finesse-ui

finesse-ui is a cursor rule for Cursor from mouse-lin/finesse-skill. It costs 0 tokens per session (18,961 once invoked), scanned A, original, MIT.

A set of design rules for building polished websites and product interfaces. It distinguishes brand pages, where visual identity leads, from product interfaces such as dashboards, where clarity and usability lead.

In plain words
What is it for?
It is for designing landing pages, brand sites, portfolios, dashboards, admin panels, analytics screens, tables, settings pages, and app shells.
Why use it?
It gives an agent concrete standards for avoiding generic-looking interfaces and choosing a suitable visual approach for the kind of page being built.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/mouse-lin/finesse-skill/finesse-ui
Clone the repo
git clone --depth 1 https://github.com/mouse-lin/finesse-skill

Made for: Cursor.

Wrote 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.

agentmods badge for finesse-ui

README.md
[![agentmods](https://agentmods.dev/badge/rules/mouse-lin/finesse-skill/finesse-ui.svg)](https://agentmods.dev/rules/mouse-lin/finesse-skill/finesse-ui)
Your own site
<a href="https://agentmods.dev/rules/mouse-lin/finesse-skill/finesse-ui"><img src="https://agentmods.dev/badge/rules/mouse-lin/finesse-skill/finesse-ui.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 18,961 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.18961
Opus 5 $0.00000 $0.09481
Sonnet 5 $0.00000 $0.03792
Haiku 4.5 $0.00000 $0.01896

Measured 4d ago against content hash 94d0d1a43eec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

finesse-ui 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 4d 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.

.cursor/rules/finesse-ui.mdc · 541 lines

How it starts

The opening of the file, as written. The whole thing — 541 lines — stays where its author put it; the contents beside it link to each section on GitHub.

finesse — Technically Spectacular · Soul-Distinct · Never Cheap

finesse builds two kinds of interface and routes by register (§0):

  • brand — design IS the product: landing pages, brand sites, launches, portfolios, hero pages. Optimize for spectacle + soul + first impression — a real visual engine, an opinionated personality.
  • product — design SERVES the product: dashboards, admin panels, analytics, data tables, app shells, settings. Optimize for clarity + density + usability — and still never cheap.

The through-line is identical: high craft, zero AI-slop. What applies to both is the universal craft floor (tinted neutrals, no #fff/#000, translucent/hairline borders, tinted shadows, contrast floors), the cheapness blacklist (§6), and the pre-flight (§8). What forks is the substrate above that floor and the middle: brand lays the §3 brand substrate (design-dna.md — grain, vignette, display type) and reaches for a hero engine (§4); product lays its own substrate (product-ui.md §0 — surfaces, cards, KPI tiles, density) and reaches for a component system + data viz. A dashboard is a different design language, not a brand page with charts — it does not inherit grain / vignette / giant hero type / dark-default / a hero engine.

Two more registers sit alongside them, and they work differently from each other. commerce (PDP/PLP/cart/checkout) is a hybrid — route it to brand or product by what the specific page is doing. h5 (phone-only screens: app UI, 活动页, mobile PDP, report H5) is a container: it fixes the frame, the safe areas, the thumb hierarchy, and the OS furniture, then wraps one of the other three for the content grammar underneath. A mobile PDP is h5 + commerce; an app dashboard screen is h5 + product. h5 never replaces a content register — it wraps one.

Every rule below is contextual. Nothing fires automatically. Read the brief, set the register, then pull only what fits. A skill that produces the same page for every brief has failed.


Read the full file on GitHub · 541 lines

Changes

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.

  1. 4d ago First seen · 541 lines · 0 tokens per session scan A 94d0d1a43eec

Subscribe to this mod's changes

finesse-ui is a cursor rule published in the GitHub repository mouse-lin/finesse-skill (532 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 18,961 tokens. 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 2026-08-30.