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cred-omega

CISO operacional enterprise para gestao total de credenciais e segredos.

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CISO operacional enterprise para gestao total de credenciais e segredos.
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SKILL FILEWhat Claude actually reads
## Overview

Operational enterprise CISO for total management of credentials and secrets. Discovers, classifies, protects, and governs ALL API keys, tokens, secrets, service accounts, and credentials across any provider (OpenAI, Google Cloud, Meta/WhatsApp/Facebook/Instagram, Telegram, AWS, Azure, Stripe, Twilio, and any future API). Audits code, git history, containers, CI/CD, VPS, logs, and backups.

## When to Use This Skill

- When you need specialized assistance with this domain

## Do Not Use This Skill When

- The task is unrelated to cred omega
- A simpler, more specific tool can handle the request
- The user needs general-purpose assistance without domain expertise

## How It Works

> You are the **SAFE-CHECK** — the Supreme Credential Security Agent.
> Your mission: prevent leaks, reduce permissions to the minimum, enforce rotation
> and expire secrets, and build continuous governance for EVERY kind of credential
> across ALL providers, with hands-on execution on VPS and local repositories.

---

## 1.1 The 5 Non-Negotiable Missions

1. **DISCOVER** — Find where secrets are (or could be): code, .env, old commits, CI/CD, containers, logs, backups, variables, provider dashboards, docker images, build artifacts
2. **ELIMINATE EXPOSURE** — No secret in a repo, no secret in the front-end, no secret in logs, no secret in git history, no secret in error messages
3. **REDUCE BLAST RADIUS** — Least privilege, minimal scope, origin restrictions (IP/referrer/domain/app), quotas, rate limits, separation by environment
4. **MODERNIZE AUTHENTICATION** — Prefer short-lived tokens, OAuth 2.0, federation (OIDC), workload identity, secret managers; discourage long-lived keys
5. **DEPLOY GOVERNANCE** — Inventory (registry), mandatory rotation, recurring audits, anomaly detection, incident response, continuous compliance

## 1.2 Golden Rules (Never Break)

- **NEVER** ask the user to paste keys/tokens into the chat
- If the user pastes a key by mistake: treat it as an INCIDENT — direct immediate revocation and rotation
- Every secret must live ONLY in a Secret Manager/Vault/secure env and be injected at runtime
- NO client-side (browser/mobile) may contain an API key — zero exceptions
- Every token/key must have: owner, purpose, environment, TTL/expiration, restrictions, and a rotation plan
- Logs NEVER contain secrets — apply redaction to all output
- Principle of least privilege: if you don't need it, you don't have access

## 1.3 Security Mindset

Think like an attacker to defend like a professional:
- "If I leaked this key, what's the worst-case scenario?" — this question defines criticality
- "How long does it take to detect the leak?" — this defines the urgency of governance
- "Who else has access?" — this defines the blast radius
- "Is there a more secure alternative?" — this defines the modernization path

---

## 2.1 Types of Credentials (Complete Taxonomy)

| Category | Examples | Base Criticality |
|-----------|----------|-----------------|
| API Keys (strings) | OpenAI sk-*, Google AIza*, Stripe sk_live_* | CRITICAL |
| OAuth Secrets | client_id + client_secret | CRITICAL |
| Access/Refresh Tokens | Bearer tokens, JWT, refresh_token | HIGH |
| Service Account Keys | GCP JSON, AWS IAM credentials | CRITICAL |
| Webhook Secrets | signing secrets, HMAC keys | HIGH |
| JWT Signing Keys | private keys for signing | CRITICAL |
| SSH/TLS Keys | .pem, .p12, .key, id_rsa | CRITICAL |
| DB Credentials | connection strings, passwords | CRITICAL |
| Bot Tokens | Telegram bot token, Discord bot token | HIGH |
| App Secrets | Meta App Secret, Twitter API Secret | CRITICAL |
| Conversion/Pixel Tokens | Meta CAPI token, GA measurement secret | MEDIUM |
| Encryption Keys | AES keys, master keys | CRITICAL |
| Session Cookies | privileged session cookies | MEDIUM |
| CI/CD Tokens | GitHub PAT, GitLab tokens, deploy keys | HIGH |
| Cloud Provider Keys | AWS_ACCESS_KEY_ID, AZURE_CLIENT_SECRET | CRITICAL |

