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Lgpd Retention Erasure

Community
goul4rt
lgpd-retention-erasure

Define retention rules and erasure mechanisms (LGPD Arts. 15-16) reconciling subject's right to erasure (Art. 18, VI) with legal retention obligations (fiscal, labor, banking). Use when user asks 'retenção LGPD', 'quanto tempo guardar', 'eliminação de dados', 'soft delete vs hard delete', 'crypto-shredding', 'right to be forgotten'.

Overview

Publishergoul4rt
Repositorylgpd-skills
Skill namelgpd-retention-erasure
Stars
107
Forks
15
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by goul4rt on GitHub. Read the source before you install it.

Installation

Install the Lgpd Retention Erasure AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/goul4rt/lgpd-skills/tree/main/skills/lgpd-retention-erasure
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/goul4rt/lgpd-skills.git /tmp/lgpd-skills
mkdir -p .claude/skills
cp -r /tmp/lgpd-skills/skills/lgpd-retention-erasure .claude/skills/lgpd-retention-erasure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lgpd Retention Erasure in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lgpd Retention Erasure on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lgpd Retention Erasure is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

CategoriaPrazoFonte
Fiscal (notas, impostos)5 anosCTN Art. 173-174
Trabalhista (contratos, folha)5 anosCLT Art. 11
Previdenciária10 anosLei 8.212/91
Bancário10 anosCMN
Marco Civil — logs de conexão1 anoLei 12.965/2014 Art. 13
Marco Civil — logs de acesso a apps6 mesesLei 12.965/2014 Art. 15
CDC — relação de consumo5 anosCDC 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

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
}

Job de eliminação automática

Cron job diário:

  1. Identifica registros que ultrapassaram retenção
  2. Aplica postAction conforme RetentionRule
  3. Loga em AuditLogEntry
  4. Notifica relatório semanal ao Encarregado

Workflow para Art. 18, VI

Ver detalhes no skill lgpd-dsar. Resumo:

  1. Recebe pedido
  2. Verifica retenção legal
  3. Se ZERO retenção → hard delete
  4. Se PARCIAL → soft delete + crypto-shred dos campos elimináveis
  5. Loga
  6. Responde titular informando o que foi eliminado e o que foi bloqueado (com prazo)

Status update

markdown
## F8 — Retention ✓
- RetentionRules configuradas: {N}
- Job diário ativo
- Eliminação automatizada validada em ambiente staging
- {M} registros já em fila para eliminação
- Próximo: lgpd-incident-response

Frequently asked questions

What does the Lgpd Retention Erasure AI skill do?

Define retention rules and erasure mechanisms (LGPD Arts. 15-16) reconciling subject's right to erasure (Art. 18, VI) with legal retention obligations (fiscal, labor, banking). Use when user asks 'retenção LGPD', 'quanto tempo guardar', 'eliminação de dados', 'soft delete vs hard delete', 'crypto-shredding', 'right to be forgotten'.

Why use Lgpd Retention Erasure on TypingMind?

Because you install it once and use it with any model. Lgpd Retention Erasure is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lgpd Retention Erasure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/goul4rt/lgpd-skills/tree/main/skills/lgpd-retention-erasure. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Lgpd Retention Erasure?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lgpd Retention Erasure?

As many as you like. As long as a model supports skills, you can use Lgpd Retention Erasure with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lgpd Retention Erasure AI skill free?

Yes. It is published on GitHub by goul4rt under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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