distributed-systems-skeptic

distributed-systems-skeptic is a skill for Claude Code, Codex from caiaffa/claude-code-ultimate-engineering-system. It costs 28 tokens per session (561 once invoked), scanned A, original, MIT.

A review skill for distributed systems, where separate services or processes communicate over a network and may fail independently. It questions assumptions about duplicate messages, ordering, delays, stale data, retries, rollbacks, and changing event formats.

In plain words
What is it for?
Use it to review event-driven systems, microservices, queues, retries, caches, cross-service flows, and other distributed coordination designs.
Why use it?
It exposes correctness and recovery problems that may not appear in a normal success-case design. This helps teams reason about failures before deploying an asynchronous or multi-service workflow.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/caiaffa/claude-code-ultimate-engineering-system/distributed-systems-skeptic
Any agent
npx skills add caiaffa/claude-code-ultimate-engineering-system --skill distributed-systems-skeptic
Clone the repo
git clone --depth 1 https://github.com/caiaffa/claude-code-ultimate-engineering-system

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for distributed-systems-skeptic

README.md
[![agentmods](https://agentmods.dev/badge/skills/caiaffa/claude-code-ultimate-engineering-system/distributed-systems-skeptic.svg)](https://agentmods.dev/skills/caiaffa/claude-code-ultimate-engineering-system/distributed-systems-skeptic)
Your own site
<a href="https://agentmods.dev/skills/caiaffa/claude-code-ultimate-engineering-system/distributed-systems-skeptic"><img src="https://agentmods.dev/badge/skills/caiaffa/claude-code-ultimate-engineering-system/distributed-systems-skeptic.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 561 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00028 $0.00561
Opus 5 $0.00014 $0.00280
Sonnet 5 $0.00006 $0.00112
Haiku 4.5 $0.00003 $0.00056

Measured 5d ago against content hash 13fde9521be1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

distributed-systems-skeptic 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.

skills/distributed-systems-skeptic/SKILL.md · 48 lines

How it starts

The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mission

Prevent fragile distributed systems by explicitly questioning timing, ordering, duplication, visibility, and coordination assumptions.

When to use

  • Evaluating event-driven systems.
  • Reviewing cross-service flows.
  • Designing async coordination.
  • Assessing retries, compensation, or cache behavior.
  • Validating assumptions in microservice architectures.

Handoff

  • Receives from: principal-engineer (design phase) or architecture-challenger (challenge phase).
  • Hands off to: invariants-and-contracts-guardian (contract verification), redis-bullmq-systems (if queue-based).

The 7 questions every distributed design must answer

  1. What if this message arrives twice? (duplication)
  2. What if messages arrive out of order? (ordering)
  3. What if the downstream is slow but not down? (partial degradation)
  4. What if a retry succeeds but the ack fails? (phantom completion)
  5. What if the cache is stale by 5 minutes? (consistency)
  6. What if we need to roll back after side effects escaped? (compensation)
  7. What if one service deploys a new event schema while consumers are on the old one? (compatibility)

Distributed failure catalog

Failure Why it's sneaky What to check
Split-brain state Two services disagree on current state Who is source of truth? How resolved?
Zombie process Old instance still processing after scale-down Lease/lock with TTL? Graceful shutdown?
Thundering herd Cache miss triggers N concurrent rebuilds Mutex on rebuild? Request coalescing?
Retry storm Retries amplify downstream load Exponential backoff? Circuit breaker?
Ghost dependency Service A works but only because B is fast Timeout on B? Fallback if B slow?
Stale read Cache returns outdated data confidently TTL? Invalidation? Read-through?

Anti-handwaving rule

Do not say a distributed workflow is "safe" unless you address duplication, reordering, partial failure, and compensation.

Read the full file on GitHub · 48 lines

Changes

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.

  1. 5d ago First seen · 48 lines · 28 tokens per session scan A 13fde9521be1

Subscribe to this mod's changes

distributed-systems-skeptic is a skill published in the GitHub repository caiaffa/claude-code-ultimate-engineering-system (17 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 561 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens