentconvert_figma_to_vue- Convert Figma design to Vue componentlist_design_system_components- List available design system componentsanalyze_figma_file- Analyze Figma file structure
Data Flow
- Figma Data Fetching:
FigmaServicefetches data via Figma Desktop MCP (priority) or REST API (fallback) - Component Mapping:
DesignSystemServicemaps Figma nodes to design system components - Code Generation:
CodeGeneratorproduces React/Vue code with HTML/image previews
Critical Rules
Rule 1: Figma Access via MCP Only
When working with Figma data:
- MUST USE:
list_mcp_resourcesorfetch_mcp_resourcetools - NEVER: Direct Figma API calls (
fetch('https://api.figma.com/...')) - NEVER: Ask users to copy/paste from Figma
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.
- 8d ago First seen · 127 lines · 959 tokens per session scan A ef79d0b5fedd
palette CLAUDE.md is an instructions file published in the GitHub repository Opti-kjh/palette (1 stars, last pushed 7mo ago), licensed MIT. It adds 959 tokens to every session, about $0.0048 per session on Opus 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 2026-08-31.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.