Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tan-yong-sheng/ai-vision-mcp --skill design-system-maturity-governancegit clone --depth 1 https://github.com/tan-yong-sheng/ai-vision-mcpWrote 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/skills/tan-yong-sheng/ai-vision-mcp/design-system-maturity-governance)<a href="https://agentmods.dev/skills/tan-yong-sheng/ai-vision-mcp/design-system-maturity-governance"><img src="https://agentmods.dev/badge/skills/tan-yong-sheng/ai-vision-mcp/design-system-maturity-governance/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/skills/tan-yong-sheng/ai-vision-mcp/design-system-maturity-governance"><img src="https://agentmods.dev/badge/skills/tan-yong-sheng/ai-vision-mcp/design-system-maturity-governance.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 | $0.03713 |
| Opus 5 | $0.00014 | $0.01857 |
| Sonnet 5 | $0.00006 | $0.00743 |
| Haiku 4.5 | $0.00003 | $0.00371 |
Grade A, and why
design-system-governance 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 — 574 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design System Governance
Deep guidance for assessing design system maturity, adoption health, and governance effectiveness.
When to Use
Use this skill when:
- Evaluating design system adoption and governance health
- Assessing design system maturity level (1-4 scale)
- Analyzing component duplication and consolidation opportunities
- Calculating custom vs system component ratios
- Identifying adoption barriers and governance gaps
- Tracking design debt trends and metrics
- Making strategic governance recommendations
Design System Maturity Model
Level 1: Ad-hoc (No System)
Characteristics:
- No formal design system exists
- 100% custom components created per project
- No governance process or standards
- High maintenance burden and inconsistency
- Designers/developers work independently
Metrics:
- Design system adoption: 0%
- Component reuse rate: <10%
- Unique component count: Very high (100+)
- Custom component ratio: 100%
- Documentation coverage: <20%
Transition To Level 2:
- Define core design principles
- Create baseline component library
- Document existing patterns
- Establish governance committee
- Communicate vision to teams
Level 2: Inconsistent (Emerging System)
Characteristics:
- Design system exists but adoption is spotty (30-60%)
- Mix of system components and custom variations
- Informal governance process
- Growing maintenance burden
- Teams aware of system but don't consistently use it
Metrics:
- Design system adoption: 30-60%
- Component reuse rate: 20-40%
- Unique component count: High (50-80)
- Custom component ratio: 50-70%
- Documentation coverage: 40-60%
Adoption Barriers (Typical):
- System doesn't cover all use cases
- Inconvenient process for requesting new components
- Lack of clear governance process
- Poor documentation or discoverability
- Team doesn't see value in consistency
Transition To Level 3:
- Expand component coverage (close gaps)
- Establish component request process
- Create clear governance guidelines
- Improve documentation and discoverability
- Enforce token usage in CI/CD
- Provide team training and support
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 574 lines · 28 tokens per session scan A a7c6e6e53f59
design-system-governance is a skill 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 3,713 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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