preparar-template

preparar-template is a skill for Claude Code, Codex from bytecraft-fernando/botozap-js. It costs 47 tokens per session (961 once invoked), scanned A, original, MIT.

A preparation tool for previewing and adjusting messages that use an approved WhatsApp template. Templates are pre-approved message formats, often required when contacting someone outside WhatsApp's 24-hour reply window.

In plain words
What is it for?
Use it to prepare template messages containing images, documents, videos, authentication details, carousels, or variable values.
Why use it?
It lets you check media, variables, and other message details before sending. The preview stage does not send the message.

Skill for Claude CodeCodex

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

Good fit Use it to prepare template messages containing images, documents, videos, authentication details, carousels, or variable values.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bytecraft-fernando/botozap-js/preparar-template
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 bytecraft-fernando/botozap-js --skill preparar-template
Clone the repo
git clone --depth 1 https://github.com/bytecraft-fernando/botozap-js

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 preparar-template

README.md
[![agentmods](https://agentmods.dev/badge/skills/bytecraft-fernando/botozap-js/preparar-template/github.svg)](https://agentmods.dev/skills/bytecraft-fernando/botozap-js/preparar-template)
Your own site
<a href="https://agentmods.dev/skills/bytecraft-fernando/botozap-js/preparar-template"><img src="https://agentmods.dev/badge/skills/bytecraft-fernando/botozap-js/preparar-template/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 preparar-template

Your own site · 80×15
<a href="https://agentmods.dev/skills/bytecraft-fernando/botozap-js/preparar-template"><img src="https://agentmods.dev/badge/skills/bytecraft-fernando/botozap-js/preparar-template.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 961 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 $0.00047 $0.00961
Opus 5.5 $0.00019 $0.00384
Sonnet 5.5 $0.00009 $0.00192
Haiku 4.5 $0.00005 $0.00096

Measured 14d ago against content hash 2fa7debe9290, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

preparar-template 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 14d 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.

plugins/botozap/skills/preparar-template/SKILL.md · 30 lines

How it starts

The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Template aprovado: prévia primeiro

Escolher tool direta ou UI

  • Pedido completo e explícito, sem escolha pendente (contato + dia + hora para agenda; destinatário + texto exato para mensagem): use a tool direta create_appointment, reply_to_conversation ou send_message, conforme o contrato disponível. O ChatGPT pede permissão ao usuário antes da execução; nunca contorne essa permissão. Resolva IDs e fuso reais, valide os demais campos obrigatórios e peça dados faltantes. Não abra UI só para repetir o pedido completo.
  • Pedido vago/incompleto, com escolhas, ou para preparar/redigir/revisar/ver pendências: use a tool de UI desta skill. Staging não envia. A confirmação explícita na UI autoriza apenas a ação exibida; nunca chame uma segunda mutação em paralelo.
  • Criar uma definição de template é create_template, diretamente, com permissão do ChatGPT e dados completos. stage_review_template serve apenas para preparar o ENVIO de um template já aprovado, nunca para criar/aprovar sua definição.
  • Sem UI, continue com consultas; para preparar/revisar, apresente o rascunho e encaminhe a revisão ao painel web. Pedidos completos continuam na rota direta com permissão do ChatGPT. Incerto não autoriza repetir nem gerar outra chave; confira histórico/agenda. Use prepare_send_intent para envio direto e preserve a chave por intenção; agenda usa idempotency_key.
  1. Leia a conversa/origem autorizada. Consulte list_templates com status APPROVED e número de origem; use get_template para a definição escolhida. Para criar uma definição, use create_template com permissão do ChatGPT; criação não significa aprovação pela Meta. Esta UI é somente para enviar um template aprovado.
  2. Chame stage_review_template com conversation_id e, se conhecido, template_id. Preencha suggested_values por ID do template com chaves reais do contexto da UI; mídia pode usar media_metadata de nome/tamanho conhecido.
  3. A prévia é protagonista. Para “muda o nome para Mariana” ou “troca a imagem do segundo card”, use os nomes humanos/chaves do contexto da UI e reaplique stage_review_template, preservando os demais valores. Não altere texto estático/botões da definição aprovada.
  4. A UI mantém Editar campos e Avançado fechados. Não abra review_template_variables automaticamente; use o formulário nativo somente quando a pessoa pedir revisão de campos e o host suportar.
  5. Mídia: referência pública HTTPS ou identificador de upload existente, sem baixar terceiros ou expor URL sensível. Não invente arquivo, URL ou ID. Autenticação: código vem do sistema do negócio, nunca gere um OTP. Sem dados obrigatórios, peça ao usuário.
  6. Ofereça somente componentes suportados e aprovados para essa origem. Template sincronizado com botão FLOW é bloqueado: “Este template usa WhatsApp Flows, que não fazem parte do BotoZap. Use outro template aprovado.” Não mostre prévia nem tente enviá-lo.
  7. Revisar envio/Enviar template e a idempotência pertencem à UI. Na rota UI, nunca chame send_message para pular confirmação ou contornar template bloqueado. Um pedido completo de envio direto respeita a permissão do ChatGPT e as mesmas validações.

Read the full file on GitHub · 30 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. 14d ago First seen · 30 lines · 47 tokens per session scan A 2fa7debe9290

Subscribe to this mod's changes

preparar-template is a skill published in the GitHub repository bytecraft-fernando/botozap-js (0 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 961 once invoked, about $0.0002 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 2026-10-01.

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