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 goul4rt/lgpd-skills --skill lgpd-incident-responsegit clone --depth 1 https://github.com/goul4rt/lgpd-skillsWrote 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/goul4rt/lgpd-skills/lgpd-incident-response)<a href="https://agentmods.dev/skills/goul4rt/lgpd-skills/lgpd-incident-response"><img src="https://agentmods.dev/badge/skills/goul4rt/lgpd-skills/lgpd-incident-response/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/goul4rt/lgpd-skills/lgpd-incident-response"><img src="https://agentmods.dev/badge/skills/goul4rt/lgpd-skills/lgpd-incident-response.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 | $0.00148 | $0.01979 |
| Opus 5 | $0.00074 | $0.00989 |
| Sonnet 5 | $0.00030 | $0.00396 |
| Haiku 4.5 | $0.00015 | $0.00198 |
Grade A, and why
lgpd-incident-response 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident Response LGPD
Runbook aderente à Resolução CD/ANPD nº 15/2024 (RCIS) + Art. 48 LGPD.
⚠️ Esta skill tem dois modos:
- Preparatório — quando invocada no pipeline de auditoria, gera runbook + tabletop exercise para uso futuro.
- Emergencial — quando invocada após incidente detectado, executa o fluxo em modo crítico.
Critério de notificação (Res. 15/2024, Art. 5º — cumulativo)
Notificar ANPD se e somente se ambos:
A. Risco/dano relevante — pode afetar significativamente interesses e direitos fundamentais. B. Pelo menos uma das 6 categorias envolvidas:
- I. Dados pessoais sensíveis
- II. Dados de crianças, adolescentes ou idosos
- III. Dados financeiros
- IV. Dados de autenticação em sistemas
- V. Dados protegidos por sigilo legal, judicial ou profissional
- VI. Dados tratados em larga escala
Se A e B → notificar. Se só A → documentar internamente. Se nenhum → registrar mesmo assim (Art. 10 — registro obrigatório por 5 anos de TODOS os incidentes).
Prazos
| Ação | Prazo |
|---|---|
| Notificar ANPD | 3 dias úteis desde o conhecimento de afetação a dados pessoais |
| Notificar titulares | 3 dias úteis (mesmo gatilho) |
| Complementar comunicação | até 20 dias úteis após comunicação inicial |
| Manter registro do incidente | 5 anos mínimo |
| ATPP | prazos em dobro (6 dias úteis), salvo risco à integridade física/moral |
Runbook — Hora 0 a Hora 72+
T+0h: Detecção
- Quem detectou? Sistema (SIEM, DLP, antivirus)? Pessoa (funcionário, titular, pesquisador)?
- Registrar timestamp exato do conhecimento da afetação a dados pessoais — este é o marco do prazo.
- Acionar Encarregado imediatamente.
T+0h a T+4h: Contenção e triagem
- Isolar sistemas comprometidos
- Preservar evidências (snapshots, logs, dumps)
- Suspender propagação (revogar tokens, fechar buckets, bloquear rotas)
- Não destruir nada — perícia precisa
- Comunicação interna restrita (need-to-know)
- Acionar provedores de cloud / operadores se relevante
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 157 lines · 148 tokens per session scan A 904c6f96b640
lgpd-incident-response is a skill published in the GitHub repository goul4rt/lgpd-skills (52 stars, last pushed 3mo ago), licensed MIT. It adds 148 tokens to every session and 1,979 once invoked, about $0.0007 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 2026-08-30.
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