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 marcar-horariogit 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/marcar-horario)<a href="https://agentmods.dev/skills/bytecraft-fernando/botozap-js/marcar-horario"><img src="https://agentmods.dev/badge/skills/bytecraft-fernando/botozap-js/marcar-horario/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/marcar-horario"><img src="https://agentmods.dev/badge/skills/bytecraft-fernando/botozap-js/marcar-horario.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 | $0.00035 | $0.00744 |
| Opus 5.5 | $0.00014 | $0.00298 |
| Sonnet 5.5 | $0.00007 | $0.00149 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
marcar-horario 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 — 27 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marcar horário
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.
- Resolva conversa, negócio, serviço ativo e responsável a partir de
get_conversation,list_appointment_serviceselist_users; confirme qualquer ambiguidade. Nunca invente IDs ou disponibilidade. - Chame
stage_appointment_bookingcomconversation_id,service_id,owner_user_id,from,toemeeting_requestedquando solicitado. Datas devem respeitar o fuso retornado do negócio; a tool consulta disponibilidade, não cria compromisso nem envia aviso. - A UI agrupa horários por dia. Ao escolher Marcar, mostra contato, serviço, horário, responsável e prévia do aviso. Confirmar na UI autoriza o compromisso e o aviso exibidos; não chame
create_appointmentou envio em paralelo. - Meet depende da conexão do responsável; não prometa link antes do resultado. A UI revalida disponibilidade e usa idempotência. Se o compromisso existe mas o aviso falhou/incerto, conferir histórico sem criar outro compromisso.
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 · 27 lines · 35 tokens per session scan A 7fe5eefdf80c
marcar-horario is a skill published in the GitHub repository bytecraft-fernando/botozap-js (0 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 744 once invoked, about $0.0001 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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