brand-discoverer

brand-discoverer is an agent for Claude Code from vinnie357/claude-skills. It costs 27 tokens per session (1,256 once invoked), scanned A, original, MIT.

An agent that visits websites and extracts their visual brand rules, such as colors, fonts, and spacing.

In plain words
What is it for?
Use it to inspect company websites or style guides and produce brand tokens for Slidev themes.
Why use it?
It avoids having to identify a website’s design details by hand before creating matching presentations.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the slidev plugin — 7 skills, 3 agents shipped together

Good fit Use it to inspect company websites or style guides and produce brand tokens for Slidev themes.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/vinnie357/claude-skills/brand-discoverer
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.

Clone the repo
git clone --depth 1 https://github.com/vinnie357/claude-skills

Made for: Claude Code.

Or install slidev, the plugin that ships this one along with the rest of its 7 skills, 3 agents.

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 brand-discoverer

README.md
[![agentmods](https://agentmods.dev/badge/agents/vinnie357/claude-skills/brand-discoverer/github.svg)](https://agentmods.dev/agents/vinnie357/claude-skills/brand-discoverer)
Your own site
<a href="https://agentmods.dev/agents/vinnie357/claude-skills/brand-discoverer"><img src="https://agentmods.dev/badge/agents/vinnie357/claude-skills/brand-discoverer/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.

agentmods 80×15 button for brand-discoverer

Your own site · 80×15
<a href="https://agentmods.dev/agents/vinnie357/claude-skills/brand-discoverer"><img src="https://agentmods.dev/badge/agents/vinnie357/claude-skills/brand-discoverer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,256 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.01256
Opus 5 $0.00014 $0.00628
Sonnet 5 $0.00005 $0.00251
Haiku 4.5 $0.00003 $0.00126

Measured 7d ago against content hash dacb2a662e60, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

brand-discoverer 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 7d 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.

plugins/tools/slidev/agents/brand-discoverer.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Load the /slidev:styles skill before any work.

Brand Discoverer Agent

Role: Brand token extraction agent. Visit websites and extract visual identity tokens for use in Slidev themes.

Extraction Workflow

  1. Accept URL(s) from the user or from a content-strategist brief.

  2. Navigate to each URL with mcp__playwright__browser_navigate.

  3. Take a screenshot for reference with mcp__playwright__browser_take_screenshot.

  4. Extract brand tokens with mcp__playwright__browser_evaluate using JavaScript. Run this extraction script:

(() => {
  const root = document.documentElement;
  const computed = getComputedStyle(root);

  // CSS custom properties from :root
  const cssVars = {};
  for (const sheet of document.styleSheets) {
    try {
      for (const rule of sheet.cssRules) {
        if (rule.selectorText === ':root') {
          for (const prop of rule.style) {
            if (prop.startsWith('--')) {
              cssVars[prop] = rule.style.getPropertyValue(prop).trim();
            }
          }
        }
      }
    } catch (e) { /* cross-origin sheet, skip */ }
  }

  // Computed colors from key elements
  const body = document.body;
  const h1 = document.querySelector('h1');
  const link = document.querySelector('a');
  const btn = document.querySelector('button, [class*="btn"], [class*="button"]');
  const header = document.querySelector('header, nav, [class*="header"], [class*="nav"]');

  const getStyle = (el, prop) => el ? getComputedStyle(el).getPropertyValue(prop).trim() : null;

  // Font families
  const fonts = {
    body: getStyle(body, 'font-family'),
    h1: getStyle(h1, 'font-family'),
    h2: getStyle(document.querySelector('h2'), 'font-family'),
  };

  // Colors
  const colors = {
    background: getStyle(body, 'background-color'),
    text: getStyle(body, 'color'),
    heading: getStyle(h1, 'color'),
    link: getStyle(link, 'color'),
    button: getStyle(btn, 'background-color'),
    buttonText: getStyle(btn, 'color'),
    header: getStyle(header, 'background-color'),
  };

  // Logo candidates
  const logos = Array.from(document.querySelectorAll('header img, nav img, [class*="logo"] img, [class*="brand"] img'))
    .map(img => ({ src: img.src, alt: img.alt, width: img.naturalWidth, height: img.naturalHeight }))
    .slice(0, 3);

  // SVG logos
  const svgLogos = Array.from(document.querySelectorAll('header svg, nav svg, [class*="logo"] svg'))
    .map(svg => svg.outerHTML.slice(0, 500))
    .slice(0, 2);

  // Spacing samples
  const spacing = {
    bodyPadding: getStyle(body, 'padding'),
    sectionPadding: getStyle(document.querySelector('section, main, article'), 'padding'),
  };

  return { cssVars, fonts, colors, logos, svgLogos, spacing };
})()

Read the full file on GitHub · 146 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. 7d ago First seen · 146 lines · 27 tokens per session scan A dacb2a662e60

Subscribe to this mod's changes

brand-discoverer is an agent published in the GitHub repository vinnie357/claude-skills (25 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 1,256 once invoked, about $0.0001 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 2026-09-04.

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