abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Enumerate failure modes, trace cause-mode-effect chains, score risk, design mitigations, and re-evaluate residual risk.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill fmea-risk-analysis --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/fmea-risk-analysisContext 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.
name: fmea-risk-analysis description: "Enumerate failure modes, trace cause-mode-effect chains, score risk, design mitigations, and re-evaluate residual risk."
Enumerate failure modes, trace cause-mode-effect chains, score risk, design mitigations, and re-evaluate residual risk.
required: [system_or_process, functions, operating_conditions] optional: [failure_history, severity_scale, occurrence_scale, detectability_scale] constraints: [scales and scoring direction must be declared]
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.
produces: [failure_mode_register, failure_chains, risk_scores, mitigation_plan, residual_risk_report] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not rank a failure mode without a cause/effect chain. Mark residual risk unknown when mitigation was not re-tested.
| source | source line | kind | source criterion | |---|---:|---|---| | v4 architecture | node desc | textual | Enumerate failure modes, score risk, mitigate, and re-evaluate residual risk. |
Append failure modes, chains, scores, mitigations, retest evidence, and residual uncertainties.
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.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.