## 2.2 Where They Leak (Attack Surface)

**Code and Config:**
- `.env`, `.env.local`, `.env.production`, `.env.development`
- `config.js`, `config.ts`, `settings.json`, `firebase.json`, `appsettings.json`
- `docker-compose.yml`, `Dockerfile`, `k8s secrets`, `helm values`
- Hardcoded in source code (worst-case scenario)

**History and Versioning:**
- Git history (even after deletion — `git log --all`)
- Pull requests (code review containing secrets)
- Public forks of private repos

**Build and Deploy:**
- `dist/`, `.next/`, `build/`, `node_modules/` (dependencies with secrets)
- CI/CD logs (GitHub Actions, Jenkins, GitLab CI)
- Docker images (layers containing secrets)
- Terraform state files

**Runtime and Observability:**
- Accidental `console.log()` in production
- Error tracking (Sentry, Bugsnag) with stack traces containing secrets
- APM and tracing (Datadog, New Relic) capturing headers
- Log aggregators (ELK, CloudWatch)

**Human and Process:**
- Screenshots and screen recordings
- Tickets (Jira, Linear) with secrets pasted in
- Slack/Teams/email with shared keys
- Internal documentation (Confluence, Notion)
- Unencrypted backups (zip, tar, snapshots)

---

## Phase 0 — Reconnaissance (Map the Environment)

Before any action, understand the terrain:

```
CHECKLIST FASE 0:
[ ] Infraestrutura: VPS provider (Hostinger/AWS/GCP/etc), OS, acesso root?
[ ] Repositorios: GitHub/GitLab/Bitbucket? Publicos ou privados?
[ ] Linguagem principal: Node/TS, Python, Go, Java, etc?
[ ] Containerizacao: Docker? Docker Compose? Kubernetes?
[ ] CI/CD: GitHub Actions? Jenkins? GitLab CI?
[ ] Servicos externos: quais APIs usa (OpenAI, Meta, Telegram, GCP, etc)?
[ ] Secret management atual: .env? Vault? Secret Manager? Nenhum?
[ ] Equipe: quantas pessoas tem acesso? Quem administra credenciais?
[ ] Ambientes: dev/stage/prod separados?
[ ] Monitoramento: algum alerta de custo/uso?
```

## Phase 1 — Discovery (Deep Scan)

#### 1A. Code Scan (high-precision patterns)

```bash

## Scanner Principal — Padroes Regex De Alta Cobertura

rg -n --hidden --no-ignore -S \
  "(api[_-]?key|secret|token|bearer|authorization|x-api-key|client_secret|private_key|BEGIN PRIVATE KEY|BEGIN RSA|service_account|refresh_token|password\s*=|passwd|credential)" \
  . --glob '!node_modules' --glob '!.git' --glob '!*.lock'
```

#### 1B. Classic Secret Files

```bash

## Encontrar Arquivos Que Tipicamente Contem Segredos

find . -maxdepth 8 -type f \( \
  -name ".env" -o -name ".env.*" -o -name "*.pem" -o -name "*.p12" \
  -o -name "*.key" -o -name "*service-account*.json" \
  -o -name "*credentials*.json" -o -name "*.pfx" \
  -o -name "id_rsa*" -o -name "*.keystore" \
  -o -name "terraform.tfstate*" -o -name "*.tfvars" \
\) -print 2>/dev/null
```

#### 1C. Provider-Specific Patterns

```bash

## Openai (Sk-...)

rg -n "sk-[a-zA-Z0-9]{20,}" . --glob '!node_modules' --glob '!.git'

## Google Cloud (Aiza...)

rg -n "AIza[a-zA-Z0-9_-]{35}" . --glob '!node_modules' --glob '!.git'

## Aws (Akia...)

rg -n "AKIA[A-Z0-9]{16}" . --glob '!node_modules' --glob '!.git'

## Stripe (Sk_Live_...)

rg -n "sk_live_[a-zA-Z0-9]{20,}" . --glob '!node_modules' --glob '!.git'

## Meta/Facebook (Token Longo Numerico)

rg -n "EAA[a-zA-Z0-9]{50,}" . --glob '!node_modules' --glob '!.git'

## Telegram Bot Token

rg -n "[0-9]{8,10}:[a-zA-Z0-9_-]{35}" . --glob '!node_modules' --glob '!.git'

## Github Pat

rg -n "ghp_[a-zA-Z0-9]{36}" . --glob '!node_modules' --glob '!.git'

## Jwt (Eyj...)

rg -n "eyJ[a-zA-Z0-9_-]{10,}\\.eyJ[a-zA-Z0-9_-]{10,}" . --glob '!node_modules' --glob '!.git'

## Generic High-Entropy Strings (Possivel Segredo)

rg -n "['\"][a-zA-Z0-9+/]{40,}['\"]" . --glob '!*.lock' --glob '!node_modules' --glob '!.git'
```

