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.
git clone --depth 1 https://github.com/linofcp007/advogado-ptWrote 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/commands/linofcp007/advogado-pt/cobrar)<a href="https://agentmods.dev/commands/linofcp007/advogado-pt/cobrar"><img src="https://agentmods.dev/badge/commands/linofcp007/advogado-pt/cobrar/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/commands/linofcp007/advogado-pt/cobrar"><img src="https://agentmods.dev/badge/commands/linofcp007/advogado-pt/cobrar.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 | $0.00030 | $0.00400 |
| Opus 5 | $0.00015 | $0.00200 |
| Sonnet 5 | $0.00006 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
cobrar 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 8d 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.
What it actually says
Ativa a skill advogado-pt e segue o playbook cliente-nao-paga (via tool MCP obter_playbook com nome: cliente-nao-paga, ou lê playbooks/cliente-nao-paga.md) para a dívida em $ARGUMENTS.
Percorre a árvore de decisão e gera as cartas adequadas a partir dos templates (carta-cobranca-amigavel, carta-cobranca-formal-registada, carta-interpelacao-incumprimento, requerimento-injuncao) via obter_template. Calcula juros de mora com calc_juros_mora e, se aplicável, a taxa de injunção com calc_custas_injuncao.
EN: Activate the advogado-pt skill and follow the cliente-nao-paga playbook (via the obter_playbook MCP tool with nome: cliente-nao-paga, or read playbooks/cliente-nao-paga.md) for the debt in $ARGUMENTS. Walk the decision tree and draft the right letters from the templates (carta-cobranca-amigavel, carta-cobranca-formal-registada, carta-interpelacao-incumprimento, requerimento-injuncao) via obter_template. Compute default interest with calc_juros_mora and, where applicable, the injunction fee with calc_custas_injuncao.
Exemplos · Examples: "o cliente X não me pagou a fatura 123", "client hasn't paid invoice 123".
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.
- 8d ago First seen · 13 lines · 30 tokens per session scan A 87006ab1527d
cobrar is a command published in the GitHub repository linofcp007/advogado-pt (0 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 400 once invoked, about $0.0002 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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