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/dados-distribuidos)<a href="https://agentmods.dev/commands/luanpdd/kit-mcp/dados-distribuidos"><img src="https://agentmods.dev/badge/commands/luanpdd/kit-mcp/dados-distribuidos/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/dados-distribuidos"><img src="https://agentmods.dev/badge/commands/luanpdd/kit-mcp/dados-distribuidos.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 | $0.00053 | $0.03008 |
| Opus 5 | $0.00026 | $0.01504 |
| Sonnet 5 | $0.00011 | $0.00602 |
| Haiku 4.5 | $0.00005 | $0.00301 |
Grade A, and why
dados-distribuidos 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.
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-Suite Invocation Pattern (herdado v1.21): Agents da Suíte DDIA Foundations v1.22 delegam para agents da Suíte Supabase v1.8 + Multi-Tenant v1.21 quando precisam materializar SQL, Edge Functions, RLS policies, audit logs. Padrão canônico:
auditor-consistencia-isolamento→ delega fix migration parasupabase-migration-writer(v1.8) OU fix Edge Function parasupabase-edge-fn-writer(v1.8)detector-tenant-quente→ delega partitioning/dedicated schema parasupabase-migration-writer(v1.8) +b2b-saas-architect(v1.21)validador-evolucao-schema→ handoff bidirecional comsupabase-migration-writer(v1.8 — invoca este validador ANTES de escrever migration arriscada)- Subcomando
implementar-cdc→ carrega skillstreams-eventos-cdc(v1.22) + delega Edge Function CDC parasupabase-edge-fn-writer(v1.8)
Cria/Atualiza: o que cada agent invocado cria/atualiza (skills consultadas, audits gerados, vereditos retornados).
Após: o usuário tem o output do agent (audit report, veredito GO/NO-GO, ou Edge Function CDC scaffold).
<execution_context>
Skills consultadas pelos agents (Suíte DDIA Foundations v1.22): kit/skills/{evolucao-schema-compativel,consistencia-leitura-replica,tenant-quente-mitigacao,postgres-isolamento-concorrencia,armadilhas-sistemas-distribuidos,escolha-modelo-consistencia,streams-eventos-cdc}/SKILL.md + kit/skills/_shared-dados-distribuidos/glossary.md.
Agents disponíveis (Suíte DDIA Foundations v1.22): kit/agents/{auditor-consistencia-isolamento,detector-tenant-quente,validador-evolucao-schema}.md.
Agents Suíte Supabase v1.8 invocados via cross-suite delegation: supabase-migration-writer, supabase-edge-fn-writer, supabase-architect.
Agents Suíte Multi-Tenant v1.21 invocados via cross-suite delegation: b2b-saas-architect, multi-tenant-rls-writer, audit-log-implementer.
</execution_context>
Subcomandos suportados (sinônimos PT-BR/EN):
| Subcomando | Sinônimos | Agent dispatched | Skill carregada |
|---|---|---|---|
auditar-consistencia |
consistencia, audit-consistency, auditar-race |
auditor-consistencia-isolamento |
postgres-isolamento-concorrencia, armadilhas-sistemas-distribuidos, escolha-modelo-consistencia, streams-eventos-cdc |
auditar-tenant-quente |
tenant-quente, hot-tenant, audit-tenant, tenant |
detector-tenant-quente |
tenant-quente-mitigacao |
validar-evolucao-schema |
validar-schema, validate-schema, evolution-check, validar-evolucao |
validador-evolucao-schema |
evolucao-schema-compativel |
implementar-cdc |
cdc, cdc-pipeline, streams, event-streaming |
(cross-suite) supabase-edge-fn-writer (v1.8) |
streams-eventos-cdc (skill v1.22 carregada como contexto) |
help |
ajuda, ? |
exibe esta tabela inline | — |
Aliases globais para o nome da suíte: dados-distribuidos, ddia, dados, consistencia, replicacao, streams (todos roteiam para este orquestrador via /dados-distribuidos).
Skills relacionadas (Suíte DDIA Foundations v1.22):
| Skill | Capítulo DDIA | Quando usar |
|---|---|---|
evolucao-schema-compativel |
Ch 4 (Encoding and Evolution) | Migrations com ALTER (NOT NULL, DROP, type narrow, default) |
consistencia-leitura-replica |
Ch 5 (Replication) | Read replicas Supavisor, read-after-write, monotonic reads |
tenant-quente-mitigacao |
Ch 6 (Partitioning) | Multi-tenant skew, hot tenant, partitioning hash(org_id) |
postgres-isolamento-concorrencia |
Ch 7 (Transactions) | Lost update, write skew, isolation level Postgres |
armadilhas-sistemas-distribuidos |
Ch 8 (Distributed Systems Trouble) | Clock skew, network failure, partial failure |
escolha-modelo-consistencia |
Ch 9 (Consistency and Consensus) | Linearizabilidade, causal, eventual; uniqueness; CAP/PACELC |
streams-eventos-cdc |
Ch 11 (Stream Processing) | CDC, event sourcing, pgmq exactly-once, stream joins |
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 · 189 lines · 53 tokens per session scan A 8a7affe0f50d
dados-distribuidos is a command published in the GitHub repository luanpdd/kit-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 3,008 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 2026-09-03.
Other commands, from other repositories
test-prompt
Test an AI prompt against multiple scenarios to verify consistent, quality output.
prompt-eval-debug
Debug any prompt with a tiny eval suite (control, edge, boundary), failure diagnosis, and smallest next change, no blind rewrite.
prompt-tuner
Improve embedded LLM system prompt based on evaluation test failures.
run-prompt-unit-test
A command that runs unit tests for a prompt, meaning instructions given to an AI, using Vitest, a JavaScript testing tool, and creates a structured test report.
test-prompt
Test an AI prompt against multiple scenarios to verify consistent, quality output.
prompt
System instructions for writing effective prompts. Apply when generating commands, skills, agents, or any LLM instructions.