#### 1D. Git History (where things get nasty)

```bash

## Buscar Segredos Em Todos Os Commits

git log --all --oneline | head -50

## Padroes Especificos No Historico

git grep -n "sk-"   $(git rev-list --all) 2>/dev/null | head -20
git grep -n "AIza"  $(git rev-list --all) 2>/dev/null | head -20
git grep -n "AKIA"  $(git rev-list --all) 2>/dev/null | head -20
git grep -n "BEGIN PRIVATE KEY" $(git rev-list --all) 2>/dev/null | head -20
git grep -n "password" $(git rev-list --all) 2>/dev/null | head -20

## Diffs Que Removeram Segredos (Sinal De Vazamento Anterior)

git log --all -p --diff-filter=D -- "*.env" "*.pem" "*.key" 2>/dev/null | head -50
```

#### 1E. Docker and Containers

```bash

## Listar Images Locais

docker images --format "{{.Repository}}:{{.Tag}}" 2>/dev/null | head -20

## Checar Docker-Compose Por Segredos Inline

rg -n "(password|secret|token|key)" docker-compose*.yml 2>/dev/null
```

#### 1F. Environment Variables (without exposing values)

```bash

## Listar Nomes De Variaveis Suspeitas (Sem Valores!)

env | rg -i "(openai|gcp|google|meta|facebook|whatsapp|telegram|token|secret|key|password|credential|api)" | sed 's/=.*/=***REDACTED***/'
```

#### 1G. CI/CD and Pipelines

```bash

## Github Actions — Checar Se Secrets Estao Sendo Logados

rg -rn "echo.*\$\{\{.*secrets" .github/ 2>/dev/null
rg -rn "env:.*\$\{\{.*secrets" .github/ 2>/dev/null

## Checar Se .Env Esta Sendo Copiado No Ci

rg -n "\.env" .github/workflows/ Jenkinsfile .gitlab-ci.yml 2>/dev/null
```

## Phase 2 — Risk Classification

For each finding, classify it using this matrix:

| Level | Criterion | Action | SLA |
|-------|----------|------|-----|
| **P0 — CRITICAL** | Secret confirmed exposed in a public repo or production | Revoke NOW, rotate, notify | < 1 hour |
| **P1 — HIGH** | Secret in a private repo, git history, or CI logs | Revoke, rotate, clean history | < 24 hours |
| **P2 — MEDIUM** | Excessive permissions, unrestricted key, no rotation | Restrict, add restrictions, schedule rotation | < 1 week |
| **P3 — LOW** | Dormant key, no identified owner, missing best practice | Document, assign owner, plan improvement | < 1 month |

**Criticality Formula:**
```
Criticidade = (Exposicao x Privilegio x Blast_Radius) / Tempo_Deteccao
- Exposicao: publico(10), privado-multi(7), privado-solo(4), vault(1)
- Privilegio: admin(10), write(7), read(4), minimal(1)
- Blast_Radius: producao-all(10), producao-parcial(7), staging(4), dev(1)
- Tempo_Deteccao: sem_monitoramento(10), semanal(5), diario(2), realtime(1)
```

## Phase 3 — Containment (Immediate Action)

For P0 and P1, execute immediately:

1. **Revoke** — invalidate the key/token in the provider dashboard
2. **Rotate** — generate a new credential with minimal scope
3. **Replace** — update every location that uses the old credential
4. **Verify** — confirm services are working again with the new credential
5. **Clean** — remove it from git history if necessary:
   ```bash
   # BFG Repo-Cleaner (mais seguro que filter-branch)
   # java -jar bfg.jar --replace-text passwords.txt repo.git
   # Ou git filter-repo para remover arquivos
   ```

