designmdme-cli

designmdme-cli is a skill for Claude Code, Codex from CrowdLinker/Skills. It costs 123 tokens per session (2,953 once invoked), scanned A, original, MIT.

A command-line tool that examines a public website and writes a DESIGN.md describing its visual design, such as colors, fonts, spacing, shadows, and common components. It can also create an HTML preview of those design details.

In plain words
What is it for?
Extracting a website’s design system, preparing design references for a new project, checking a brand’s visual tokens, or creating a live preview of the extracted styles.
Why use it?
It gives coding agents concrete design values to follow when matching an existing website, reducing guesswork about colors, typography, and layout style.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/crowdlinker/skills/designmdme-cli
Any agent
npx skills add CrowdLinker/Skills --skill designmdme-cli
Clone the repo
git clone --depth 1 https://github.com/CrowdLinker/Skills

Made for: Claude Code, Codex.

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.

agentmods badge for designmdme-cli

README.md
[![agentmods](https://agentmods.dev/badge/skills/crowdlinker/skills/designmdme-cli.svg)](https://agentmods.dev/skills/crowdlinker/skills/designmdme-cli)
Your own site
<a href="https://agentmods.dev/skills/crowdlinker/skills/designmdme-cli"><img src="https://agentmods.dev/badge/skills/crowdlinker/skills/designmdme-cli.svg" alt="Measured on agentmods" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,953 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00123 $0.02953
Opus 5 $0.00062 $0.01477
Sonnet 5 $0.00025 $0.00591
Haiku 4.5 $0.00012 $0.00295

Measured 5d ago against content hash 2f2c23518e20, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

designmdme-cli 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 5d 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.

designmdme-cli/SKILL.md · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

designmdme CLI

designmdme turns any public website into a DESIGN.md — a structured Markdown spec of that site's design system (color tokens, typography scale, spacing, border radius, shadows/elevation, and component patterns). It can optionally also produce a self-contained HTML preview that renders those tokens as live visual specimens.

The DESIGN.md is built to be fed to coding agents: when a user asks you to build or restyle a UI to match a real brand, generate the spec first, read it, then write code against its exact token values instead of guessing colors and fonts.

When to use this skill

Use it whenever the task depends on an accurate, real design system from a live site:

  • "Build a landing page in the style of stripe.com" → generate stripe.com, read the DESIGN.md, then implement using its actual hex values and font stack.
  • "Match our marketing site's design" / "make this look on-brand" → extract that URL.
  • "What's linear.app's color palette / font?" → generate and read the relevant section.
  • Setting up a new project's design tokens from an existing reference site.

If the user only wants a quick visual impression and no code, the HTML preview (--html) is the shareable artifact. For everything code-related, the Markdown is the source of truth.

Install

The binary is designmdme, published as @crowdlinker/designmdme.

# One-off (no install)
npx @crowdlinker/designmdme stripe.com

# Or install globally so the `designmdme` command is always available
npm install -g @crowdlinker/designmdme

Authentication (one-time, interactive)

The CLI is account-gated; generation requires a logged-in token. Auth uses a browser device-code flow and stores a token at ~/.designmdme/auth.json (token + expiry only, no other PII). Tokens default to a 30-day lifetime.

designmdme login     # opens a browser, prints a fallback URL + code, then polls
designmdme whoami    # prints the logged-in email + token expiry
designmdme logout    # deletes ~/.designmdme/auth.json

Read the full file on GitHub · 238 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.

  1. 5d ago First seen · 238 lines · 123 tokens per session scan A 2f2c23518e20

Subscribe to this mod's changes

designmdme-cli is a skill published in the GitHub repository CrowdLinker/Skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 123 tokens to every session and 2,953 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens