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 andregusman-raiz/a-gusman-claude --skill ag-referencia-seguranca-rulesgit clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claudeWrote 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/andregusman-raiz/a-gusman-claude/ag-referencia-seguranca-rules)<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-referencia-seguranca-rules"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-seguranca-rules/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/andregusman-raiz/a-gusman-claude/ag-referencia-seguranca-rules"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-seguranca-rules.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 | $0.00047 | $0.00384 |
| Opus 5 | $0.00023 | $0.00192 |
| Sonnet 5 | $0.00009 | $0.00077 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
ag-referencia-seguranca-rules 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 9d 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.
What it actually says
Seguranca — Regras Inegociaveis
Banco de Dados
- RLS (Row Level Security) ativo em TODAS as tabelas, sem excecao
- Audit trail obrigatorio: tabela
audit_logscom JSONB (quem, o que, quando, onde, resultado) - Migrations sequenciais — nunca pular numeracao
- Indices desde o inicio (nao como afterthought)
Dados
- NUNCA logar: password, token, secret, apiKey, creditCard, PII
- LGPD: Base legal para cada tratamento, direito ao esquecimento, minimizacao de dados
- Mascaramento automatico de PII em contexto de IA
Niveis de Permissao (quando aplicavel)
| Nivel | Acesso |
|---|---|
| superadmin | Acesso total, gerencia usuarios |
| core_team | Projetos internos |
| external_agent | Projetos atribuidos |
| client | Somente leitura |
Checklist de Seguranca para Novas Features
- RLS policies definidas para todas as tabelas novas?
- Audit log implementado para operacoes sensiveis?
- PII mascarado em logs e contexto de IA?
- Base legal LGPD documentada para tratamento de dados?
- Secrets em env vars (nunca hardcoded)?
- Input validation com Zod em todos os endpoints?
Playbook detalhado:
.claude/Playbooks/04_Seguranca_By_Design.md
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.
- 9d ago First seen · 39 lines · 47 tokens per session scan A f9e7042aec80
ag-referencia-seguranca-rules is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (19 stars, last pushed 3d ago), licensed MIT. It adds 47 tokens to every session and 384 once invoked, about $0.0002 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 2026-09-03.
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