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.
git 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/commands/brainbytes-dev/everything-claude-marketing/landing-page)<a href="https://agentmods.dev/commands/brainbytes-dev/everything-claude-marketing/landing-page"><img src="https://agentmods.dev/badge/commands/brainbytes-dev/everything-claude-marketing/landing-page/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/commands/brainbytes-dev/everything-claude-marketing/landing-page"><img src="https://agentmods.dev/badge/commands/brainbytes-dev/everything-claude-marketing/landing-page.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 | $0.00019 | $0.02078 |
| Opus 5.5 | $0.00008 | $0.00831 |
| Sonnet 5.5 | $0.00004 | $0.00416 |
| Haiku 4.5 | $0.00002 | $0.00208 |
Grade A, and why
landing-page 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/landing-page
Create or optimize a landing page with persuasive structure, compelling copy, strategic CTA placement, and data-driven conversion recommendations.
What This Command Does
This command designs a complete landing page or audits an existing one for conversion optimization. It delivers the full page structure — from hero section through final CTA — with written copy, layout recommendations, social proof placement, and specific suggestions for improving conversion rates. The output includes the information hierarchy, headline and subhead copy, section-by-section content, CTA language and placement strategy, and a prioritized list of optimization tests to run. Whether you are building a new page or trying to push a 2% conversion rate higher, this command gives you a concrete, actionable plan.
When to Use
- Building a landing page for a new product, feature, or campaign
- Optimizing a signup, trial, or demo request page that is underperforming
- Creating a campaign-specific landing page for paid ads or email traffic
- Redesigning a pricing page or comparison page
- Building a webinar, event, or waitlist registration page
- Launching a Product Hunt or beta launch landing page
- A/B testing page elements and need variant ideas
- Auditing an existing page for conversion issues
How It Works
- Understands the goal — Clarifies the page's primary conversion action, traffic source, and audience
- Analyzes current state — For optimization requests, reviews the existing page structure and identifies issues
- Defines the information hierarchy — Determines the optimal order of sections based on visitor intent and awareness level
- Writes the copy — Creates headline, subhead, body sections, and CTAs using proven persuasion frameworks
- Places social proof — Strategically positions testimonials, logos, metrics, and trust signals
- Structures the layout — Recommends section flow, visual weight distribution, and scroll depth management
- Designs CTA strategy — Determines number of CTAs, placement, copy, and visual treatment
- Builds optimization roadmap — Prioritizes A/B tests based on expected impact
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 · 221 lines · 19 tokens per session scan A a16ef1eac57a
landing-page is a command published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 2,078 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 2026-08-31.
landing-page compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| landing-pagebrainbytes-dev/everything-claude-marketing | Command | 10 | 7mo ago | MIT | A | 19 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |