premortem-to-fmea-pipeline

Testing & Quality

Tactic: Pre-mortem rapid screening feeds high-risk items into full FMEA analysis. Bridges fast intuitive generation with systematic structured analysis.

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/premortem-to-fmea-pipeline/SKILL.md

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Pre-Mortem to FMEA Pipeline Tactic

Rapid pre-mortem screening identifies candidate failures; high-severity items trigger full FMEA deep-dive.

Orchestration

premortem-facilitation generates failure scenarios (fast, intuitive)
failure-mode-extraction structures scenarios into failure mode list
severity-scoring performs rapid severity screen (1-10)
Items scoring >= threshold pass to FMEA pipeline:
- function-analysis → failure-chain-construction
- occurrence-scoring + detection-scoring
- action-priority-matrix classifies H/M/L
Low-severity items documented but not analyzed further

Threshold Logic

Budget S: threshold = 7 (only critical items get FMEA)
Budget M: threshold = 5 (moderate and above)
Budget L: threshold = 3 (comprehensive coverage)

Subagents Dispatched

premortem-facilitation (scenario generation)
failure-mode-extraction (structuring)
severity-scoring (screening gate)
function-analysis, failure-chain-construction (FMEA deep-dive)
occurrence-scoring, detection-scoring (full scoring)
action-priority-matrix (classification)

Termination Conditions

All generated scenarios have been screened
High-severity items have completed full FMEA cycle
Action priority assigned to all items above threshold

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
action-priority-matrix	Compute Risk Priority Number (RPN = S x O x D), classify failure modes into H/M/L action priority per AIAG-VDA tables.
detection-scoring	Rate detectability 1-10 (inverted: 10 = hardest to detect). Estimates how likely current controls would catch the failure before impact.
failure-chain-construction	Build cause-mode-effect chains tracing upstream root causes and downstream cascading effects for each failure mode.
failure-mode-extraction	Extract structured failure mode list from raw scenarios or artifact analysis. Produces standardized failure mode records.
function-analysis	FMEA Step 3: Decompose artifact into function tree — identify what each component is supposed to do before analyzing how it can fail.
occurrence-scoring	Rate failure mode occurrence probability 1-10. Estimates how likely each failure mode is to manifest during research execution.
premortem-facilitation	Execute Klein pre-mortem protocol — assume failure has occurred, generate plausible failure scenarios through prospective hindsight.
severity-scoring	Rate failure mode severity 1-10 based on end-effect impact. Follows AIAG-VDA severity scale calibrated for research artifacts.