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 brainbytes-dev/everything-claude-marketing --skill landing-page-optimizationgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/landing-page-optimization)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/landing-page-optimization"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/landing-page-optimization/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/brainbytes-dev/everything-claude-marketing/landing-page-optimization"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/landing-page-optimization.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 | $0.00027 | $0.02892 |
| Opus 5.5 | $0.00011 | $0.01157 |
| Sonnet 5.5 | $0.00005 | $0.00578 |
| Haiku 4.5 | $0.00003 | $0.00289 |
Grade A, and why
landing-page-optimization 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 2mo 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Optimization
When to Activate
Use this skill when you are creating, reviewing, auditing, or improving a landing page. Applies to lead generation pages, SaaS signup pages, e-commerce product pages, webinar registration pages, app download pages, or any page with a single conversion goal. Also activate when conversion rates are below benchmarks, when redesigning existing pages, or when building A/B test hypotheses for landing page elements.
First Questions
Before optimizing or creating a landing page, clarify:
- What is the single conversion goal? (form fill, signup, purchase, download, registration)
- Where does the traffic come from? (paid ads, email, organic, social — message match matters)
- What is the audience's awareness level? (unaware, problem-aware, solution-aware, product-aware, most-aware)
- What is the current conversion rate? (if optimizing an existing page)
- What objections does this audience typically have? (price, trust, complexity, timing)
- Desktop or mobile priority? (check analytics split — most pages are 60%+ mobile now)
Core Rules
- One page, one goal. Every landing page has exactly one CTA. Remove navigation, footer links, and anything that creates exit paths.
- Message match is non-negotiable. The headline on the landing page must echo the ad, email, or link that brought the visitor. Mismatched messaging kills conversion.
- Above the fold wins or loses. You have 5 seconds to communicate: what this is, who it's for, what they get, and what to do next.
- Specificity beats cleverness. "Save 11 hours per week" converts better than "Work smarter." Numbers, names, and concrete outcomes outperform abstract benefits.
- Social proof is mandatory. No landing page should lack at least one form of proof: testimonials, customer logos, usage stats, review scores, or case study snippets.
- Reduce friction relentlessly. Every form field, every click, every moment of confusion is a leak. Justify every element on the page.
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.
- 2mo ago First seen · 260 lines · 27 tokens per session scan A c2728533fed5
landing-page-optimization is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 27 tokens to every session and 2,892 once invoked, about $0.0001 per session on Opus 5.5. 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.
landing-page-optimization compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| landing-page-optimizationbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 27 | Claude Code |
| webgl-holographic-foilnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 41 | Claude Code, Codex |
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| visual-ralphYeachan-Heo/oh-my-codex | Skill | 34k | 4d ago | MIT | A | 52 | Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | yesterday | Apache-2.0 | A | 56 | Claude Code |
| accessibilitymicrosoft/hve-core | Skill | 1.6k | yesterday | MIT | A | 47 | Claude Code |