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Lgpd Audit Logging

Community
goul4rt
lgpd-audit-logging

Design and implement immutable, hash-chained audit logging for accountability (LGPD Art. 6, X) and incident registration (Res. 15/2024 Art. 10, 5-year retention). Use when user asks 'audit log', 'log de auditoria', 'logging LGPD', 'accountability log', or as part of audit pipeline. Outputs schema + middleware patterns for Next.js.

Overview

Publishergoul4rt
Repositorylgpd-skills
Skill namelgpd-audit-logging
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 Audit Logging 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-audit-logging
  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-audit-logging .claude/skills/lgpd-audit-logging
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lgpd Audit Logging 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 Audit Logging 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 Audit Logging 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.

Audit Logging

Log imutável encadeado para prova de conformidade (Art. 6º, X — responsabilização) e registro de incidentes (Art. 10 Res. 15/2024 — 5 anos).

Princípios

  1. Append-only — sem updates nem deletes
  2. Hash chain — cada entry referencia o hash da anterior (tamper-evident)
  3. Minimização — log evento e hash do payload, NÃO o payload em claro
  4. PII out — nunca logar PII completa (mascarar)
  5. Retenção — mínimo 5 anos para eventos relacionados a incidentes; 6m+ para eventos correntes

Eventos a logar

  • Autenticação (login, logout, MFA, falhas)
  • Acesso a dados pessoais (especialmente sensíveis)
  • Mudanças em consentimento (grant, revoke)
  • DSAR (recebimento, fulfillment, rejeição)
  • Mudanças de configuração de privacidade
  • Acesso administrativo a dados de outros usuários
  • Exports e downloads em massa
  • Mudanças em RBAC

Schema Prisma

prisma
model AuditLogEntry {
  id          String   @id @default(cuid())
  actorId     String?  // null se sistema
  actorType   ActorType
  action      String   // "READ", "WRITE", "DELETE", "EXPORT", "DSAR_FULFILLED", "CONSENT_REVOKED"
  resource    String   // "User:abc123", "Order:xyz"
  subjectId   String?  // titular afetado (se aplicável)
  legalBasis  String?
  purpose     String?
  ipAddress   String?  @db.Inet
  userAgent   String?
  payloadHash String   // SHA-256 do payload (sem PII)
  prevHash    String?  // hash do registro anterior
  selfHash    String   // SHA-256(prevHash || timestamp || action || resource || payloadHash)
  timestamp   DateTime @default(now())

  @@index([subjectId, timestamp])
  @@index([actorId, timestamp])
  @@index([action, timestamp])
}

enum ActorType { USER ADMIN SYSTEM OPERATOR }

Middleware Next.js

ts
// lib/audit.ts
import { createHash } from "crypto";
import { db } from "./db";

export async function logAudit(entry: {
  actorId?: string;
  actorType: ActorType;
  action: string;
  resource: string;
  subjectId?: string;
  legalBasis?: string;
  purpose?: string;
  payload?: object;
  req?: Request;
}) {
  const last = await db.auditLogEntry.findFirst({
    orderBy: { timestamp: "desc" },
    select: { selfHash: true }
  });

  const payloadHash = createHash("sha256")
    .update(JSON.stringify(entry.payload ?? {}))
    .digest("hex");

  const timestamp = new Date();

  const selfHash = createHash("sha256")
    .update(`${last?.selfHash ?? ""}|${timestamp.toISOString()}|${entry.action}|${entry.resource}|${payloadHash}`)
    .digest("hex");

  return db.auditLogEntry.create({
    data: {
      ...entry,
      payload: undefined,
      payloadHash,
      prevHash: last?.selfHash,
      selfHash,
      ipAddress: entry.req?.headers.get("x-forwarded-for") ?? null,
      userAgent: entry.req?.headers.get("user-agent") ?? null,
      timestamp
    }
  });
}

Verificação de integridade

Script periódico que percorre todas as entries em ordem e verifica que cada selfHash bate. Qualquer divergência = tampering ou bug.

Status update

markdown
## F6 — Audit logging ✓
- Schema implementado
- Middleware ativo em rotas críticas
- Verificação de integridade agendada (semanal)
- Retenção configurada (5 anos para eventos críticos)
- Próximo: lgpd-encryption-keys

Frequently asked questions

What does the Lgpd Audit Logging AI skill do?

Design and implement immutable, hash-chained audit logging for accountability (LGPD Art. 6, X) and incident registration (Res. 15/2024 Art. 10, 5-year retention). Use when user asks 'audit log', 'log de auditoria', 'logging LGPD', 'accountability log', or as part of audit pipeline. Outputs schema + middleware patterns for Next.js.

Why use Lgpd Audit Logging on TypingMind?

Because you install it once and use it with any model. Lgpd Audit Logging 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 Audit Logging in TypingMind?

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

Which AI models can use Lgpd Audit Logging?

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 Audit Logging?

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

Is the Lgpd Audit Logging 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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