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 OneWave-AI/ClaudeCodeUnleashed --skill landing-page-optimizergit clone --depth 1 https://github.com/OneWave-AI/ClaudeCodeUnleashedWrote 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/onewave-ai/claudecodeunleashed/landing-page-optimizer)<a href="https://agentmods.dev/skills/onewave-ai/claudecodeunleashed/landing-page-optimizer"><img src="https://agentmods.dev/badge/skills/onewave-ai/claudecodeunleashed/landing-page-optimizer/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/onewave-ai/claudecodeunleashed/landing-page-optimizer"><img src="https://agentmods.dev/badge/skills/onewave-ai/claudecodeunleashed/landing-page-optimizer.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 | $0.00030 | $0.02345 |
| Opus 5 | $0.00015 | $0.01172 |
| Sonnet 5 | $0.00006 | $0.00469 |
| Haiku 4.5 | $0.00003 | $0.00234 |
Grade A, and why
landing-page-optimizer 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 9d 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 — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Optimizer
Instructions
When optimizing landing pages:
- Audit current page (speed, UX, conversion elements)
- Identify improvement areas
- Implement optimizations
- Set up tracking
Above the Fold Checklist
- Clear headline - Value proposition in <5 seconds
- Supporting subheadline - Expand on benefit
- Hero image/video - Relevant, high-quality
- Primary CTA - Contrasting color, action-oriented
- Social proof - Logos, ratings, testimonials
- No navigation distractions - Minimal or hidden nav
Page Structure Template
// Optimal landing page structure
<main>
{/* 1. Hero Section */}
<section className="min-h-[80vh] flex items-center">
<div className="max-w-6xl mx-auto px-4 grid lg:grid-cols-2 gap-12 items-center">
<div>
<Badge>New Feature</Badge>
<h1 className="text-4xl lg:text-6xl font-bold mt-4">
Main Value Proposition
</h1>
<p className="text-xl text-gray-600 mt-6">
Supporting statement that expands on the benefit
</p>
<div className="flex gap-4 mt-8">
<Button size="lg">Primary CTA</Button>
<Button size="lg" variant="outline">Secondary CTA</Button>
</div>
<div className="flex items-center gap-6 mt-8">
<div className="flex -space-x-2">
{avatars.map(a => <Avatar key={a.id} src={a.src} />)}
</div>
<p className="text-sm text-gray-600">
<strong>2,000+</strong> happy customers
</p>
</div>
</div>
<div>
<img src="/hero-image.png" alt="Product preview" />
</div>
</div>
</section>
{/* 2. Social Proof - Logos */}
<section className="py-12 bg-gray-50">
<p className="text-center text-gray-500 mb-8">Trusted by leading companies</p>
<div className="flex justify-center gap-12 opacity-60">
{logos.map(logo => <img key={logo.name} src={logo.src} alt={logo.name} />)}
</div>
</section>
{/* 3. Problem/Solution */}
<section className="py-20">
<div className="max-w-3xl mx-auto text-center">
<h2 className="text-3xl font-bold">The Problem</h2>
<p className="text-xl text-gray-600 mt-4">
Describe the pain point your audience faces
</p>
</div>
</section>
{/* 4. Features/Benefits */}
<section className="py-20 bg-gray-50">
<h2 className="text-3xl font-bold text-center">How It Works</h2>
<div className="grid md:grid-cols-3 gap-8 mt-12 max-w-6xl mx-auto">
{features.map(feature => (
<Card key={feature.title}>
<feature.icon className="w-12 h-12 text-primary-500" />
<h3 className="text-xl font-semibold mt-4">{feature.title}</h3>
<p className="text-gray-600 mt-2">{feature.description}</p>
</Card>
))}
</div>
</section>
{/* 5. Testimonials */}
<section className="py-20">
<h2 className="text-3xl font-bold text-center">What Customers Say</h2>
<div className="grid md:grid-cols-2 lg:grid-cols-3 gap-8 mt-12">
{testimonials.map(t => (
<TestimonialCard key={t.name} {...t} />
))}
</div>
</section>
{/* 6. Pricing (if applicable) */}
<section className="py-20 bg-gray-50">
<PricingTable plans={plans} />
</section>
{/* 7. FAQ */}
<section className="py-20">
<h2 className="text-3xl font-bold text-center">FAQ</h2>
<Accordion items={faqs} className="max-w-3xl mx-auto mt-12" />
</section>
{/* 8. Final CTA */}
<section className="py-20 bg-primary-600 text-white text-center">
<h2 className="text-3xl font-bold">Ready to Get Started?</h2>
<p className="text-xl opacity-90 mt-4">Join 2,000+ companies already using our product</p>
<Button size="lg" variant="secondary" className="mt-8">
Start Free Trial
</Button>
<p className="text-sm opacity-75 mt-4">No credit card required</p>
</section>
</main>
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.
- 9d ago First seen · 326 lines · 30 tokens per session scan A 0e15de7880ef
landing-page-optimizer is a skill published in the GitHub repository OneWave-AI/ClaudeCodeUnleashed (5 stars, last pushed 6mo ago), licensed MIT. It adds 30 tokens to every session and 2,345 once invoked, about $0.0002 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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