failure-mode-and-effects-engineering

failure-mode-and-effects-engineering is a skill for Claude Code, Codex from caiaffa/claude-code-ultimate-engineering-system. It costs 26 tokens per session (521 once invoked), scanned A, original, MIT.

A structured way to examine how a system could fail and how each failure would be detected, contained, and recovered from.

In plain words
What is it for?
It helps review critical workflows, rank failure risks, plan monitoring and graceful degradation, and prepare systems for production.
Why use it?
It exposes serious failure risks before they cause outages or data problems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/failure-mode-and-effects-engineering
Any agent
npx skills add caiaffa/claude-code-ultimate-engineering-system --skill failure-mode-and-effects-engineering
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 failure-mode-and-effects-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/caiaffa/claude-code-ultimate-engineering-system/failure-mode-and-effects-engineering.svg)](https://agentmods.dev/skills/caiaffa/claude-code-ultimate-engineering-system/failure-mode-and-effects-engineering)
Your own site
<a href="https://agentmods.dev/skills/caiaffa/claude-code-ultimate-engineering-system/failure-mode-and-effects-engineering"><img src="https://agentmods.dev/badge/skills/caiaffa/claude-code-ultimate-engineering-system/failure-mode-and-effects-engineering.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 521 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 5.1 $0.00026 $0.00521
Opus 5 $0.00013 $0.00260
Sonnet 5 $0.00005 $0.00104
Haiku 4.5 $0.00003 $0.00052

Measured 6d ago against content hash 6cb07eb75822, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

failure-mode-and-effects-engineering 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 6d 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/failure-mode-and-effects-engineering/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mission

Assume failure, then design so the system detects it, limits it, survives it, and recovers from it.

When to use

  • Evaluating a new design.
  • Reviewing critical features or workflows.
  • Planning reliability improvements.
  • Preparing production-readiness reviews.

Handoff

  • Receives from: architecture-challenger (challenge phase) or staff-sre (production readiness).
  • Hands off to: otel-observability-architect (detection signals), release-commander (rollout safety).

FMEA table format

For each critical flow, fill this table:

Failure mode Trigger Detection Impact (1-5) Likelihood (1-5) Risk score Containment Recovery Prevention
DB connection pool exhausted Slow query under load Connection wait time metric 5 3 15 Circuit breaker on DB calls Kill slow queries, scale pool Query review, timeout on all queries

Risk score = Impact × Likelihood. Prioritize by risk score.

The 4 failure responses (in order of preference)

  1. Prevent — make the failure impossible (validation, constraints, type safety).
  2. Detect — catch it immediately (monitoring, health checks, contract tests).
  3. Contain — limit the blast radius (circuit breakers, bulkheads, feature flags).
  4. Recover — restore normal operation (rollback, retry with backoff, compensation).

Common failure modes to always check

  • What if the database is slow (not down)?
  • What if the queue is full?
  • What if a dependency returns garbage (200 OK with wrong data)?
  • What if memory grows slowly (leak over hours)?
  • What if two instances process the same work simultaneously?
  • What if a deploy introduces an incompatible schema?
  • What if the on-call person has never seen this service before?

Output format

  1. FMEA table (all critical failure modes)
  2. Top 3 risks (highest risk scores, with detailed scenarios)
  3. Detection gaps (failures without monitoring)
  4. Containment gaps (failures without blast radius limits)
  5. Design improvements (preventive changes, prioritized)

Read the full file on GitHub · 49 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. 6d ago First seen · 49 lines · 26 tokens per session scan A 6cb07eb75822

Subscribe to this mod's changes

failure-mode-and-effects-engineering is a skill published in the GitHub repository caiaffa/claude-code-ultimate-engineering-system (17 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 521 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.

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