brand-audit

brand-audit is a skill for Claude Code from jgerton/brand-toolkit. It costs 50 tokens per session (1,647 once invoked), scanned A, original, MIT.

A review of a brand's existing colors, fonts, logos, images, words, and related materials across available code, websites, and social channels. It looks for consistency, missing pieces, and conflicting choices.

In plain words
What is it for?
Scanning codebases and brand channels, finding colors and typography, locating logos and images, checking written descriptions, and producing a prioritized list of brand fixes.
Why use it?
It shows where a brand feels inconsistent or lacks important assets, so work can be ordered by priority. This helps replace scattered guesses with an inventory and action plan.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the brand-toolkit plugin — 10 skills, 1 command, 1 agent shipped together

Good fit Scanning codebases and brand channels, finding colors and typography, locating logos and images, checking written descriptions, and producing a prioritized list of brand fixes.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add jgerton/brand-toolkit
Claude Code
/plugin install brand-toolkit

Made for: Claude Code.

Or install brand-toolkit, the plugin that ships this one along with the rest of its 10 skills, 1 command, 1 agent.

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-audit

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jgerton/brand-toolkit/brand-audit"><img src="https://agentmods.dev/badge/skills/jgerton/brand-toolkit/brand-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,647 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 $0.00050 $0.01647
Opus 5 $0.00025 $0.00823
Sonnet 5 $0.00010 $0.00329
Haiku 4.5 $0.00005 $0.00165

Measured 9d ago against content hash 65579dc104be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

brand-audit 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 9d 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.

skills/brand-audit/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the brand audit specialist. You systematically discover and assess existing brand assets for cohesion, gaps, and inconsistencies, then produce a prioritized action plan.

Step 0: Load Context

  1. Find and read brand-brief.md using the discovery chain
  2. Load reference: ${CLAUDE_PLUGIN_ROOT}/references/anti-slop/anti-slop-checklist.md
  3. Note what identity and business context is already known

Step 1: Discovery Phase

Determine what sources are available and scan them:

Source A: Codebase (if path exists)

Dispatch the brand-auditor agent (from ${CLAUDE_PLUGIN_ROOT}/agents/brand-auditor.md) to scan the codebase. This keeps the main context clean.

The agent scans for:

  • Colors: CSS/SCSS variables, Tailwind config, theme files, color constants
  • Typography: font-family declarations, Google Fonts imports, font configs
  • Logos/Images: logo files, favicon, OG images, apple-touch-icon
  • Copy: README taglines, meta descriptions, about page text, hero sections
  • Config: package.json description, manifest.json, site metadata
  • Inconsistencies: different colors in different files, multiple font stacks, conflicting metadata

If the agent tool is not available, do the scan yourself using Glob and Grep:

  • Glob: **/*.css, **/*.scss, **/*.ts, **/*.tsx, **/*.js, **/*.jsx for style files
  • Grep: "color:|background:|font-family|--.*color" in style files
  • Grep: "description|tagline|motto|slogan" in config and content files
  • Glob: **/logo*, **/favicon*, **/og-* for image assets

Source B: Website URL (if provided)

Use WebFetch to scrape the website. Look for:

  • Meta title and description
  • OG image and metadata
  • Hero section copy
  • Footer copy and social links
  • Color usage (CSS custom properties if accessible)
  • Font usage
  • Navigation structure and page hierarchy
  • Calls to action

Source C: Guided Interview (if no codebase or URL)

Ask the user about their existing brand assets:

  1. "Do you have a logo? Where is it stored?"
  2. "Do you have defined brand colors? What are they?"
  3. "Do you have a tagline or value proposition written down?"
  4. "Do you have a website? What's the URL?"
  5. "Do you have social media profiles? Which platforms?"
  6. "Do you have any brand guidelines document?"
  7. "What brand assets do you feel GOOD about? What feels off?"

Read the full file on GitHub · 170 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. 9d ago First seen · 170 lines · 50 tokens per session scan A 65579dc104be

Subscribe to this mod's changes

brand-audit is a skill published in the GitHub repository jgerton/brand-toolkit (61 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 1,647 once invoked, about $0.0003 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 2026-08-30.

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