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/fmea-risk-analysis

Enumerate failure modes, trace cause-mode-effect chains, score risk, design mitigations, and re-evaluate residual risk.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill fmea-risk-analysis --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/fmea-risk-analysis

Context preview

The summary Claude sees to decide when to auto-load this skill.

Enumerate failure modes, trace cause-mode-effect chains, score risk, design mitigations, and re-evaluate residual risk.

SKILL.md

fmea-risk-analysis.SKILL.md
name: fmea-risk-analysis
description: "Enumerate failure modes, trace cause-mode-effect chains, score risk, design mitigations, and re-evaluate residual risk."

fmea-risk-analysis

Purpose

Enumerate failure modes, trace cause-mode-effect chains, score risk, design mitigations, and re-evaluate residual risk.

Input contract

required: [system_or_process, functions, operating_conditions]
optional: [failure_history, severity_scale, occurrence_scale, detectability_scale]
constraints: [scales and scoring direction must be declared]

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

1. You MUST load skill `enumerate-failure-modes` to enumerate failure modes. You MUST load skill `build-failure-chain` to construct their propagation chains. 2. You MUST load skill `score-fmea-risk` to score severity, occurrence, detectability, and priority. 3. You MUST load skill `design-mitigation` to design mitigations. You MUST load skill `validate-mitigation-effect` to re-run the relevant test and validate the effect. If a failure chain requires explicit intervention counterfactuals, consider `counterfactual-causal-analysis` as the next tactic. Deviation: omit an unavailable score dimension only with an explicit unknown and no hidden imputation.

Output contract

produces: [failure_mode_register, failure_chains, risk_scores, mitigation_plan, residual_risk_report]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]

Thresholds and quality gates

  • Risk scores must preserve severity, occurrence, detectability, scale definitions, and rationale.
  • A mitigation passes only when re-testing demonstrates reduced risk without unacceptable new failure modes.

Failure and counterexamples

Do not rank a failure mode without a cause/effect chain. Mark residual risk unknown when mitigation was not re-tested.

Provenance map

  • resolved: failure-anticipation
  • resolved: design-fmea
  • resolved: process-fmea
  • resolved: risk-prioritization
  • resolved: mitigation-design
  • resolved: failure-chain-tracing
  • resolved: mitigation-validation

Preserved source criteria ledger

| source | source line | kind | source criterion | |---|---:|---|---| | v4 architecture | node desc | textual | Enumerate failure modes, score risk, mitigate, and re-evaluate residual risk. |

Context checkpoint / Delta notes

Append failure modes, chains, scores, mitigations, retest evidence, and residual uncertainties.

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Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Python
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Apache-2.0
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Repo: yogsoth-ai/de-anthropocentric-research-engine