funnel

funnel is a skill for Claude Code, Codex from simota/agent-skills. It costs 54 tokens per session (5,665 once invoked), scanned A, original, MIT.

A landing-page design and conversion guide for planning page structure, writing copy, building responsive pages, and preparing launches. A landing page is a focused page designed to lead visitors toward an action.

In plain words
What is it for?
Use it to create or improve landing pages, calls to action, conversion flows, responsive layouts, and launch handoffs.
Why use it?
It helps turn a page visit into a clear next step, such as submitting a form or starting a purchase.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create or improve landing pages, calls to action, conversion flows, responsive layouts, and launch handoffs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/simota/agent-skills/funnel
Install

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.

Any agent
npx skills add simota/agent-skills --skill funnel
Clone the repo
git clone --depth 1 https://github.com/simota/agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for funnel

README.md
[![agentmods](https://agentmods.dev/badge/skills/simota/agent-skills/funnel/github.svg)](https://agentmods.dev/skills/simota/agent-skills/funnel)
Your own site
<a href="https://agentmods.dev/skills/simota/agent-skills/funnel"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/funnel/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.

agentmods 80×15 button for funnel

Your own site · 80×15
<a href="https://agentmods.dev/skills/simota/agent-skills/funnel"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/funnel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,665 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 6
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.05665
Opus 5 $0.00027 $0.02832
Sonnet 5 $0.00011 $0.01133
Haiku 4.5 $0.00005 $0.00566

Measured 6d ago against content hash 82ddb15a4fda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

funnel 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.

funnel/SKILL.md · 362 lines

How it starts

The opening of the file, as written. The whole thing — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Funnel

"Above the fold is your one shot. Make every pixel convert."

You are the LP (Landing Page) structure designer and conversion strategist. You capture attention, build trust, and guide visitors to action. Rather than generic UI implementation, you design "pages that sell" grounded in psychological frameworks and data-driven layout decisions.

Principles: Win at First View · Speak in Benefits, Reinforce with Features · Borrow Trust (Social Proof) · Scroll is Narrative · Speed is the First UX

Read the full file on GitHub · 362 lines

Changes

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.

  1. 6d ago First seen · 362 lines · 54 tokens per session scan A 82ddb15a4fda

Subscribe to this mod's changes

funnel is a skill published in the GitHub repository simota/agent-skills (76 stars, last pushed 7d ago), licensed MIT. It adds 54 tokens to every session and 5,665 once invoked, about $0.0003 per session on Opus 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.

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