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 gabrielmoreira/agent-skills-mirror --skill landing-page-creatorgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/landing-page-creator)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/landing-page-creator"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/landing-page-creator/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/gabrielmoreira/agent-skills-mirror/landing-page-creator"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/landing-page-creator.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 | $0.00107 | $0.03558 |
| Opus 5 | $0.00053 | $0.01779 |
| Sonnet 5 | $0.00021 | $0.00712 |
| Haiku 4.5 | $0.00011 | $0.00356 |
Grade A, and why
landing-page-creator 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.
This is a copy
100% identical to landing-page-creator — 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 — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Creator
Build dedicated affiliate landing pages that convert. Output is a single self-contained HTML file with inline CSS — no build step, no dependencies, mobile-responsive, deployable anywhere. Supports two page types: single product spotlight and multi-product comparison.
Stage
S4: Landing — Higher conversion than blog links because the entire page is designed around one goal: convert a visitor into a click. Landing pages are the bridge between traffic sources (social, email, ads) and the affiliate product.
When to Use
- User wants a dedicated page to promote an affiliate product
- User wants a comparison/vs page for 2-3 competing products
- User has a product from S1 (affiliate-program-search) and needs a conversion page
- User says anything like "landing page", "sales page", "product page", "comparison page", "vs page"
- User wants to promote an affiliate product beyond blog content
- User needs a deployable HTML page for an affiliate campaign
Input Schema
product: # REQUIRED — the affiliate product to feature
name: string # Product name (e.g., "HeyGen")
description: string # What it does
reward_value: string # Commission (e.g., "30% recurring")
url: string # Affiliate link URL
reward_type: string # "recurring" | "one-time" | "tiered"
cookie_days: number # Cookie duration
tags: string[] # e.g., ["ai", "video", "saas"]
page_type: string # OPTIONAL — "single" | "comparison"
# Default: "single"
compare_with: object[] # OPTIONAL — products for comparison page
- name: string # Competitor name
description: string # Brief description
url: string # URL (non-affiliate OK)
pricing: string # Starting price
angle: string # OPTIONAL — marketing angle / hook
# e.g., "fastest", "cheapest", "best for beginners"
# Default: auto-generated from product strengths
color_scheme: string # OPTIONAL — "blue" | "green" | "purple" | "orange" | "dark" | hex code
# Default: "blue" (#2563eb)
What ships with it
5 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.
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 · 325 lines · 107 tokens per session scan A 69ba5e0cc356
landing-page-creator is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 107 tokens to every session and 3,558 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to landing-page-creator, differing in 0 lines, and is treated as a copy.
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