wacon-whatsapp

wacon-whatsapp is a skill for Claude Code, Codex from JOSETRA44/wacon-mcp. It costs 157 tokens per session (3,834 once invoked), scanned A, original, MIT.

A set of instructions for operating a user's WhatsApp through the Wacon service. It can read chats, search past conversations, recall commitments, and send messages in the user's established style for each contact.

In plain words
What is it for?
Reading inboxes and chats, searching conversations, checking commitments, resolving contacts, and sending WhatsApp messages.
Why use it?
It helps an agent work with real WhatsApp conversations while keeping messages suited to the person receiving them. Data commands can return structured JSON for reliable agent use.

Skill for Claude CodeCodex

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

Good fit Reading inboxes and chats, searching conversations, checking commitments, resolving contacts, and sending WhatsApp messages.

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Install with agentmods
npx agentmods add skills/josetra44/wacon-mcp/wacon-whatsapp
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 JOSETRA44/wacon-mcp --skill wacon-whatsapp
Clone the repo
git clone --depth 1 https://github.com/JOSETRA44/wacon-mcp

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 wacon-whatsapp

README.md
[![agentmods](https://agentmods.dev/badge/skills/josetra44/wacon-mcp/wacon-whatsapp/github.svg)](https://agentmods.dev/skills/josetra44/wacon-mcp/wacon-whatsapp)
Your own site
<a href="https://agentmods.dev/skills/josetra44/wacon-mcp/wacon-whatsapp"><img src="https://agentmods.dev/badge/skills/josetra44/wacon-mcp/wacon-whatsapp/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 wacon-whatsapp

Your own site · 80×15
<a href="https://agentmods.dev/skills/josetra44/wacon-mcp/wacon-whatsapp"><img src="https://agentmods.dev/badge/skills/josetra44/wacon-mcp/wacon-whatsapp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 157 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,834 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 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 $0.00157 $0.03834
Opus 5 $0.00078 $0.01917
Sonnet 5 $0.00031 $0.00767
Haiku 4.5 $0.00016 $0.00383

Measured 11d ago against content hash 584a1fdc1b15, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

wacon-whatsapp 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 11d 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.

skills/wacon-whatsapp/SKILL.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wacon — WhatsApp con la voz del usuario

Wacon expone el WhatsApp real del usuario vía MCP. Enviar un mensaje es actuar en nombre de una persona real ante otra persona real: la meta no es redactar bien, es sonar exactamente como el usuario suena con ese contacto. Un mensaje demasiado formal a su mejor amigo delata a la IA tan rápido como un error.

Si usas la CLI en vez del MCP

Algunos agentes prefieren la terminal. Perfecto — pero añade siempre --json:

wacon inbox --json      # ✅ objeto limpio, cero códigos ANSI
wacon inbox             # ❌ pensado para humanos: colores que ensucian tu contexto

Con --json el comando imprime el objeto tal cual y los errores llegan como {"ok":false,"error":"..."} con código de salida 1. Funciona en inbox, brief, commitments, chats, read, search, resolve, targets, status, doctor y demás comandos de datos.

wacon chat y wacon chat ultra (la app de pantalla completa) son la excepción: son interactivos y solo para humanos — no los lances, se quedarían bloqueados. Para todo lo tuyo usa el MCP o los comandos con --json.

Conexión

  • Tools disponibles si el MCP wacon está registrado (claude mcp add wacon -- wacon mcp).
  • Si un tool falla, llama whatsapp_status. Si el estado no es connected, usa whatsapp_login y muéstrale el QR al usuario (imagen) para que lo escanee desde su teléfono. La sesión persiste después.
  • Los chats se identifican por JID ([email protected], grupos [email protected]). Si solo tienes un nombre, resuélvelo con search_contacts.

El workflow obligatorio para responder

Nunca envíes a ciegas. La forma más eficiente es una sola llamada:

prepare_reply(chat, situation) arma TODO el briefing de una vez y ahorra tokens (reemplaza 5 llamadas): la persona global del usuario, los hechos de la persona (dim 1: quién es, gustos, fechas) + huecos por descubrir, la dinámica y estilo (dim 2: emojis, formalidad, tuteo/usted, bromas internas, qué evitar), los últimos mensajes, el recall de memoria relevante, y —solo si el chat está etiquetado como especial— el consejo del playbook (NotebookLM) con citas. Activa "escribiendo…" mientras procesa. Pásale situation (qué quieres lograr) para habilitar el recall y el playbook.

Read the full file on GitHub · 267 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. 11d ago First seen · 267 lines · 157 tokens per session scan A 584a1fdc1b15

Subscribe to this mod's changes

wacon-whatsapp is a skill published in the GitHub repository JOSETRA44/wacon-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 157 tokens to every session and 3,834 once invoked, about $0.0008 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 2026-08-31.

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