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 aretw0/agents-lab --skill create-pi-promptgit clone --depth 1 https://github.com/aretw0/agents-labWrote 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/aretw0/agents-lab/create-pi-prompt)<a href="https://agentmods.dev/skills/aretw0/agents-lab/create-pi-prompt"><img src="https://agentmods.dev/badge/skills/aretw0/agents-lab/create-pi-prompt.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 | $0.00031 | $0.00375 |
| Opus 5 | $0.00015 | $0.00187 |
| Sonnet 5 | $0.00006 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
create-pi-prompt 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 7d 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
Criando Prompt Templates
Prompt templates são snippets Markdown que viram comandos /nome no pi.
Estrutura
Arquivo .md com frontmatter opcional:
---
description: Revisa as mudanças staged do git
---
Revise as mudanças staged (`git diff --cached`). Foque em:
- Bugs e erros de lógica
- Problemas de segurança
- Gaps de tratamento de erro
O nome do arquivo vira o comando: review.md → /review
Argumentos
Templates suportam argumentos posicionais:
$1,$2, ... — argumento por posição$@ou$ARGUMENTS— todos os argumentos juntos${@:N}— argumentos a partir da posição N${@:N:L}— L argumentos a partir de N
Exemplo:
---
description: Cria um componente React
---
Crie um componente React chamado $1 com as features: ${@:2}
Uso: /component Button dark-mode responsive
Onde Colocar
| Escopo | Localização |
|---|---|
| Global | ~/.pi/agent/prompts/review.md |
| Projeto | .pi/prompts/review.md |
| Pacote | prompts/review.md (com pi.prompts no package.json) |
Empacotando
{
"name": "@aretw0/meus-prompts",
"keywords": ["pi-package"],
"pi": {
"prompts": ["./prompts"]
}
}
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.
- 7d ago First seen · 67 lines · 31 tokens per session scan A ce4c688c73d0
create-pi-prompt is a skill published in the GitHub repository aretw0/agents-lab (11 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 375 once invoked, about $0.0002 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 2026-08-30.
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