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-retention-erasuregit 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-retention-erasure)<a href="https://agentmods.dev/skills/goul4rt/lgpd-skills/lgpd-retention-erasure"><img src="https://agentmods.dev/badge/skills/goul4rt/lgpd-skills/lgpd-retention-erasure/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-retention-erasure"><img src="https://agentmods.dev/badge/skills/goul4rt/lgpd-skills/lgpd-retention-erasure.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 | $0.00093 | $0.00892 |
| Opus 5 | $0.00046 | $0.00446 |
| Sonnet 5 | $0.00019 | $0.00178 |
| Haiku 4.5 | $0.00009 | $0.00089 |
Grade A, and why
lgpd-retention-erasure 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Retention & Erasure
Arts. 15-16 LGPD definem o término do tratamento. Art. 18, VI dá direito à eliminação. A tensão prática é com retenções legais obrigatórias.
Hierarquia de obrigações
Retenção legal obrigatória > Retenção contratual > Vontade do titular (Art. 18, VI)
Quando há obrigação legal de manter (fiscal, trabalhista, bancário, Marco Civil), o tratamento continua bloqueado (não usado para finalidade original) até o fim do prazo legal, depois é eliminado.
Prazos comuns no Brasil
| Categoria | Prazo | Fonte |
|---|---|---|
| Fiscal (notas, impostos) | 5 anos | CTN Art. 173-174 |
| Trabalhista (contratos, folha) | 5 anos | CLT Art. 11 |
| Previdenciária | 10 anos | Lei 8.212/91 |
| Bancário | 10 anos | CMN |
| Marco Civil — logs de conexão | 1 ano | Lei 12.965/2014 Art. 13 |
| Marco Civil — logs de acesso a apps | 6 meses | Lei 12.965/2014 Art. 15 |
| CDC — relação de consumo | 5 anos | CDC Art. 27 (prescrição) |
Estratégias de eliminação
1. Hard delete
Quando não há retenção legal. Cascata bem definida em todas as tabelas + replicas + backups quando possível.
2. Soft delete + bloqueio
Quando há retenção legal de alguns campos. Marcar deletedAt, mascarar campos não-essenciais, manter apenas o estritamente necessário.
3. Crypto-shredding
Quando há volume e dificuldade de varrer storage. Dados cifrados por chave do titular; eliminação = destrói a chave.
4. Anonimização
Substituto à eliminação. Após anonimizar (irreversivelmente), dado sai do escopo da LGPD (Art. 12).
Schema Prisma
model RetentionRule {
id String @id @default(cuid())
entity String // "User", "Order", "Message"
purpose String // "marketing", "billing"
retentionMonths Int
legalBasis String
postAction PostRetentionAction
triggeredBy String // "consent_revoked", "contract_end", "ttl"
active Boolean @default(true)
}
enum PostRetentionAction {
HARD_DELETE
ANONYMIZE
CRYPTO_SHRED
BLOCK_AND_RETAIN
}
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 · 95 lines · 93 tokens per session scan A 6f424dd14c8c
lgpd-retention-erasure is a skill published in the GitHub repository goul4rt/lgpd-skills (52 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 892 once invoked, about $0.0005 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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