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 tatagoncalvesof/imperatriz-toolkit --skill dossie-mentoradagit clone --depth 1 https://github.com/tatagoncalvesof/imperatriz-toolkitWrote 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/dossie-mentorada)<a href="https://agentmods.dev/skills/tatagoncalvesof/imperatriz-toolkit/dossie-mentorada"><img src="https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/dossie-mentorada/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/dossie-mentorada"><img src="https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/dossie-mentorada.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 | $0.00091 | $0.02944 |
| Opus 5 | $0.00046 | $0.01472 |
| Sonnet 5 | $0.00018 | $0.00589 |
| Haiku 4.5 | $0.00009 | $0.00294 |
Grade A, and why
dossie-mentorada 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 11d 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOSSIE-MENTORADA — Sistema de Memória da Travessia
"Quem não tem dossiê não tem mentorada — tem desconhecida pagando."
FILOSOFIA CENTRAL
A dossie-mentorada é a espinha dorsal do ecossistema Tata Gonçalves. Ela é o Pilar 1 (Dados) da Travessia Imperatriz e existe pra resolver UM problema crítico:
Sem memória persistente, cada skill pergunta tudo de novo. Mentorada cansa, fica inconsistente, e o ecossistema "esquece" quem ela é.
Solução: estrutura única em ~/imperio/mentoradas/[nome]/ com 19 arquivos JSON. Cada skill grava seu output ali. Cada skill lê dali antes de gerar.
QUANDO USAR
- Primeira ativação: quando mentorada nova entra (Porta A) —
--criar - Toda skill que produz output: grava no dossiê —
--gravar - Toda skill que precisa contexto: lê do dossiê —
--ler - Auditoria periódica: verificar consistência —
--sincronizar - Visão Tata: ver status atual da mentorada —
--status
REGRA CRÍTICA
Antes de qualquer skill operar pela 1ª vez na mentorada, o dossiê DEVE estar criado. Se não existe, o orquestrador tatou-2.0 força criação automática antes de prosseguir.
OS 7 MODOS DE OPERAÇÃO
--criar [nome-mentorada]
Inicializa estrutura completa em ~/imperio/mentoradas/[nome]/ com os 19 arquivos JSON em estado vazio (schema válido, conteúdo nulo).
--ler [nome] [arquivo]
Retorna conteúdo de um profile específico. Ex: --ler tata 03-voz-de-marca retorna voz de marca da Tata.
--gravar [nome] [arquivo] [conteudo]
Grava output estruturado de uma skill no profile correspondente. Hook automático: toda skill com output → grava ao concluir.
--status [nome]
Mostra dashboard rápido: porta atual + nível hierárquico + KPIs do mês + próximo passo recomendado.
--sincronizar [nome]
Valida consistência entre profiles. Detecta inconsistências (ex: voz mencionada em posicionamento diferente da voice profile). Reporta gaps.
--listar
Lista todas as mentoradas do ecossistema com status resumido. Pra Tata enxergar a Corte inteira.
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.
- 11d ago First seen · 259 lines · 91 tokens per session scan A e7a346257862
dossie-mentorada is a skill published in the GitHub repository tatagoncalvesof/imperatriz-toolkit (2 stars, last pushed 3mo ago), licensed MIT. It adds 91 tokens to every session and 2,944 once invoked, about $0.0005 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
apply
Use when a staged proposal has been reviewed and signed off — REVIEW.md Step 3 ticked reviewed or provisional — and is ready to promote into the live contextualizer.
pm-engine
Interface with the PM-ENGINE-MEMORY file — the operator's accumulated PM tacit knowledge database. Enables agents to reference, search, and apply TK (Tacit Knowledge) entries, and supports TK extraction from experience (--mode extract), TK querying and referencing (--mode query), and TK-to-instruction conversion…
maintaining-project-context
Use when completing development phases or branches to identify and update CLAUDE.md or AGENTS.md files that may have become stale - analyzes what changed, determines affected contracts and documentation, and coordinates updates.
memory-arch
Design an agent memory system — working memory, episodic memory, semantic memory, and procedural memory. Use when building agents that need to remember context across sessions, learn from interactions, or maintain persistent knowledge. Covers storage strategy, retrieval patterns, and context management.
vibe-session-context-flush
Performs smart context summarization when the context window is approaching capacity. Identifies what to keep, what to summarize, and creates a compact resume state.
vibe-debugging-journal
Records resolved bugs in a persistent journal — symptom, root cause, difficulty, fix, prevention. Organized by category for future reference.