whatsapp-funil

whatsapp-funil is a skill for Claude Code from marketingLendario/cohort-de-marketing. It costs 169 tokens per session (5,279 once invoked), scanned A, original, no licence file.

A tool for planning WhatsApp and direct-message sequences in a marketing funnel. A funnel is the series of messages and steps that moves a potential customer toward a purchase, such as reminders, abandoned-cart messages, and follow-ups.

In plain words
What is it for?
Use it to create message sequences for events or live sessions, confirmations, abandoned carts, declined cards, customer education, and re-engagement.
Why use it?
It turns a product or offer into messages suited to different moments and levels of customer awareness.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to create message sequences for events or live sessions, confirmations, abandoned carts, declined cards, customer education, and re-engagement.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marketinglendario/cohort-de-marketing/whatsapp-funil
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 marketingLendario/cohort-de-marketing --skill whatsapp-funil
Clone the repo
git clone --depth 1 https://github.com/marketingLendario/cohort-de-marketing

Made for: Claude Code.

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 whatsapp-funil

README.md
[![agentmods](https://agentmods.dev/badge/skills/marketinglendario/cohort-de-marketing/whatsapp-funil/github.svg)](https://agentmods.dev/skills/marketinglendario/cohort-de-marketing/whatsapp-funil)
Your own site
<a href="https://agentmods.dev/skills/marketinglendario/cohort-de-marketing/whatsapp-funil"><img src="https://agentmods.dev/badge/skills/marketinglendario/cohort-de-marketing/whatsapp-funil/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 whatsapp-funil

Your own site · 80×15
<a href="https://agentmods.dev/skills/marketinglendario/cohort-de-marketing/whatsapp-funil"><img src="https://agentmods.dev/badge/skills/marketinglendario/cohort-de-marketing/whatsapp-funil.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 169 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,279 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.
Origin unknown 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 $0.00169 $0.05279
Opus 5.5 $0.00068 $0.02112
Sonnet 5.5 $0.00034 $0.01056
Haiku 4.5 $0.00017 $0.00528

Measured 2mo ago against content hash 8e56b58f4ccd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

whatsapp-funil 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.

.agents/skills/whatsapp-funil/SKILL.md · 196 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 196 lines · 169 tokens per session scan A 8e56b58f4ccd

Subscribe to this mod's changes

whatsapp-funil is a skill published in the GitHub repository marketingLendario/cohort-de-marketing (28 stars, last pushed 1mo ago), with no licence file. It adds 169 tokens to every session and 5,279 once invoked, about $0.0007 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.

Related

whatsapp-funil compared with skills from other repositories

whatsapp-funil next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
whatsapp-funilmarketingLendario/cohort-de-marketingSkill281mo agononeA169Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code