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.
npx skills add bytecraft-fernando/botozap-js --skill revisar-pendenciasgit clone --depth 1 https://github.com/bytecraft-fernando/botozap-jsWrote 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/skills/bytecraft-fernando/botozap-js/revisar-pendencias)<a href="https://agentmods.dev/skills/bytecraft-fernando/botozap-js/revisar-pendencias"><img src="https://agentmods.dev/badge/skills/bytecraft-fernando/botozap-js/revisar-pendencias/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/skills/bytecraft-fernando/botozap-js/revisar-pendencias"><img src="https://agentmods.dev/badge/skills/bytecraft-fernando/botozap-js/revisar-pendencias.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 | $0.00044 | $0.00838 |
| Opus 5.5 | $0.00018 | $0.00335 |
| Sonnet 5.5 | $0.00009 | $0.00168 |
| Haiku 4.5 | $0.00004 | $0.00084 |
Grade A, and why
revisar-pendencias 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.
How it starts
The opening of the file, as written. The whole thing — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pendências e resposta pronta
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_conversationousend_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_templateserve 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_intentpara envio direto e preserve a chave por intenção; agenda usaidempotency_key.
- Identifique a Conta com
get_profile; escolha o negócio retornado porlist_customers. Se a escolha não for inequívoca, peça ao usuário. - Para “o que tenho hoje”, chame
list_radarcomcustomer_id: a tool pode exibir o carrossel inline. Preserve criticidade/paginação. Para Radar completo, useopen_review_panele a seleção explícita de negócio na UI; não confunda negócio com Conta. - Resolva conversa por IDs retornados; oportunidade/demanda usam
list_opportunity_conversations/list_demand_conversations. Leiaget_conversationelist_messages, só o necessário. - Prepare texto com fatos do histórico em
stage_review_reply(conversation_id,text). A UI mostra contato, origem, negócio, última mensagem e prévia. Para “deixa mais curto”, use o contexto da UI e a mesma tool para atualizar o rascunho; isso não envia. - Editar amplia a conversa quando o host suporta fullscreen. O usuário revisa e confirma o envio na UI; mantenha a idempotência do fluxo existente, sem segunda chamada de envio pelo modelo.
- Janela de 24h fechada: siga
preparar-template. Canal não suportado: painel web. Após aceite, para acompanhar status, sigaplantao-ao-vivo.
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.
- 14d ago First seen · 29 lines · 44 tokens per session scan A f7f33fbe4faa
revisar-pendencias is a skill published in the GitHub repository bytecraft-fernando/botozap-js (0 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 838 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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