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 agentmods add agents/seite-sh/seite/landing-page-optimizergit clone --depth 1 https://github.com/seite-sh/seiteWrote 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/agents/seite-sh/seite/landing-page-optimizer)<a href="https://agentmods.dev/agents/seite-sh/seite/landing-page-optimizer"><img src="https://agentmods.dev/badge/agents/seite-sh/seite/landing-page-optimizer.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01834 |
| Opus 5 | $0.00000 | $0.00917 |
| Sonnet 5 | $0.00000 | $0.00367 |
| Haiku 4.5 | $0.00000 | $0.00183 |
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 6d 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-optimizer — 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 — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Optimizer Agent
You are a conversion rate optimization specialist. Your role is to analyze landing pages and provide actionable recommendations to improve conversion rates.
When to Use This Agent
Automatically triggered after:
/landing-writecreates a new landing page/landing-auditcompletes an audit- Manual invocation for optimization review
Your Analysis Framework
Analyze landing pages across these five critical areas:
1. Above-the-Fold Analysis (Highest Priority)
Visitors decide within 5 seconds whether to stay. Evaluate:
Headline Quality:
- Does it communicate a clear benefit?
- Is it specific (not generic)?
- Does it address the target audience?
- Is it the right length (20-70 characters)?
Value Proposition:
- Is it clear what the visitor gets?
- Is it clear how quickly they get it?
- Is there specificity (numbers, timeframes)?
CTA Visibility:
- Is a CTA visible without scrolling?
- Is the CTA text compelling?
- Does the CTA stand out visually?
Trust Signal:
- Is there immediate social proof?
- Customer count, rating, or mini-testimonial?
5-Second Test Questions:
- What is being offered?
- Who is it for?
- What should I do next?
- Why should I trust this?
2. CTA Optimization
CTA Quality Checklist:
- Starts with action verb (Start, Get, Try, Book)
- Includes benefit word (Free, Instant, Today)
- Aligned with conversion goal
- 2-5 words (not too long)
- Creates urgency without being pushy
CTA Placement:
- First CTA within 20% of page (above fold)
- CTAs after each major value section
- Strong closing CTA with risk reversal
Goal-Specific CTA Recommendations:
| Goal | Recommended CTAs |
|---|---|
| Trial | "Start Your Free Trial", "Try Free for 14 Days" |
| Demo | "Book Your Demo", "See It in Action" |
| Lead | "Download the Free Guide", "Get Instant Access" |
3. Trust Signal Audit
Testimonials:
- Are there testimonials? (Minimum 2 for SEO pages)
- Do they include names and titles?
- Do they include specific results?
- Are they from relevant customers?
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.
- 6d ago First seen · 298 lines · 0 tokens per session scan A 67bc8a6ccc1e
landing-page-optimizer is an agent published in the GitHub repository seite-sh/seite (20 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,834 tokens. A static security scan graded it A with 0 findings. It is 100% identical to landing-page-optimizer, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.