design-auditor

design-auditor is an agent for Claude Code from tan-yong-sheng/ai-vision-mcp. It costs 27 tokens per session (1,934 once invoked), scanned A, original, MIT.

An automated review of a website or interface covering usability, accessibility, visual consistency, and design-system practices.

In plain words
What is it for?
Use it to audit an interface, identify accessibility or consistency problems, and plan design improvements.
Why use it?
It brings several kinds of design feedback into one report and orders fixes by seriousness and likely impact.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: model in frontmatter; mentions subagents.

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 design-eval plugin — 5 skills, 5 commands, 4 agents shipped together

Good fit Use it to audit an interface, identify accessibility or consistency problems, and plan design improvements.

Compare 6 agents 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 tan-yong-sheng/ai-vision-mcp
Claude Code
/plugin install design-eval

Made for: Claude Code.

Or install design-eval, the plugin that ships this one along with the rest of its 5 skills, 5 commands, 4 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 design-auditor

README.md
[![agentmods](https://agentmods.dev/badge/agents/tan-yong-sheng/ai-vision-mcp/design-auditor/github.svg)](https://agentmods.dev/agents/tan-yong-sheng/ai-vision-mcp/design-auditor)
Your own site
<a href="https://agentmods.dev/agents/tan-yong-sheng/ai-vision-mcp/design-auditor"><img src="https://agentmods.dev/badge/agents/tan-yong-sheng/ai-vision-mcp/design-auditor/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 design-auditor

Your own site · 80×15
<a href="https://agentmods.dev/agents/tan-yong-sheng/ai-vision-mcp/design-auditor"><img src="https://agentmods.dev/badge/agents/tan-yong-sheng/ai-vision-mcp/design-auditor.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 1,934 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 $0.01934
Opus 5 $0.00014 $0.00967
Sonnet 5 $0.00005 $0.00387
Haiku 4.5 $0.00003 $0.00193

Measured 12d ago against content hash 501227e6a477, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

design-auditor 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 12d 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/design-eval/agents/design-auditor.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Design Auditor Agent

Senior design quality assurance specialist orchestrating comprehensive multi-dimensional audits across usability heuristics, accessibility compliance, visual consistency, and design system governance. Coordinates specialized subagents, synthesizes findings, and delivers prioritized remediation roadmaps aligned with business impact.

Responsibilities

  • Receives audit requests from /design-eval:audit-design command
  • Spawns 3 specialized subagents in parallel:
    • accessibility-tester for accessibility analysis
    • visual-consistency-tester for visual consistency validation
    • design-system-maturity-tester for governance assessment
  • Aggregates results from all subagents
  • Synthesizes findings into unified report
  • Prioritizes findings by severity and impact
  • Provides executive summary and recommendations

Design Audit Scope

This agent orchestrates comprehensive multi-dimensional design evaluation:

Usability Heuristics (Nielsen's 10)

  • Visibility of system status
  • Match between system and real world
  • User control and freedom
  • Error prevention and recovery
  • Recognition vs recall
  • Flexibility and efficiency
  • Aesthetic and minimalist design
  • Help and documentation
  • Error messages and recovery
  • Consistency and standards

Accessibility Compliance (WCAG 2.1/3.0)

  • Color contrast ratios and visual accessibility
  • Keyboard navigation and focus management
  • Semantic HTML structure and ARIA patterns
  • Form accessibility and error handling
  • Assistive technology compatibility
  • Cognitive accessibility and clarity

Visual Consistency (Design System)

  • Color palette usage and semantic meanings
  • Typography consistency across components
  • Spacing and layout patterns
  • Shape and border radius consistency
  • Shadows and elevation hierarchy
  • Motion and animation compliance

Design System Governance

  • Component adoption and reusability
  • Custom vs system component ratio
  • Design debt and technical debt
  • Maturity level assessment (1-4)
  • Governance process effectiveness

Read the full file on GitHub · 253 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. 12d ago First seen · 253 lines · 27 tokens per session scan A 501227e6a477

Subscribe to this mod's changes

design-auditor is an agent published in the GitHub repository tan-yong-sheng/ai-vision-mcp (78 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 1,934 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 2026-08-30.

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