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.
git clone --depth 1 https://github.com/PedroHenrique0713/brain-templateWrote 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/commands/pedrohenrique0713/brain-template/handon_chat)<a href="https://agentmods.dev/commands/pedrohenrique0713/brain-template/handon_chat"><img src="https://agentmods.dev/badge/commands/pedrohenrique0713/brain-template/handon_chat/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/commands/pedrohenrique0713/brain-template/handon_chat"><img src="https://agentmods.dev/badge/commands/pedrohenrique0713/brain-template/handon_chat.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 | $0.00000 | $0.00495 |
| Opus 5.5 | $0.00000 | $0.00198 |
| Sonnet 5.5 | $0.00000 | $0.00099 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
handon_chat 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 28d 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
Retome o contexto carregando a tarefa pedida.
- ARGS = o que o usuário passou (ex: "T001", "site", "migração")
- Uma tarefa são dois arquivos em
07 - HANDOVERS/Tarefas/: o estadoT0XX - nome.mde o logT0XX - nome.log.md. Nas buscas, ignore os.log.md.
Modo A — com argumento
- Procure em
07 - HANDOVERS/Tarefas/*.md(sem os.log.md) o arquivo cujo nome contém ARGS (sem diferenciar maiúsculas, parcial vale). Não achou? Procure emTarefas/Arquivo/; se for retomada de tarefa encerrada, mova os dois arquivos de volta e reabra comoativa. - Leia o estado inteiro. Se passar de ~20 KB (formato antigo), leia o frontmatter e as seções de Objetivo, Estado, Próximo passo, Decisões e Armadilhas, e avise que a tarefa será reorganizada no próximo
/handover_chat. - Do log, leia só as 2 últimas entradas (
grep -n "^### "e leitura a partir da penúltima). - Apresente:
## Tarefa retomada — {ID} | {TÍTULO}
**Projeto:** {projeto} | **Status:** {status}
{se aguardando: "**Esperando:** {bloqueio}"}
### Objetivo
### Estado agora
### Próximo passo
### Última sessão
### Contexto técnico (condensado)
---
*Tarefa {ID} carregada. Pode começar pelo "Próximo passo".*
Modo B — sem argumento
- Rode
python3 "03 - RESOURCES/Scripts/gerar-ativas.py"e leia07 - HANDOVERS/ATIVAS.md. - Mostre a tabela (ativas não paradas primeiro) e pergunte: "Qual tarefa iniciar?"
- Com o ID escolhido, execute o Modo A.
Depois de carregar, mantenha o contexto para o resto da sessão sem repeti-lo a cada resposta.
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.
- 28d ago Changed · -11 lines · -16 tokens per session af56719270dc
- 1mo ago First seen · 51 lines · 16 tokens per session scan A bc32bd8aca35
handon_chat is a command published in the GitHub repository PedroHenrique0713/brain-template (1 stars, last pushed 15d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 495 tokens. 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 commands, from other repositories
wiki-query
Ask questions against the wiki. Synthesizes answers from wiki pages with cross-reference citations.
wiki-req
Capture and decompose a concept into atomic, traceable wiki requirements. Clarifies ambiguous requirements, splits them into atomic pieces, and persists them as wiki/requirements/ pages with status tracking.
wiki-ingest
Process new source packets and synthesize them into wiki knowledge pages.
wiki-record
Capture the just-completed task's tool-call trajectory into the wiki as agent working-memory, then optionally distill it into a reusable skill.
wiki-retro
Save an atomic insight from the current task into the wiki. Creates a single markdown file that layered recall surfaces in future sessions.
wiki-discover
Auto-discover new sources from the web. Searches based on config topics and known knowledge gaps.