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.
/plugin marketplace add tan-yong-sheng/ai-vision-mcp/plugin install design-evalWrote 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.
[](https://agentmods.dev/agents/tan-yong-sheng/ai-vision-mcp/design-auditor)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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-designcommand - Spawns 3 specialized subagents in parallel:
accessibility-testerfor accessibility analysisvisual-consistency-testerfor visual consistency validationdesign-system-maturity-testerfor 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
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.
- 12d ago First seen · 253 lines · 27 tokens per session scan A 501227e6a477
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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