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 JakubMikolajek/codex-skills-collection --skill ui-design-qualitygit clone --depth 1 https://github.com/JakubMikolajek/codex-skills-collectionWrote 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/jakubmikolajek/codex-skills-collection/ui-design-quality)<a href="https://agentmods.dev/skills/jakubmikolajek/codex-skills-collection/ui-design-quality"><img src="https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/ui-design-quality/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/jakubmikolajek/codex-skills-collection/ui-design-quality"><img src="https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/ui-design-quality.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 | $0.00046 | $0.06153 |
| Opus 5 | $0.00023 | $0.03076 |
| Sonnet 5 | $0.00009 | $0.01231 |
| Haiku 4.5 | $0.00005 | $0.00615 |
Grade A, and why
ui-design-quality 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.
How it starts
The opening of the file, as written. The whole thing — 527 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Taste
This skill enforces intentional, high-quality visual design decisions across frontend implementations. It provides concrete rules for typography, color, spacing, motion, and micro-interactions — preventing generic "AI slop" output and ensuring every visual choice is deliberate and refined.
When to Use
- Building new UI components that require visual design decisions (color, typography, spacing, animation)
- Implementing animations, transitions, or micro-interactions for any frontend component
- Creating or extending a design system, design tokens, or visual foundations
- Polishing existing UI for production — improving visual quality, consistency, and feel
- Reviewing UI code for design quality issues
When NOT to Use
- Pure backend, API, or infrastructure work — use the appropriate domain skill
- Pixel-perfect matching against an existing, complete design spec — use
ui-verificationinstead - Performance-only optimization with no visual changes — use
performance-profiling
Design Parameters
Three tunable parameters allow calibrating the visual direction. Set at the start of a task or use defaults.
Design Parameters (defaults: VARIANCE=5, MOTION=6, DENSITY=4):
- DESIGN_VARIANCE (1–10): 1 = Strict symmetry, grid-locked → 10 = Asymmetric, editorial, experimental
- MOTION_INTENSITY (1–10): 1 = Static, minimal transitions → 10 = Rich physics, spring animations, gestures
- VISUAL_DENSITY (1–10): 1 = Airy, generous whitespace → 10 = Dense, data-rich, information-packed
How parameters affect decisions:
| Parameter | Low (1–3) | Mid (4–7) | High (8–10) |
|---|---|---|---|
| VARIANCE | Centered layouts, uniform grid, symmetric | Subtle asymmetry, varied section rhythms | Bold asymmetry, editorial layouts, experimental composition |
| MOTION | CSS transitions only, minimal stagger | Custom easing, enter/exit animations, stagger | Spring physics, gestures, layout animations, parallax |
| DENSITY | Art gallery feel, generous padding, large whitespace | Balanced content-to-space ratio | Dashboard-like, compact cards, dense data presentation |
What ships with it
1 file 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.
- 9d ago First seen · 527 lines · 46 tokens per session scan A 23ca128e240f
ui-design-quality is a skill published in the GitHub repository JakubMikolajek/codex-skills-collection (5 stars, last pushed 7d ago), licensed MIT. It adds 46 tokens to every session and 6,153 once invoked, about $0.0002 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.
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