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Design Auditor

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borghei
design-auditor

Audit UI/UX designs for quality, AI-generated slop, and accessibility. Use when reviewing designs, detecting slop patterns, validating WCAG compliance, checking design-token adherence, or reviewing responsive design across breakpoints.

Overview

Publisherborghei
RepositoryClaude-Skills
Skill namedesign-auditor
Stars
856
Forks
154
Bundled files
10
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by borghei on GitHub. Read the source before you install it.

Installation

Install the Design Auditor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/borghei/Claude-Skills/tree/main/engineering/design-auditor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/borghei/Claude-Skills.git /tmp/Claude-Skills
mkdir -p .claude/skills
cp -r /tmp/Claude-Skills/engineering/design-auditor .claude/skills/design-auditor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Auditor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Design Auditor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Design Auditor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Design Auditor

Performs systematic 12-category UI/UX audits, detects AI-generated slop patterns, validates WCAG color contrast, and checks design system token compliance. Produces three independent grades: Design (A-F), AI Slop (A-F), and Accessibility (A-F).

Core Capabilities

  • Full design audit — score 12 weighted categories in five passes into a Design grade with prioritized recommendations and baseline comparison.
  • AI slop detection — flag visual, copy, and structural slop in HTML/CSS with confidence scores and per-finding remediation.
  • Accessibility audit — WCAG color-contrast checking (AA/AAA) with closest-compliant-color suggestions.
  • Design-system compliance — detect hardcoded colors, spacing, fonts, radii, shadows, z-indices, and transitions that deviate from tokens; report compliance percentage.
  • Three independent grades — Design (weighted aggregate), AI Slop (inverted), Accessibility (WCAG), each A–F.
  • Operating system — 10 design principles, fix-session rules with a risk accumulator, and CI/CD gating.

When to Use

  • Reviewing a UI/UX design for quality, originality, and accessibility.
  • Detecting AI-generated slop patterns in HTML/CSS.
  • Validating WCAG color contrast or design-token adherence.
  • Gating deployments or PRs on minimum compliance scores.

Clarify First

Before running the audit, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Audit type — full design score, AI-slop detection, contrast check, or token compliance (selects design_scorer.py vs ai_slop_detector.py vs color_contrast_checker.py vs design_system_validator.py)
  • Input artifacts — the findings JSON, HTML/CSS, color pairs, or design-token file (the input each tool requires)
  • Conformance level / threshold — WCAG AA vs AAA, slop confidence threshold, and the minimum passing grade (sets --level, --threshold, and the gate)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Tools

ToolPurposeCommand
design_scorer.pyScore 12-category audit findings into three gradespython scripts/design_scorer.py --input findings.json --output report.json --verbose
ai_slop_detector.pyDetect AI-generated slop in HTML/CSSpython scripts/ai_slop_detector.py --input page.html --css styles.css --threshold 0.6
color_contrast_checker.pyCheck WCAG color contrast (single/batch)python scripts/color_contrast_checker.py --input color-pairs.json --level AA --suggest-fixes
design_system_validator.pyValidate CSS against design tokenspython scripts/design_system_validator.py --tokens tokens.json --input src/styles/

All tools support --format json|text and --output for file writing.

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

  • references/audit-workflows-and-operations.md — quick-start commands, tools-overview table, the three workflows (full audit, slop detection, accessibility/token compliance), grade tables, the 10 design principles, fix-session rules, CI/CD integration, anti-patterns, and troubleshooting. Read when running an audit end to end.
  • references/design_audit_methodology.md — systematic audit approach, heuristic evaluation, Gestalt principles, critique frameworks, and anti-patterns. Read when designing the evaluation pass.
  • references/ai_slop_patterns.md — comprehensive catalog of AI-generated UI patterns and remediation guidance. Read when judging originality.
  • references/accessibility_checklist.md — full WCAG 2.1 Level A/AA/AAA checklist organized by POUR with testing methodology and fixes. Read when auditing accessibility.

Scope & Limitations

Covers static design quality, AI-slop, WCAG contrast, and design-token compliance auditing for web UI (HTML/CSS). Does not run live browsers, render-test layouts, or replace manual usability research. Accessibility findings are never "Low" priority; WCAG AA is the floor.

Integration Points

SkillIntegration
senior-frontendDesign audit on component library after build
senior-qaAccessibility and design regression in QA pipelines
code-reviewerAttach audit findings to frontend PR reviews
senior-devopsGate deployments on minimum compliance scores
product-team/ux-researcherFeed findings into usability research prioritization

Last Updated: June 2026 Version: 2.2.0

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Design Auditor AI skill do?

Audit UI/UX designs for quality, AI-generated slop, and accessibility. Use when reviewing designs, detecting slop patterns, validating WCAG compliance, checking design-token adherence, or reviewing responsive design across breakpoints.

Why use Design Auditor on TypingMind?

Because you install it once and use it with any model. Design Auditor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Design Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/borghei/Claude-Skills/tree/main/engineering/design-auditor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Design Auditor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Design Auditor?

As many as you like. As long as a model supports skills, you can use Design Auditor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Design Auditor AI skill free?

It is published on GitHub by borghei. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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