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 mfwarren/entrepreneur-claude-skills --skill landing-pagesgit clone --depth 1 https://github.com/mfwarren/entrepreneur-claude-skillsWrote 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/mfwarren/entrepreneur-claude-skills/landing-pages)<a href="https://agentmods.dev/skills/mfwarren/entrepreneur-claude-skills/landing-pages"><img src="https://agentmods.dev/badge/skills/mfwarren/entrepreneur-claude-skills/landing-pages/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/mfwarren/entrepreneur-claude-skills/landing-pages"><img src="https://agentmods.dev/badge/skills/mfwarren/entrepreneur-claude-skills/landing-pages.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 | $0.00002 | $0.00587 |
| Opus 5.5 | $0.00001 | $0.00235 |
| Sonnet 5.5 | $0.00000 | $0.00117 |
| Haiku 4.5 | $0.00000 | $0.00059 |
Grade A, and why
landing-pages 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 1mo 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Pages
High-converting landing page wireframes, copy, and CRO recommendations.
Purpose
Create landing page structures that convert visitors into leads or customers. Combine persuasive copy with proven layout patterns.
Workflow
Step 1: Gather Context
- Goal: lead capture, product sale, sign up, demo request
- Traffic source: paid ads, organic, email, social
- Target audience
- Key offer/value prop
- Current conversion rate (if exists)
Step 2: Page Structure
Standard high-converting layout:
- Hero Section: Headline + subheadline + CTA + social proof
- Problem Section: Agitate the pain they're experiencing
- Solution Section: How your product solves it (benefits, not features)
- Social Proof: Testimonials, logos, case study snippets, numbers
- How It Works: 3-step process (simplify complexity)
- Features/Benefits: What they get (benefit-led, not feature-led)
- Pricing/Offer: Clear pricing or offer details
- FAQ: Address top 5 objections
- Final CTA: Repeat the primary call to action
- Risk Reversal: Guarantee, free trial, easy cancellation
Step 3: Write the Copy
For each section, write:
- Headline and body text
- CTA button text (action-specific: "Start free trial" not "Submit")
- Supporting copy (testimonial suggestions, proof points)
Step 4: CRO Recommendations
- Remove navigation (for dedicated landing pages)
- Single CTA — don't offer multiple paths
- Mobile-first copy (short paragraphs, large buttons)
- Speed recommendations
- Trust signals placement
Output Format
## Landing Page: [Product/Offer]
### Wireframe
[Section-by-section structure with copy]
### Hero
**Headline:** [text]
**Subheadline:** [text]
**CTA:** [button text]
[Continue for each section]
### CRO Checklist
[Optimization recommendations]
Constraints
- No navigation links on conversion-focused landing pages
- One CTA per page (can repeat, but same action)
- Don't overload with content — every section must earn its place
- Note where the user needs to provide real testimonials/logos
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.
- 1mo ago First seen · 89 lines · 2 tokens per session scan A 7dac85a19ce5
landing-pages is a skill published in the GitHub repository mfwarren/entrepreneur-claude-skills (83 stars, last pushed 8mo ago), licensed MIT. It adds 2 tokens to every session and 587 once invoked, about $0.0000 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 2026-08-30.
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