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 matteotitta/genesys-skills --skill design-reviewergit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote 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/matteotitta/genesys-skills/design-reviewer)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/design-reviewer"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/design-reviewer/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/matteotitta/genesys-skills/design-reviewer"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/design-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00158 | $0.04795 |
| Opus 5 | $0.00079 | $0.02397 |
| Sonnet 5 | $0.00032 | $0.00959 |
| Haiku 4.5 | $0.00016 | $0.00479 |
Grade A, and why
design-reviewer 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 — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Reviewer
Review any visual deliverable for design quality across 5 dimensions, scored 0–4 each (Nielsen-style rubric, 20 points max). Produces a P0–P3 severity-tagged report with token-cited findings and prioritized remediation. Mirrors voice-reviewer's role for content — but for visual output.
This skill also hosts the shared design-quality library at the premium reference. Output skills (vibe-coding, dashboard, figma-prototype, website-build, website-wireframe, product-ui-frames) relative-link into these references for their internal design-cycle phases. Reference-only consumption does not require invoking this skill.
Claude Code Triggers
Invoke this skill when:
- "design check this"
- "is this AI-slop?"
- "audit this UI"
- "review the design"
- "design quality review"
- "ship-ready check"
Do NOT invoke when:
- User wants content voice review → use
/voice-reviewerinstead - User wants SKILL.md review → use
/skill-reviewerinstead - User wants to generate UI → use
/vibe-coding,/dashboard,/website-build, or/figma-prototype - User wants brand strategy work → use
/brand-kitinstead
Input Requirements
Required inputs
| Input | Description | Source |
|---|---|---|
| Output to review | The implemented UI (React/Tailwind code, screenshots, deployed URL, or Figma file) | User provides — file paths, URL, or screenshot |
Optional inputs (improve quality)
| Input | How it helps |
|---|---|
| Client name + brand-kit DESIGN.md | Activates token-compliance scoring against the client's actual tokens |
| Output type (landing page / dashboard / app / wireframe) | Adjusts dimension weighting (e.g., a wireframe doesn't need motion-craft scoring) |
| Source code context (if reviewing implemented UI) | Enables anti-pattern detection at the code level (gradient text bans, side-stripe checks, drop-shadow audits) |
Input validation
Before proceeding, verify:
- Output is a visual deliverable (not raw text content — that's voice-reviewer's job)
- If reviewing code: source files are accessible
- If reviewing a deployed page: URL is reachable
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 · 318 lines · 158 tokens per session scan A 9464d6f6def8
design-reviewer is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 158 tokens to every session and 4,795 once invoked, about $0.0008 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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