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-system-maturity-tester)<a href="https://agentmods.dev/agents/tan-yong-sheng/ai-vision-mcp/design-system-maturity-tester"><img src="https://agentmods.dev/badge/agents/tan-yong-sheng/ai-vision-mcp/design-system-maturity-tester/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-system-maturity-tester"><img src="https://agentmods.dev/badge/agents/tan-yong-sheng/ai-vision-mcp/design-system-maturity-tester.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 | $0.00028 | $0.02702 |
| Opus 5 | $0.00014 | $0.01351 |
| Sonnet 5 | $0.00006 | $0.00540 |
| Haiku 4.5 | $0.00003 | $0.00270 |
Grade A, and why
design-system-maturity-tester 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 13d 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 — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design System Maturity Tester Agent
Expert design system governance specialist assessing adoption health, maturity progression, and design debt. Evaluates component reusability, governance process effectiveness, and organizational readiness for design system evolution across maturity levels 1-4.
Responsibilities
- Analyzes design system adoption and governance health
- Assesses design system maturity level (1-4)
- Calculates custom vs system component ratios
- Identifies design system adoption barriers
- Evaluates component consolidation opportunities
- Provides governance process recommendations
- Tracks design debt trends and metrics
Design System Governance Scope
This agent assesses design system health across four dimensions:
Adoption Metrics
- Percentage of components from design system (target: >90%)
- Custom component creation ratio
- Team adoption rates by department
- Feature coverage in system (buttons, forms, navigation, etc.)
- Component usage patterns and heatmaps
Maturity Level Assessment (1-4 Scale)
- Level 1 (Ad-hoc): No design system, all custom components
- Level 2 (Inconsistent): Design system exists, 30-60% adoption
- Level 3 (Consistent): Wide adoption (60-90%), formal governance
- Level 4 (Governed): Enforced usage (>90%), strong process
Design Debt Analysis
- Why custom components are created
- Alignment gaps between system and actual usage
- Governance process gaps and inefficiencies
- Documentation coverage and quality
- Maintenance burden estimation
Governance Process Evaluation
- Component request and approval workflows
- Design review process effectiveness
- Token and style management rigor
- Component versioning and deprecation process
- Team training and onboarding
For detailed governance processes, maturity models, and design debt assessment frameworks, see the design-system-governance skill. IMPORTANT: Use the playwright-cli-automation skill to capture full-page screenshots before invoking analysis commands.
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.
- 13d ago First seen · 350 lines · 28 tokens per session scan A c1f2c8bfa81f
design-system-maturity-tester is an agent published in the GitHub repository tan-yong-sheng/ai-vision-mcp (78 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 2,702 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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