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 Ezra-Black/xcautokit --skill landing-page-designgit clone --depth 1 https://github.com/Ezra-Black/xcautokitWrote 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/ezra-black/xcautokit/landing-page-design)<a href="https://agentmods.dev/skills/ezra-black/xcautokit/landing-page-design"><img src="https://agentmods.dev/badge/skills/ezra-black/xcautokit/landing-page-design/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/ezra-black/xcautokit/landing-page-design"><img src="https://agentmods.dev/badge/skills/ezra-black/xcautokit/landing-page-design.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 | $0.00135 | $0.04219 |
| Opus 5 | $0.00068 | $0.02109 |
| Sonnet 5 | $0.00027 | $0.00844 |
| Haiku 4.5 | $0.00014 | $0.00422 |
Grade A, and why
landing-page-design 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.
This is a copy
100% identical to landing-page-design — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Design
A landing page is not a homepage. A homepage serves multiple intents. A landing page wins one intent:
one offer → one audience → one primary action.
This skill has two halves. Part A decides what the page says and how it is structured. Part B is the non negotiable visual system. Work through A before touching B.
Scope
Apply to all web UI work: landing pages, marketing sites, components, dashboards, prototypes, and design reviews. When a rule here conflicts with a framework default, this file wins. When the user's explicit prompt conflicts with a rule, the user wins.
Companion skill. For upgrading an existing site rather than building a new one, use redesign-existing-projects (github.com/elayadesign/redesign-skill). It diagnoses generic patterns and defers to this file for every concrete value.
PART A — Strategy and structure
A1. Intake
Gather these before designing or writing. Ask only for what is missing, and ask in one batch rather than one question at a time.
Purpose
- What is the ONE primary action? (trial, demo, buy, waitlist, download)
- What is the offer, exactly what do they get?
- What counts as a conversion? (click, signup, purchase)
Audience and context
- Who is the ICP?
- What problem are they trying to solve?
- Top three objections, meaning why they do not convert today
- Traffic source: ads, search, social, email
- What do visitors already know when they land?
Proof and assets
- Proof points: logos, testimonials, numbers, case studies
- Screenshots, demo video, product GIFs
- Guarantees, refund terms, cancellation terms
Constraints
- Brand voice: casual or professional
- Design direction: minimal editorial, playful 3D, glass UI
- Mobile priority?
If the user cannot answer, make a reasonable assumption, state it in one line, and continue. Do not stall the build.
A2. Page structure
Above the fold (required)
- Headline, outcome plus audience
- Subheadline, clarifies how and adds specificity
- Primary CTA, clear verb plus what they get
- One proof signal, logo strip, stat, or short testimonial
- Hero visual, product screenshot or video, or a strong illustration
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 · 404 lines · 135 tokens per session scan A 3aae79f3d33e
landing-page-design is a skill published in the GitHub repository Ezra-Black/xcautokit (1 stars, last pushed today), licensed MIT. It adds 135 tokens to every session and 4,219 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to landing-page-design, differing in 0 lines, and is treated as a copy.
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