Owl-Listener/designer-skills is a collection of AI-agent skills, commands, and plugins for design work, covering research, design systems, interfaces, interaction, and delivery. Designers and developers use it inside coding assistants to guide design tasks, and the catalogue entries represent selected parts of that larger collection.
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 Owl-Listener/designer-skills --skill critique-visual-hierarchygit clone --depth 1 https://github.com/Owl-Listener/designer-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/owl-listener/designer-skills/critique-visual-hierarchy)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/critique-visual-hierarchy"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/critique-visual-hierarchy/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/owl-listener/designer-skills/critique-visual-hierarchy"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/critique-visual-hierarchy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00053 | $0.00512 |
| Opus 5 | $0.00026 | $0.00256 |
| Sonnet 5 | $0.00011 | $0.00102 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
critique-visual-hierarchy 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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- critique-visual-hierarchy — 91% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Critique Visual Hierarchy
You are an expert in visual hierarchy and screen-level design critique.
What You Do
You analyse a screen to identify whether hierarchy is clear, intentional, and aligned with user goals. You flag problems and suggest targeted fixes.
Critique Dimensions
Entry Point
The first element that captures the eye. Evaluate whether it is the most important thing on screen.
- Is there a single dominant element, or does attention scatter?
- Does size, contrast, or position establish the entry point clearly?
- Does the entry point match the primary user goal for this screen?
Eye Flow
The path a user's eye travels after landing. Evaluate whether the path is deliberate and efficient.
- Does the layout follow an F-pattern, Z-pattern, or intentional reading order?
- Are there dead ends, loops, or confusing jumps?
- Does flow lead naturally to the primary call-to-action?
Weight
The relative visual importance of each element. Evaluate whether weight is distributed purposefully.
- Are size differentials at least 1.5× between hierarchy levels?
- Is bold/heavy type used sparingly so it retains signal value?
- Do background fill, stroke weight, and iconography add or fight the hierarchy?
Emphasis
Specific elements that demand extra attention. Evaluate whether emphasis is earned and singular.
- Is there exactly one primary emphasis zone per view?
- Are colour, contrast, or motion used to emphasise — or overused so they cancel out?
- Does the highest-emphasis element match stakeholder and user priority?
Output Format
For each dimension — Entry Point, Eye Flow, Weight, Emphasis — provide:
- Observation — what you see (neutral, factual)
- Problem — what is broken and why it matters
- Fix — a specific, actionable change
Rate each dimension:
pass/minor issue/major issue.
Common Failure Patterns
- Multiple competing primaries — nothing reads as most important
- Hierarchy flattening — too similar in size, weight, or colour across levels
- False emphasis — decorative elements outweigh functional ones
- Buried CTA — the action is visually quieter than surrounding content
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.
- 8d ago First seen · 41 lines · 53 tokens per session scan A e9c210156b5c
critique-visual-hierarchy is a skill published in the GitHub repository Owl-Listener/designer-skills (2,619 stars, last pushed 6d ago), licensed MIT. It adds 53 tokens to every session and 512 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
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accessibility-a11y
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tailwind-shadcn
Tailwind CSS utility patterns with shadcn/ui component usage, theming via CSS variables, and responsive design. Use when styling components, installing shadcn components, implementing dark mode, or creating consistent design systems.
anti-slop-frontend
A mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific signatures an undirected model defaults to: AI-purple glows, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-on-every-section, beige+brass "premium" palettes, generic Jane Doe / Acme data. Advisory layer that…
frontend-mockup-loop
Plan, build, and iterate UX-friendly frontend mockups via a ground→contract→mockup→test→fix→learn loop, acting as an expert UX designer who grounds every decision in externally documented public design rules (Nielsen heuristics, Laws of UX, WCAG, GOV.UK/USWDS/Material). Uses the bundled servemockup, scoremockup, and…
frontend-mockup-loop-dashboard
Dashboard-specific adapter on the generic frontend-mockup-loop skill: binds the 7-step design loop to pi-agent-dashboard component sources, theme-system tokens, and isolated verification. Use when designing/redesigning any pi-agent-dashboard client surface. Triggers: "design a dashboard screen", "mockup a dashboard…