## Phase 4 — Hardening (Deep Protection)

#### 4.1 Universal Rules (all APIs)

**Rule 1: NEVER put a key in the front-end**
- Browser/mobile = hostile environment. If the key shows up in the JS delivered to the user, it's already gone.
- Gold-standard solution: API Gateway/Proxy on the VPS
- The front-end calls YOUR endpoint → your VPS calls the provider with the secret held in a Secret Store

**Rule 2: Separation by environment**
- DEV, STAGING, PROD with DIFFERENT keys and different accounts when possible
- If DEV leaks, PROD doesn't go down with it
- Naming: `OPENAI_API_KEY_DEV`, `OPENAI_API_KEY_PROD`

**Rule 3: Restriction and minimal scope**
- IP allowlist (when supported)
- Domain/referrer restriction
- Bundle ID (mobile)
- Allowed APIs/scopes (minimum necessary)
- If the provider doesn't support it: create restrictions in the proxy (rate limit + auth + quotas)

**Rule 4: Rotation and expiration**
- Every key has a defined lifetime (30-90 days depending on criticality)
- Keys with no owner and no date = dangerous garbage → revoke
- Calendar reminders for rotation

**Rule 5: Observability without exposure**
- Budget/anomaly alerts per provider
- Audit logs WITHOUT secrets (redaction mandatory)
- Thresholds to cut off abuse automatically
- Consolidated cost dashboard

**Rule 6: Defense in Depth**
- Multiple layers: proxy + rate limit + auth + IP restriction + quota + monitoring
- If one layer fails, the others hold

#### 4.2 Server-Side Proxy Architecture

```
[Cliente/Browser]
       |
       v
[Seu Proxy (VPS)] ← autenticacao do usuario (JWT/session)
       |             rate limiting por usuario/rota
       |             logging (sem segredos)
       |             quota por ambiente
       |             kill switch
       v
[API do Provedor] ← chave injetada do Secret Store
```

Folder structure on the VPS:
```
/opt/api-gateway/
  /src/
    server.js          # Express/Fastify proxy
    middleware/
      auth.js          # JWT/session validation
      rateLimit.js     # Rate limiting por rota/usuario
      quota.js         # Quotas por ambiente/usuario
    

## Phase 5 — Continuous Governance

#### 5.1 Secret Registry (data model)

Keep a living record of ALL credentials:

```json
{
  "registry_version": "1.0",
  "last_audit": "2026-03-03T00:00:00Z",
  "secrets": [
    {
      "secret_id": "openai-prod-main",
      "provider": "openai",
      "type": "api_key",
      "environment": "production",
      "owner": "backend-team",
      "purpose": "GPT-4 chat completions para app principal",
      "storage_location": "vps-env-secure",
      "created_at": "2026-01-15",
      "expires_at": "2026-04-15",
      "last_rotated_at": "2026-01-15",
      "rotation_policy_days": 90,
      "restrictions": {
        "ip_allowlist": ["203.0.113.10"],
        "rate_limit": "100/min",
        "budget_monthly_usd": 500
      },
      "criticality": "P1",
      "status": "active",
      "last_verified": "2026-03-01",
      "notes": ""
    }
  ]
}
```

#### 5.2 Governance Routines

**Weekly (15 min):**
- Look for new unregistered keys
- Keys unused for 30 days → investigate → revoke if inactive
- Excess permissions → reduce
- Check cost/anomaly alerts

**Monthly (1 hour):**
- Full audit of the registry
- Check upcoming expirations (< 30 days)
- Review the blast radius of each credential
- Update security documentation
- Test kill switches and rollback procedures

**Quarterly (2 hours):**
- Rotation of ALL critical credentials
- Security architecture review
- Basic pen test (full scan)
- Update provider playbooks
- Team training (if applicable)

#### 5.3 Anti-Regression (Pre-commit + CI)

**Pre-commit hook (.pre-commit-config.yaml):**
```yaml
repos:
  - repo: local
    hooks:
      - id: secret-scan
        name: Secret Scanner
        entry: python scripts/secret_scanner.py
        language: python
        types: [text]
        stages: [commit]
```

**CI Check (GitHub Actions):**
```yaml
name: Secret Scan
on: [pull_request]
jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/

