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 luanpdd/kit-mcp --skill armadilhas-sistemas-distribuidosgit 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/skills/luanpdd/kit-mcp/armadilhas-sistemas-distribuidos)<a href="https://agentmods.dev/skills/luanpdd/kit-mcp/armadilhas-sistemas-distribuidos"><img src="https://agentmods.dev/badge/skills/luanpdd/kit-mcp/armadilhas-sistemas-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/skills/luanpdd/kit-mcp/armadilhas-sistemas-distribuidos"><img src="https://agentmods.dev/badge/skills/luanpdd/kit-mcp/armadilhas-sistemas-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 | $0.00057 | $0.05522 |
| Opus 5 | $0.00028 | $0.02761 |
| Sonnet 5 | $0.00011 | $0.01104 |
| Haiku 4.5 | $0.00006 | $0.00552 |
Grade A, and why
armadilhas-sistemas-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 8d 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 — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Armadilhas de Sistemas Distribuídos — Clock Skew, Fencing Tokens, GC Pause, Falhas Parciais, Modelos de Sistema
Quando usar
LLM carrega esta skill ao desenhar ou revisar código que depende de relógio (expiração, TTL, ordenação por timestamp) ou distributed lock em ambiente Supabase / Edge Function. Trigger phrases:
- "TTL expirado", "lease", "deadline", "timeout"
- "clock skew", "wall clock", "now() vs clock_timestamp()", "timestamp errado"
- "ordenação por timestamp", "ordering cross-node"
- "distributed lock", "leader election", "advisory lock", "fencing token"
- "split brain", "GC pause", "process pause", "stop-the-world"
- "nó morto vs lento", "detecção de falha", "phi accrual", "heartbeat"
- "byzantine fault", "crash-recovery model", "crash-stop"
- "Edge Function não responde", "lock que não libera"
Esta skill estende cascading-failures (v1.11) — herda noção de timeout vs falha real e adiciona armadilhas de relógio + fencing tokens + modelos de sistema (cap 8 DDIA).
Termos canônicos preservados em EN porque são padrão internacional do livro DDIA Ch 8 + literatura de sistemas distribuídos. Definições PT-BR ↔ EN no glossário _shared-dados-distribuidos/glossary.md seção (e).
Regras absolutas
REGRA #1 (NUNCA wall clock para lógica de expiração): clock_timestamp() retorna real-time wall clock que pode pular (forward ou backward) quando NTP corrige drift. NUNCA usar para expirar TTL, lease, invite token, ordenação cross-transaction. Use now() ou transaction_timestamp() (alias) — monotônico DENTRO da transação. Para timestamp absoluto persistido, escreva now() na transação que cria o token.
REGRA #2 (lock distribuído sem fencing token = split-brain garantido): Qualquer pattern de "adquire lease 30s + faz trabalho" é vulnerável a GC pause / network partition / VM suspend. Mitigação obrigatória: token de fencing monotônico crescente; o storage rejeita writes com last_token < $token. Sem fencing, dois processos podem se achar líder simultaneamente e gerar writes conflitantes. Pattern Postgres canônico: pg_advisory_xact_lock(hashtext('lock_name')) + nextval('fencing_tokens_seq').
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.
- 8d ago First seen · 449 lines · 57 tokens per session scan A 781d824ccb06
armadilhas-sistemas-distribuidos is a skill published in the GitHub repository luanpdd/kit-mcp (1 stars, last pushed 4d ago), licensed MIT. It adds 57 tokens to every session and 5,522 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 skills, from other repositories
printing-press-amend
Amend a published CLI from one of two input sources: (1) dogfood mode mines the active Claude Code session transcript for friction (missing flags, hand- rolled API payloads, silent-null returns); (2) direct-input mode accepts user-supplied asks (rename a command, add commands or feeds, fix a named bug, optionally…
convex-performance-audit
Audits Convex performance for reads, subscriptions, write contention, and function limits. Use for slow features, insights findings, OCC conflicts, or read amplification.
convex-insights
Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.
ssl-proxy-troubleshoot
Systematic workflow for troubleshooting SSL/proxy connectivity issues with government websites.
diagnose-backend-bug
Diagnose a bounded backend or multi-service failure from GitHub Issues, Jira, Aone, user-provided exports, logs, traces, responses, stack traces, or job records. Use when a service, API, RPC, worker, queue, CLI, or scheduled job bug needs correlation through the project's existing observability route before repair; do…
axiom-networking
Use when implementing or debugging ANY network connection, API call, or socket. Covers URLSession, Network.framework, NetworkConnection, connection diagnostics.