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 agentmods add skills/felipenalves/invos/abrirnpx skills add felipenalves/InvOS --skill abrirgit clone --depth 1 https://github.com/felipenalves/InvOSWrote 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/felipenalves/invos/abrir)<a href="https://agentmods.dev/skills/felipenalves/invos/abrir"><img src="https://agentmods.dev/badge/skills/felipenalves/invos/abrir.svg" alt="Measured on agentmods" 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 | $0.00066 | $0.00367 |
| Opus 5 | $0.00033 | $0.00183 |
| Sonnet 5 | $0.00013 | $0.00073 |
| Haiku 4.5 | $0.00007 | $0.00037 |
Grade A, and why
abrir 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 6d 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
/abrir — Abertura de sessão
Curto e direto. O objetivo é carregar contexto e devolver uma síntese de uma frase pra o usuário começar a trabalhar.
Workflow
-
Ler, em ordem:
_memoria/empresa.md_memoria/preferencias.md_memoria/estrategia.mdmarca/design-guide.md(só pra saber se está preenchido ou em branco)
-
Se algum dos três primeiros estiver em branco (placeholder), responder:
"Vi que
_memoria/<arquivo>.mdainda não foi preenchido. Quer rodar/instalaragora?" E parar. -
Se tudo estiver preenchido, devolver UMA mensagem curta no formato:
[Nome do negócio] — [o que faz em 5-8 palavras]
Foco atual: [prioridade da estratégia, em uma frase]
Tom: [resumo de 3-4 palavras do tom de voz]
Pronto. O que vamos fazer?
- Não listar quais arquivos foram lidos. Não confirmar leitura. Só usar o contexto.
Regras
- Resposta tem que caber em 5 linhas no terminal
- Não fazer perguntas além de "o que vamos fazer?"
- Se o
design-guide.mdestiver em branco, não mencionar — só vira problema quando alguma skill visual for chamada
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.
- 6d ago First seen · 42 lines · 66 tokens per session scan A 6cd9e211fc70
abrir is a skill published in the GitHub repository felipenalves/InvOS (5 stars, last pushed 3d ago), licensed MIT. It adds 66 tokens to every session and 367 once invoked, about $0.0003 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.
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