## 4.1 Openai

**Typical risk:** Leaked key → uncontrolled usage/cost → thousands of dollars in hours.

**Hardening:**
- Key ONLY on the server (VPS) — never in the front-end
- Create keys per project/environment (never a single key for everything)
- Use Organization API keys (not personal ones) when possible
- Proxy with: rate limit per IP/user, per-model limits (gpt-4 is more expensive), usage logs, kill switch
- Configure usage limits in the OpenAI dashboard
- Monitor the usage API: `GET /v1/usage` or the dashboard

**OpenAI Checklist:**
```
[ ] Nenhuma chave no front-end
[ ] Chaves separadas por ambiente (dev/prod)
[ ] Usage limits configurados no dashboard
[ ] Proxy server-side com rate limiting
[ ] Monitoramento de custo/uso ativo
[ ] Rotacao a cada 90 dias
[ ] Alertas de anomalia de consumo
```

## 4.2 Google Cloud (Gcp)

**Typical risk:** Leaked service account key JSON = full access to cloud resources.

**Hardening:**
- Use Secret Manager to store credentials
- AVOID long-lived service account keys — prefer Workload Identity Federation
- Apply least privilege (minimal IAM — use the IAM Recommender)
- Remove unused permissions
- Rotate and expire service account keys
- Configure budget alerts + billing anomaly detection
- Keep essential contacts up to date
- Enable VPC Service Controls when applicable

**GCP Checklist:**
```
[ ] Nenhum JSON de service account no repo
[ ] Workload Identity Federation quando possivel
[ ] IAM minimo (usar Recommender)
[ ] Chaves dormantes deletadas
[ ] Budget alerts configurados
[ ] Secret Manager em uso
[ ] Audit logs ativados
```

## 4.3 Meta (Whatsapp / Facebook / Instagram)

**Typical risk:** Leaked App Secret/token + poorly validated webhooks = control of the integration.

**Hardening:**
- App Secret and tokens ONLY in the backend
- Webhooks with signature validation (HMAC-SHA256) — MANDATORY
- Review permissions/roles in Business Manager — principle of least privilege
- Tokens separated by environment
- Rotate tokens and review active apps periodically
- Limit allowed callbacks/domains in the app settings
- System User tokens for automations (not personal tokens)

**Meta Checklist:**
```
[ ] App Secret/tokens fora do client-side
[ ] Webhook com validacao HMAC-SHA256
[ ] Permissoes minimas no Business Manager
[ ] System User tokens (nao pessoais)
[ ] Dominios de callback restritos
[ ] Tokens por ambiente
[ ] Revisao trimestral de apps ativos
```

## 4.4 Telegram (Bots)

**Typical risk:** Leaked bot token = full control of the bot (reading messages, sending spam).

**Hardening:**
- Bot token ONLY in the backend
- Webhook with secret_token and validation
- Rate limiting and anti-spam
- Logs WITHOUT exposing the full update (it may contain sensitive user data)
- Use webhooks (not polling) in production
- Set allowed_updates to receive only what's needed

**Telegram Checklist:**
```
[ ] Token so server-side
[ ] Webhook com secret_token
[ ] Validacao de IP (Telegram IPs: 149.154.160.0/20, 91.108.4.0/22)
[ ] Rate limiting ativo
[ ] Allowed_updates configurado (minimo necessario)
[ ] Logs redacted
```

## 4.5 Aws

**Typical risk:** Leaked AWS_ACCESS_KEY_ID + SECRET = unlimited access to the cloud.

**Hardening:**
- NEVER use root account keys
- IAM roles > IAM users > long-lived keys
- MFA mandatory on all accounts
- SCP (Service Control Policies) to limit blast radius
- CloudTrail enabled for auditing
- GuardDuty for anomaly detection
- Automatic rotation via Secrets Manager

**AWS Checklist:**
```
[ ] Zero root account keys
[ ] IAM roles preferenciais
[ ] MFA em todas as contas
[ ] CloudTrail ativado
[ ] Secrets Manager em uso
[ ] Budget alerts configurados
```

## 4.6 Stripe / Payments

**Typical risk:** Leaked sk_live_ = the ability to create charges, refunds, and access customer data.

**Hardening:**
- Restricted keys with minimal permissions
- Webhook signing secret validated on EVERY request
- Test mode (sk_test_) for dev — NEVER sk_live_ in dev
- IP restriction when possible
- Audit logs from the Stripe dashboard

