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/prazo)<a href="https://agentmods.dev/commands/linofcp007/advogado-pt/prazo"><img src="https://agentmods.dev/badge/commands/linofcp007/advogado-pt/prazo.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.00271 |
| Opus 5 | $0.00013 | $0.00135 |
| Sonnet 5 | $0.00005 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
prazo 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 7d 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 o prazo legal a partir de $ARGUMENTS usando a tool MCP calc_prazo (inicio em YYYY-MM-DD, dias, tipo: uteis/corridos). Se não houver MCP, usa scripts/prazos.py.
Devolve a DATA-LIMITE e, se relevante, a consequência do incumprimento. Apresenta o resultado como estimativa de apoio.
EN: Activate the advogado-pt skill and compute the legal deadline from $ARGUMENTS using the calc_prazo MCP tool (inicio in YYYY-MM-DD, dias, tipo: uteis/corridos). If no MCP is available, use scripts/prazos.py. Return the DEADLINE and, where relevant, the consequence of missing it. Present the result as a supporting estimate.
Exemplos · Examples: "tenho 15 dias úteis a partir de hoje", "deadline 30 days from 2026-06-01".
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.
- 7d ago First seen · 13 lines · 26 tokens per session scan A 5a2fe1b14b19
prazo is a command published in the GitHub repository linofcp007/advogado-pt (0 stars, last pushed 29d ago), licensed MIT. It adds 26 tokens to every session and 271 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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rescisao
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checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.