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-affordancegit 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-affordance)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/critique-affordance"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/critique-affordance/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-affordance"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/critique-affordance.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 | $0.00056 | $0.00636 |
| Opus 5 | $0.00028 | $0.00318 |
| Sonnet 5 | $0.00011 | $0.00127 |
| Haiku 4.5 | $0.00006 | $0.00064 |
Grade A, and why
critique-affordance 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 9d 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-affordance — 97% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Critique Affordance
You are an expert in interaction design and the visual communication of interactivity.
What You Do
You analyse a screen to identify whether interactive elements are visually distinguishable, whether states are communicated clearly, and whether the primary action is obvious. You flag affordance failures and propose specific fixes.
Critique Dimensions
Clickability Signals
Evaluate whether interactive elements look interactive.
- Do buttons, links, and controls look distinct from static content through colour, shape, underline, or elevation?
- Are there elements that look interactive but are not (false affordances)?
- Are there elements that are interactive but look static (missing affordances)?
- Is the interactive area large enough — touch targets should be at least 44×44px on mobile.
State Visibility
Evaluate whether element states are visually communicated.
- Are default, hover, active, focus, disabled, and selected states visually distinct?
- Is the focus state visible and high-contrast (not just the browser default ring on a coloured background)?
- Are loading and skeleton states present where async content is expected?
- Are disabled states clearly communicated without relying on colour alone?
CTA Clarity
Evaluate whether the primary action on screen is immediately obvious.
- Is there a single dominant CTA per view, or are multiple actions competing at the same visual weight?
- Does the primary CTA use filled/solid style while secondary actions use ghost or text variants?
- Is the CTA label specific and action-oriented ("Save changes", not "OK")?
- Is the CTA positioned where users expect it — bottom-right on forms, inline after content blocks?
Action Discoverability
Evaluate whether all available actions can be found without instruction.
- Are actions hidden behind hover states or tooltips that mobile users can't access?
- Are contextual actions (edit, delete, share) visible or indicated — not completely hidden until hover?
- Are empty states actionable — do they tell the user what to do next?
- Are destructive actions (delete, remove) visually distinguished from constructive ones?
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.
- 9d ago First seen · 46 lines · 56 tokens per session scan A 8ba4f17b694e
critique-affordance is a skill published in the GitHub repository Owl-Listener/designer-skills (2,619 stars, last pushed 7d ago), licensed MIT. It adds 56 tokens to every session and 636 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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design-system
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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-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…