**Stripe Checklist:**
```
[ ] sk_live_ so em producao, so server-side
[ ] Restricted keys com escopo minimo
[ ] Webhook signature validation
[ ] IP restriction ativa
[ ] Logs de auditoria revisados
```

---

## /Audit (Audit_All)

Run full discovery and generate a report:
1. Run ALL Phase 1 scans
2. Classify each finding (Phase 2)
3. Generate a report with executive summary + inventory + actions

## /Lockdown (Lockdown_All)

Apply hardening and anti-regression across the whole ecosystem:
1. Check each credential against the provider checklist
2. Apply missing restrictions
3. Install pre-commit hooks
4. Configure CI checks
5. Generate a hardening report

## /Rotate (Rotate_All)

Guided rotation plan and execution:
1. List all credentials with overdue or upcoming rotation
2. Generate a rotation plan (order, dependencies, rollback)
3. Guide step-by-step execution (without touching secrets directly)
4. Update the registry

## /Incident (Incident_Mode)

Immediate response to a leak/abuse:
1. **CONTAIN** — Revoke the key/token, disable webhooks, lock the proxy (kill switch)
2. **ERADICATE** — Remove it from the code, rewrite git history, broad scan
3. **RECOVER** — Generate new credentials with minimal scope, redeploy
4. **LEARN** — Add an anti-regression rule, post-mortem, update the playbook

## /Govern (Set_Governance)

Create/update registry + policies + routines:
1. Create/update the secret registry JSON
2. Define policies by criticality
3. Schedule routines (weekly/monthly/quarterly)
4. Configure alerts and dashboards

## /Status

Quick view of security health:
1. Total credentials in the registry
2. How many expire in < 30 days
3. How many lack adequate restrictions
4. Last audit and next scheduled one
5. Open incidents

---

## 6. Delivery Format (Always)

Every audit/action response follows this structure:

```
A) SUMARIO EXECUTIVO
   - Top riscos (P0/P1) com acao imediata
   - Score geral de seguranca (0-100)
   - Tendencia (melhorando/estavel/piorando)

B) INVENTARIO DE CREDENCIAIS
   - Tipos encontrados
   - Locais de armazenamento
   - Criticidade por item

C) PLANO DE CORRECAO (por prioridade)
   - P0: acao AGORA
   - P1: acao em 24h
   - P2: acao em 1 semana
   - P3: acao em 1 mes

D) PLAYBOOKS POR PROVEDOR
   - Checklist especifico
   - Comandos/passos exatos

E) AUTOMACAO
   - Scripts de varredura
   - Pre-commit hooks
   - CI checks
   - Rotina semanal/mensal

F) SECRET REGISTRY
   - JSON atualizado
   - Politica de governanca
```

---

## 7.1 Severity And Response Time

| Severity | Description | SLA | Who |
|-----------|-----------|-----|------|
| SEV-1 | Admin/root key leaked publicly | < 15 min | Whole team |
| SEV-2 | Production token exposed in a private repo | < 1 hour | Dev + Ops |
| SEV-3 | Dev key exposed, limited permissions | < 4 hours | Responsible dev |
| SEV-4 | Potential exposure, not confirmed | < 24 hours | Responsible dev |

## 7.2 4-Step Protocol

**1. CONTAIN (immediate)**
```bash

## Bloquear Ip/Origem Suspeita

```

**2. ERADICATE (< 1 hour)**
```bash

## Verificar Se Nao Ha Copias Em Backups/Forks/Mirrors

```

**3. RECOVER (< 4 hours)**
```bash

## Atualizar Registry

```

**4. LEARN (< 48 hours)**
```bash

## Verificar Custos/Cobranças Anomalos Nos Provedores

```

---

## 8.1 Secret Scanner (Python)

Located at: `scripts/secret_scanner.py`
- File scan with 30+ regex patterns
- Provider-specific detection (OpenAI, GCP, AWS, Meta, Telegram, Stripe, etc.)
- CI mode (--ci) with a non-zero exit code on a hit
- Pre-commit mode (--staged) to check only staged files
- JSON or text output

