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 pe-menezes/pm-chief-of-staff --skill preparar-conversagit clone --depth 1 https://github.com/pe-menezes/pm-chief-of-staffWrote 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/pe-menezes/pm-chief-of-staff/preparar-conversa)<a href="https://agentmods.dev/skills/pe-menezes/pm-chief-of-staff/preparar-conversa"><img src="https://agentmods.dev/badge/skills/pe-menezes/pm-chief-of-staff/preparar-conversa/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/pe-menezes/pm-chief-of-staff/preparar-conversa"><img src="https://agentmods.dev/badge/skills/pe-menezes/pm-chief-of-staff/preparar-conversa.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 | $0.00106 | $0.00983 |
| Opus 5 | $0.00053 | $0.00491 |
| Sonnet 5 | $0.00021 | $0.00197 |
| Haiku 4.5 | $0.00011 | $0.00098 |
Grade A, and why
preparar-conversa 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 12d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preparar uma conversa
Semente do pm-chief-of-staff. Este arquivo é SEU: peça pro agente mudar o formato da pauta ("quero que sempre tenha uma seção de X") e ele edita esta skill na hora.
Escrita: siga o cânone do CLAUDE.md desta pasta. Na ausência dele: sem travessão (use vírgula, parênteses ou dois pontos), frases curtas e densas, 1 linha por item.
Pauta boa nasce do que já está escrito, não da memória. O fluxo: levantar candidatos → validar com a pessoa → escrever a pauta só com o validado.
Passo 1: levantar candidatos
- Ler o hub da pessoa em
pessoas/, começando pela cabeça: a seção Fatos (datados, com fonte) e a Leitura vigente (a mais recente, sem marca de superada) são a base da preparação; leitura marcada como superada é ignorada. Sinais recentes e Histórico entram como complemento. - Ler as 2 a 3 últimas notas de conversa com ela em
reunioes/: o que ficou de follow-up (dos dois lados), o que foi combinado "pra próxima". - Grep do nome no diário e no
memory/das últimas 2 semanas: o que apareceu sobre ela ou sobre os temas dela. - Todo item da seção "Sinais recentes" do hub é candidato. Sinal parado há mais de 3 semanas entra com a pergunta: cobra de novo ou caiu?
- Se existir
.claude/skills/_shared/capacidades.mdcomproviderecomo chamaremmensagensoutickets, puxar por ali o que apareceu nas últimas 2 semanas sobre a pessoa e os temas dela (a mesma janela do item 3), como candidato igual aos outros. Sem o módulo, com a linha vazia ou pela metade, ou se a busca falhar, o passo 1 fica nos arquivos, que é o default.
Passo 2: validar com a pessoa
Apresentar os candidatos numerados, agrupados (follow-ups abertos / sinais / tópicos novos), e perguntar o que entra: levar / hoje não / descartar / editar. Não censurar candidato por conta própria; a pessoa decide.
Passo 3: escrever a pauta
Arquivo em reunioes/{nome}/YYYY-MM-DD pauta.md, mira de 15 linhas no máximo, tom factual. Seção sem conteúdo é omitida.
**Contexto:** {1 linha: momento da pessoa + o que está quente}
Abrir ouvindo: "o que você me traz?"
## Follow-ups abertos
- {item + prazo + pergunta, 1 linha cada; pendência SUA que impacta a pessoa entra com transparência}
## Decisões a tomar
- {1 linha por decisão que precisa sair da conversa}
## Tópicos
- {o que entrar do passo 2}
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.
- 12d ago First seen · 54 lines · 106 tokens per session scan A e93870d32a1b
preparar-conversa is a skill published in the GitHub repository pe-menezes/pm-chief-of-staff (2 stars, last pushed 1mo ago), licensed MIT. It adds 106 tokens to every session and 983 once invoked, about $0.0005 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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