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/luanpdd/kit-mcpWrote 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/luanpdd/kit-mcp/resumo-marco)<a href="https://agentmods.dev/commands/luanpdd/kit-mcp/resumo-marco"><img src="https://agentmods.dev/badge/commands/luanpdd/kit-mcp/resumo-marco/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/luanpdd/kit-mcp/resumo-marco"><img src="https://agentmods.dev/badge/commands/luanpdd/kit-mcp/resumo-marco.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 | $0.00027 | $0.00512 |
| Opus 5 | $0.00014 | $0.00256 |
| Sonnet 5 | $0.00005 | $0.00102 |
| Haiku 4.5 | $0.00003 | $0.00051 |
Grade A, and why
resumo-marco 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 5d 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
Propósito: Permitir que novos membros da equipe entendam um projeto concluído lendo um documento e fazendo perguntas de acompanhamento.
Saída: MILESTONE_SUMMARY escrito em .planning/reports/, apresentado inline, Q&A interativo opcional.
<execution_context> @./.claude/framework/workflows/milestone-summary.md </execution_context>
Entrada do usuário:
- Versão: $ARGUMENTS (opcional — padrão para milestone atual/mais recente)
<success_criteria>
- Versão do milestone resolvida (de argumentos, STATE.md ou scan de arquivo)
- Todos os artefatos disponíveis lidos (ROADMAP, REQUIREMENTS, CONTEXT, SUMMARY, VERIFICATION, RESEARCH, RETROSPECTIVE)
- Documento de resumo escrito em
.planning/reports/MILESTONE_SUMMARY-v{version}.md - Todas as 7 seções geradas (Visão Geral, Arquitetura, Fases, Decisões, Requisitos, Dívida Técnica, Começando)
- Resumo apresentado inline ao usuário
- Q&A interativo oferecido
- STATE.md atualizado </success_criteria>
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.
- 5d ago First seen · 51 lines · 27 tokens per session scan A 973337e4c069
resumo-marco is a command published in the GitHub repository luanpdd/kit-mcp (1 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 512 once invoked, about $0.0001 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 2026-09-03.
Other commands, from other repositories
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sync-linear
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add-note
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fest-show
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dispatcher
Pick the next-best repo to work on across the portfolio — rank free repos, recommend one, claim its lease atomically, and route to the entry command.
workpm
A project-management workflow for coordinating multiple AI workers through five stages. It includes task assignment, shared activity logs, worker replacement, and final checks.