## 8.2 Registry Manager

Located at: `scripts/registry_manager.py`
- CRUD of entries in the secret registry
- Expiration alerts
- Status report
- CSV export for auditing

## 8.3 Pre-Commit Hook

Located at: `scripts/pre_commit_hook.sh`
- Wrapper for secret_scanner.py in staged mode
- Blocks the commit if it finds a secret
- Clear message on how to resolve it

## 8.4 Audit Report Generator

Located at: `scripts/audit_report.py`
- Runs all scans
- Generates a formatted report (markdown)
- Includes a security score
- Per-provider suggestions

---

## 9.1 Directory Structure

```
/opt/
  /api-gateway/        # Proxy server-side
  /secrets/            # Referencias (NUNCA segredos em arquivo!)
  /audit/              # Scripts de varredura + relatorios
  /logs/               # Logs com redaction

/home/<user>/
  /apps/               # Seus projetos
  /.env.production     # Segredos (chmod 600)

/etc/
  /systemd/system/     # Services para proxy e apps
```

## 9.2 Security Standard On The Vps

```
1. Firewall (ufw/iptables):
   - Permitir: 80, 443, 22 (com fail2ban)
   - Bloquear todo o resto

2. SSH:
   - Desabilitar login por senha
   - Usar chaves SSH apenas
   - fail2ban ativo

3. Segredos:
   - .env com chmod 600, owner root
   - Ou usar Docker secrets / environment
   - NUNCA em arquivos acessiveis pela web

4. Proxy:
   - Rate limit por rota
   - Auth JWT/session obrigatorio
   - Logs sem segredos
   - Kill switch (desligar proxy rapidamente)

5. Monitoramento:
   - Alertas de custo por provedor
   - Alertas de uso anomalo
   - Health checks automaticos
```

---

## 10.1 Cross-Cutting Behavior

This skill operates in a CROSS-CUTTING way — even when other skills are active:

- If during ANY task it detects a key exposed in code → alert immediately
- If a user asks to "put the key in config.js" → explain the risk and offer a secure alternative
- If it detects a .env being committed → block it and direct the user to .gitignore
- If it sees hardcoded credentials → suggest refactoring to env vars

## 10.2 Automatic Warning Signs

Watch for these signs during ANY operation:
- Strings that look like keys/tokens in code
- .env files being created without a corresponding .gitignore
- Docker commands that copy .env into the image
- CI/CD configs that echo ${{ secrets.* }}
- Front-end code that references API keys directly

---

## Security Score (0-100)

| Dimension | Weight | Criterion |
|----------|------|----------|
| Zero Exposure | 25% | No secret in repo/front-end/logs |
| Least Privilege | 20% | All credentials with minimal scope |
| Rotation | 15% | All within the rotation policy |
| Restrictions | 15% | IP/domain/scope applied |
| Monitoring | 10% | Cost/anomaly alerts active |
| Governance | 10% | Registry complete and up to date |
| Anti-regression | 5% | Pre-commit + CI active |

## Formula

```
Score = SUM(dimensao_peso * dimensao_score)
onde dimensao_score = (itens_ok / itens_total) * 100
```

---

## Complementary Skills

| Skill | Integration |
|-------|-----------|
| **007** | Threat modeling + Red Team — cred-omega handles secrets, 007 handles architecture |
| **instagram** | Protection of Meta tokens, Graph API secrets |
| **whatsapp-cloud-api** | Protection of WABA tokens, webhook secrets |
| **telegram** | Protection of bot tokens |
| **ai-studio-image** | Protection of Google API keys |
| **stability-ai** | Protection of Stability API keys |
| **context-agent** | Persist audit state across sessions |
| **skill-sentinel** | Audit the security of the skills themselves |

## When Another Skill Should Call Cred-Omega

Any skill that deals with external APIs should consult cred-omega to:
1. Validate that credentials are stored securely
2. Check for adequate restrictions
3. Confirm presence in the registry
4. Verify that rotation is up to date

## Best Practices

- Provide clear, specific context about your project and requirements
- Review all suggestions before applying them to production code
- Combine with other complementary skills for comprehensive analysis

## Common Pitfalls

- Using this skill for tasks outside its domain expertise
- Applying recommendations without understanding your specific context
- Not providing enough project context for accurate analysis

## Related Skills

- `007` - Complementary skill for enhanced analysis