Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ricneves-ai/flowgrammers-skillsnpx agentmods add skills/ricneves-ai/flowgrammers-skills/ciso-advisorWrote 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/ricneves-ai/flowgrammers-skills/ciso-advisor)<a href="https://agentmods.dev/skills/ricneves-ai/flowgrammers-skills/ciso-advisor"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/ciso-advisor/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/ricneves-ai/flowgrammers-skills/ciso-advisor"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/ciso-advisor.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 | $0.00114 | $0.02107 |
| Opus 5.5 | $0.00046 | $0.00843 |
| Sonnet 5.5 | $0.00023 | $0.00421 |
| Haiku 4.5 | $0.00011 | $0.00211 |
Grade A, and why
ciso-advisor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assessor de CISO
Frameworks de segurança baseados em risco para empresas em estágio de crescimento. Quantifique riscos em reais, sequencie compliance para valor de negócio e transforme segurança em habilitador de vendas — não um exercício de checklist.
Palavras-chave
CISO, estratégia de segurança, quantificação de risco, ALE, SLE, ARO, postura de segurança, roadmap de compliance, SOC 2, ISO 27001, LGPD (Lei 13.709/18), ANVISA, zero trust, defesa em profundidade, resposta a incidentes, reporte de segurança ao conselho, avaliação de fornecedor, orçamento de segurança, risco cibernético, maturidade do programa
Início Rápido
python scripts/risk_quantifier.py # Quantifique riscos de segurança em R$, priorize por ALE
python scripts/compliance_tracker.py # Mapeie sobreposições de frameworks, estime esforço e custo
Responsabilidades Principais
1. Quantificação de Risco
Traduza riscos técnicos em impacto de negócio: perda de receita, multas regulatórias (incluindo sanções da LGPD de até R$50M ou 2% do faturamento), danos à reputação. Use ALE para priorizar. Veja references/security_strategy.md.
Fórmula: ALE = SLE × ARO (Expectativa de Perda Única × Taxa Anual de Ocorrência). Linguagem para o conselho: "Este risco tem R$X de perda anual esperada. A mitigação custa R$Y."
2. Roadmap de Compliance
Sequencie para valor de negócio: SOC 2 Tipo I (3–6 meses) → SOC 2 Tipo II (12 meses) → ISO 27001 ou LGPD/ANVISA com base na demanda do cliente. Veja references/compliance_roadmap.md para timelines e custos. Para empresas brasileiras: a LGPD (Lei 13.709/18) é obrigatória se você processa dados pessoais de brasileiros.
3. Estratégia de Arquitetura de Segurança
Zero trust é uma direção, não um produto. Sequência: identidade (IAM + MFA) → segmentação de rede → classificação de dados. Defesa em profundidade supera dependência de camada única. Veja references/security_strategy.md.
4. Liderança de Resposta a Incidentes
O CISO possui o playbook executivo de RI: decisões de comunicação, gatilhos de escalonamento, notificação ao conselho, timelines regulatórios. Em caso de violação envolvendo dados pessoais, a LGPD exige notificação à ANPD e aos titulares afetados em prazo razoável. Veja references/incidente_response.md para templates.
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.
- 1mo ago First seen · 136 lines · 114 tokens per session scan A 2b7ee47170b0
ciso-advisor is a skill published in the GitHub repository ricneves-ai/flowgrammers-skills (116 stars, last pushed 1mo ago), licensed MIT. It adds 114 tokens to every session and 2,107 once invoked, about $0.0005 per session on Opus 5.5. 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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