velar-luxury-real-estate

velar-luxury-real-estate is a skill for Claude Code, Codex from nexu-io/open-design. It costs 119 tokens per session (3,160 once invoked), scanned A, original, Apache-2.0.

A ready-made HTML landing-page design for luxury real-estate and architecture projects, with cinematic scrolling, animated statistics, and a video gallery.

In plain words
What is it for?
Use it to build a single-page property showcase with a typewriter loading screen, an expanding house image, count-up figures, and hover-based gallery interactions.
Why use it?
It removes the need to design and choreograph a high-end property page from scratch while preserving a tested visual style.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build a single-page property showcase with a typewriter loading screen, an expanding house image, count-up figures, and hover-based gallery interactions.

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Install with agentmods
npx agentmods add skills/nexu-io/open-design/velar-luxury-real-estate
About the project

OpenDesign is an open-source, local-first desktop app that lets coding agents create prototypes, dashboards, slide decks, images, video, and design systems as exportable files. It is used by people working with agent runtimes such as Claude Code, Codex, Cursor, and DeepSeek Harness. The catalogue add-ons extend the OpenDesign workflow with skills, instructions, commands, and plugins.

nexu-io/open-design · 95,624 stars · on GitHub · open-design.ai

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.

Any agent
npx skills add nexu-io/open-design --skill velar-luxury-real-estate
Clone the repo
git clone --depth 1 https://github.com/nexu-io/open-design

Made for: Claude Code, Codex.

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 velar-luxury-real-estate

README.md
[![agentmods](https://agentmods.dev/badge/skills/nexu-io/open-design/velar-luxury-real-estate/github.svg)](https://agentmods.dev/skills/nexu-io/open-design/velar-luxury-real-estate)
Your own site
<a href="https://agentmods.dev/skills/nexu-io/open-design/velar-luxury-real-estate"><img src="https://agentmods.dev/badge/skills/nexu-io/open-design/velar-luxury-real-estate/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.

agentmods 80×15 button for velar-luxury-real-estate

Your own site · 80×15
<a href="https://agentmods.dev/skills/nexu-io/open-design/velar-luxury-real-estate"><img src="https://agentmods.dev/badge/skills/nexu-io/open-design/velar-luxury-real-estate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,160 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00119 $0.03160
Opus 5 $0.00060 $0.01580
Sonnet 5 $0.00024 $0.00632
Haiku 4.5 $0.00012 $0.00316

Measured 8d ago against content hash 3c778e343159, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

velar-luxury-real-estate 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 8d 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.

plugins/_official/examples/velar-luxury-real-estate/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Velar. — Luxury Real Estate Landing Page

Produce a single-page, cinematic luxury real-estate landing page. A complete, rendered reference implementation ships beside this skill at example.htmlstart from it. Copy example.html, then adjust copy and data; do not rewrite the choreography or invent a new visual language. The seed already encodes the exact tokens, preloader typewriter, scroll-driven house animation, sticky dark stats band, count-up, and hover-expand gallery described below.

This is the authoritative build brief. Follow it exactly — the named colors, fonts, timings, image URLs, and the scroll-math are locked.

Inlined image (critical): example.html ships the building/house silhouette (HOUSE_IMG, originally res.cloudinary.com/.../building_bzziky.png) as an inlined data:image/webp;base64,… URI — keep it exactly as-is. The 5 cloudfront gallery .mp4 videos and the BG_IMG higgs.ai hero background stay as remote URLs (large stable CDNs); the cloudinary host is the one to inline because it is the load-bearing, repeatedly-scaled centerpiece asset.

Stack

  • Default output: a single self-contained HTML file (the example.html seed) using vanilla CSS + JS. It already includes everything inline.
  • If the user explicitly asks for the React project: port the seed faithfully to React 18 + TypeScript + Vite + Tailwind CSS with only lucide-react for icons (the hamburger→X). All animation logic lives in a single src/App.tsx using useState, useEffect, useRef, useCallback, and IntersectionObserver. No other libraries. Do not change the design while porting.

Global setup — locked

  • Page background #f5f0ea (warm off-white). Body wrapper overflow-x: clip.
  • Fonts via @import in an inline <style>: Syne (400, 700, 800, 900) + Inter (300, 400, 500, 600) from Google Fonts.
  • Constants: GRASS_GREEN = '#213138' (preloader bg + default logo color), FULL_TEXT = 'Velar.', HOUSE_IMG (inlined data URI in the seed), BG_IMG (higgs.ai hero bg), and the 5 cloudfront gallery videos (in order — keep them).

Read the full file on GitHub · 100 lines

Files

What ships with it

2 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.

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. 8d ago First seen · 100 lines · 119 tokens per session scan A 3c778e343159

Subscribe to this mod's changes

velar-luxury-real-estate is a skill published in the GitHub repository nexu-io/open-design (95,624 stars, last pushed today), licensed Apache-2.0. It adds 119 tokens to every session and 3,160 once invoked, about $0.0006 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.