Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/tatagoncalvesof/imperatriz-toolkit/raci-imperatriz)<a href="https://agentmods.dev/skills/tatagoncalvesof/imperatriz-toolkit/raci-imperatriz"><img src="https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/raci-imperatriz/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/tatagoncalvesof/imperatriz-toolkit/raci-imperatriz"><img src="https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/raci-imperatriz.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 | $0.00310 | $0.04328 |
| Opus 5 | $0.00155 | $0.02164 |
| Sonnet 5 | $0.00062 | $0.00866 |
| Haiku 4.5 | $0.00031 | $0.00433 |
Grade A, and why
raci-imperatriz 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 12d 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 — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RACI Imperatriz — Pilar 3 da Travessia Imperatriz
Esta skill e o motor de execucao da Travessia Imperatriz. Enquanto a tatou-2.0 decide ONDE a mentorada esta e PRA ONDE ela vai, a raci-imperatriz decide QUEM faz, QUANTO TEMPO leva e QUANTO CUSTA cada movimento.
Filosofia central
Estrategia sem execucao e fantasia. Execucao sem RACI vira gargalo na mentorada.
Toda mentorada que trava na Travessia trava por uma razao operacional: nao sabe distinguir o que ELA faz, o que o TIME faz, o que o AGENTE IA faz, o que a TATA orienta e o que precisa TERCEIRIZAR. RACI Imperatriz resolve isso porta-a-porta.
Quando usar
- Mentorada esta prestes a entrar numa nova porta (ex: vai construir Porta H — Site)
- Mentorada esta travada porque "nao tem tempo" — sintoma classico de R mal alocado
- Mentorada quer planejar trimestre/semestre — precisa de cronograma + orcamento
- Mentorada esta contratando time e quer saber pra onde alocar
- Mentorada esta avaliando terceirizar (designer, dev, copywriter, social media)
- Tata quer auditar se mentorada esta fazendo coisa que deveria delegar
- Antes de rodar
/tatou-2.0quando a duvida e operacional, nao estrategica
Os 5 atores (definidos em ordem de prioridade)
1. Mentorada — Decisao estrategica + validacao final
- O que SO ela pode fazer: posicionamento, mecanismo unico (input bruto), historia pessoal, decisao de oferta, validacao de copy final, calls 1:1 high-ticket, voz de marca
- Carga ideal por porta: 2-8h/semana de trabalho focado dela mesmo
- Sinal de alerta: se ela esta como R em mais de 4 skills da mesma porta, esta sobrecarregada
2. Time da mentorada — Operacional humano
- Perfis tipicos: assistente executiva, social media, gestor de trafego in-house, atendente, editor de video
- O que faz: tarefas que precisam de julgamento humano mas nao precisam ser dela
- Quando aparece: a partir de Porta F-G (mentorada ja faturando 30k+/mes)
- Custo: R$2.000-15.000/mes por pessoa CLT/PJ
3. Agente IA — Tarefa repetitiva, padronizavel
- O que faz: gera variacoes (headlines, copy, posts), audita, transcreve, organiza, pesquisa, sumariza
- O que NAO faz: decisao final, voz de marca sem treino, pitch high-ticket, atendimento humanizado
- Carga: 70-80% da carga de copy/conteudo pode ir pra ele
- Custo: R$0-500/mes em APIs (Claude, Gemini, GPT, ferramentas)
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 393 lines · 310 tokens per session scan A 49c41425891d
raci-imperatriz is a skill published in the GitHub repository tatagoncalvesof/imperatriz-toolkit (2 stars, last pushed 3mo ago), licensed MIT. It adds 310 tokens to every session and 4,328 once invoked, about $0.0015 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 2026-08-31.
Other skills, from other repositories
codex-setup
Initialize sd0x-dev-flow infrastructure for Codex CLI and other non-Claude agents. Generates AGENTS.md, installs the commit-msg hook, copies runner scripts. The pre-push gate is opt-in via --with-push-gate. Use when setting up a new project or after updating skills.
smart-rebase
Smart partial rebase for squash-merge repositories. Auto-detect which commits to keep/drop when base branch was squash-merged into target. Use when: user says 'rebase', 'partial rebase', 'base already merged', 'smart rebase', or /smart-rebase. Not for: simple git rebase (the developer runs it — Claude never executes…
test-review
Test coverage review via Codex exec. Use when: reviewing test sufficiency, identifying coverage gaps, test quality audit. Not for: generating tests (use codex-test-gen), code review (use codex-code-review). Output: coverage analysis + gap report.
debug
Interactive debugging workflow with hypothesis-driven probe loop. Use when: unknown bugs, script errors, silent failures, troubleshooting. Not for: known bugs (use bug-fix), GitHub issue analysis (use issue-analyze), code understanding (use code-explore). Output: debug report with probe journal + root cause + fix.
runbook
Generate and update feature release runbooks from existing docs and codebase. Use when: creating operational runbook, release handbook, deployment checklist, pre-release preparation. Not for: incident response (v2), code review (use codex-code-review), architecture design (use architecture).
feature-dev
Feature development workflow. Use when: implementing features, writing code, running dev loop. Not for: understanding code (use code-explore), reviewing code (use codex-code-review). Output: implemented feature + tests + review gate.