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 agentmods add commands/linofcp007/advogado-pt/rgpdgit 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/rgpd)<a href="https://agentmods.dev/commands/linofcp007/advogado-pt/rgpd"><img src="https://agentmods.dev/badge/commands/linofcp007/advogado-pt/rgpd.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 | $0.00032 | $0.00331 |
| Opus 5 | $0.00016 | $0.00166 |
| Sonnet 5 | $0.00006 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
rgpd 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 5d 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 para a questão de RGPD em $ARGUMENTS.
Lê a referência rgpd (via tool MCP ler_referencia com nome: rgpd). Se for violação de dados, segue o playbook data-breach (via obter_playbook) — atenção ao prazo de 72h de notificação à CNPD. Verifica a conformidade com a checklist-rgpd (via obter_checklist). Para documentos, usa templates como politica-privacidade, dpa-bilingue ou cookie-policy.
EN: Activate the advogado-pt skill for the GDPR matter in $ARGUMENTS. Read the rgpd reference (via the ler_referencia MCP tool with nome: rgpd). If it is a data breach, follow the data-breach playbook (via obter_playbook) — mind the 72h CNPD notification deadline. Check compliance with the checklist-rgpd (via obter_checklist). For documents, use templates such as politica-privacidade, dpa-bilingue or cookie-policy.
Exemplos · Examples: "tivemos uma fuga de dados", "we had a data breach".
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.
- 5d ago First seen · 13 lines · 32 tokens per session scan A bea51757c90f
rgpd is a command published in the GitHub repository linofcp007/advogado-pt (0 stars, last pushed 27d ago), licensed MIT. It adds 32 tokens to every session and 331 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.
Other commands, from other repositories
data-act-ryan-malek
EU Data Act skill — classify, draft, lookup, analyze, or audit under Regulation (EU) 2023/2854. Produces lawyer-style Word output.
rescisao
Slash command /rescisao — calcula imediatamente as verbas rescisórias CLT. Ativa quando o usuário digita /rescisao, "calcular rescisão", "quanto recebo se for demitido", "verbas rescisórias".
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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.