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/juros)<a href="https://agentmods.dev/commands/linofcp007/advogado-pt/juros"><img src="https://agentmods.dev/badge/commands/linofcp007/advogado-pt/juros/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/juros"><img src="https://agentmods.dev/badge/commands/linofcp007/advogado-pt/juros.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 | $0.00025 | $0.00269 |
| Opus 5 | $0.00013 | $0.00134 |
| Sonnet 5 | $0.00005 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
juros 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 calcula os juros de mora a partir de $ARGUMENTS usando a tool MCP calc_juros_mora (capital, data_inicio em YYYY-MM-DD, data_fim opcional, tipo: comercial/civil). Se não houver MCP, usa scripts/juros_mora.py.
Devolve período, taxa, juros e total. Apresenta o resultado como estimativa de apoio.
EN: Activate the advogado-pt skill and compute default interest from $ARGUMENTS using the calc_juros_mora MCP tool (capital, data_inicio in YYYY-MM-DD, optional data_fim, tipo: comercial/civil). If no MCP is available, use scripts/juros_mora.py. Return period, rate, interest and total. Present the result as a supporting estimate.
Exemplos · Examples: "quanto rende de juros 5000€ desde março", "interest on 5000 since March".
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 · 25 tokens per session scan A 12e525054ec1
juros is a command published in the GitHub repository linofcp007/advogado-pt (0 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 269 once invoked, about $0.0001 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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