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 agentmods add skills/nicepkg/ai-workflow/ui-ux-auditnpx skills add nicepkg/ai-workflow --skill ui-ux-auditgit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/ui-ux-audit)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/ui-ux-audit"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/ui-ux-audit.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.03016 |
| Opus 5 | $0.00032 | $0.01508 |
| Sonnet 5 | $0.00013 | $0.00603 |
| Haiku 4.5 | $0.00006 | $0.00302 |
Grade A, and why
ui-ux-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 yesterday.
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 — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI/UX Audit Skill
🚨 CRITICAL: This Skill Runs BEFORE Implementation
Purpose: Prevent redundant implementations and cluttered designs by auditing current state FIRST.
When to invoke: Automatically when user mentions:
- UI/UX work: "improve UI", "enhance UX", "better design", "update layout"
- Page work: "fix homepage", "improve page", "update interface", "redesign"
- Visual changes: "add visual elements", "enhance visuals", "improve appearance"
- Component work: "add component", "new feature", "improve section"
- General improvements: "make it better", "improve experience", "enhance site"
Order of execution:
- ✅ This skill runs FIRST (audit phase)
- Then present findings to user
- Then optionally invoke ui-ux-designer agent (design critique)
- Then implement approved changes
Mandatory Audit Process (READ FIRST, IMPLEMENT SECOND)
Step 1: Read Current State (Non-Negotiable)
Before making ANY recommendations, read these files:
# Target page file
Read: src/app/[target-page]/page.tsx
# Related components (if modifying existing sections)
Read: src/components/sections/[component].tsx
# Related data files
Read: src/data/[related-data].tsx
Read: src/data/page-content/[page]-content.ts
# Check for existing similar functionality
Grep: Search for keywords related to proposed feature
Example:
User: "Improve homepage"
MUST READ FIRST:
- src/app/page.tsx
- src/components/sections/Hero.tsx
- src/data/page-content/home-content.ts
THEN analyze what EXISTS before proposing anything
What ships with it
6 files 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.
- yesterday First seen · 435 lines · 63 tokens per session scan A f4ee0568d97c
ui-ux-audit is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 63 tokens to every session and 3,016 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
design-taste-frontend
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
image-to-code
Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards…
brandkit
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional…
redesign-existing-projects
Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.
minimalist-ui
Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.
immunology-assays
Computational analysis of immunology experimental data. ATAC-seq differential accessibility, immune cell tracking from microscopy, ELISA data processing with 4-parameter logistic fitting, immunohistochemistry quantification, antibody titer analysis, and cell cycle phase duration estimation. For flow cytometry use…