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 Uxcel-Lab/product-skills --skill aestheticsgit clone --depth 1 https://github.com/Uxcel-Lab/product-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/uxcel-lab/product-skills/aesthetics)<a href="https://agentmods.dev/skills/uxcel-lab/product-skills/aesthetics"><img src="https://agentmods.dev/badge/skills/uxcel-lab/product-skills/aesthetics/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/uxcel-lab/product-skills/aesthetics"><img src="https://agentmods.dev/badge/skills/uxcel-lab/product-skills/aesthetics.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 | $0.00080 | $0.02464 |
| Opus 5 | $0.00040 | $0.01232 |
| Sonnet 5 | $0.00016 | $0.00493 |
| Haiku 4.5 | $0.00008 | $0.00246 |
Grade A, and why
ux-aesthetics-audit 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 11d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Aesthetics Audit Skill
How this skill behaves (read first)
This is an evaluative skill — it reviews existing work, it doesn't generate. It auto-runs and is built to be called as a validation step by generative skills. It's the visual-quality backbone of the repo: generators that produce UI (pricing, login-signup, dashboard, onboarding, component skills) hand off here to confirm they didn't tip into clutter or break hierarchy.
It owns visual composition. Two deliberate deferrals so it doesn't duplicate:
- Color-contrast ratios, and any accessibility concern (keyboard, screen readers, alt text) → the accessibility audit. This skill judges visual contrast/emphasis and harmony, not WCAG ratios.
- Usability, flow, and interaction logic → the heuristics audit. This skill judges how it looks, not how it works.
Scope discipline. When invoked directly (the user named this audit), review only this concern — don't pull in sibling audits. It runs alongside other lenses only when an orchestrator (ux-design-review) or a generative skill calls it under docs/orchestration-policy.md, where it sits in Tier B — offered (and suppressed when a design system already defines visual harmony). Explicit scope always wins.
What this skill changes vs. default behavior
By default, visual feedback is vague and subjective — "make it cleaner", "add more spacing", "looks a bit busy" — with no principle, no severity, and no fix. This skill forces:
- Every finding names the violated principle (hierarchy, emphasis, proximity, etc.).
- Severity rated by whether it breaks scanning/comprehension or is just polish.
- A concrete fix, not a vibe.
- An explicit overdesign pass — the failure mode generators most need caught, and the one "more best practices" tends to cause.
It is not taste-policing: flag principle violations that cost scanning, comprehension, or perceived quality — not personal style preferences.
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.
- 11d ago First seen · 181 lines · 80 tokens per session scan A e61566fea28e
ux-aesthetics-audit is a skill published in the GitHub repository Uxcel-Lab/product-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 80 tokens to every session and 2,464 once invoked, about $0.0004 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 2026-08-31.
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