failure-mode-extraction

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/failure-mode-extraction

Convert raw failure scenarios into structured failure mode records

  • Identifies and categorizes distinct failure modes from provided scenarios.
  • Deploys a systematic approach to ensure accurate extraction without creative bias.
  • Utilizes predefined logic to determine relevant failure modes based on input data.
  • Outputs a list of standardized failure mode records for further analysis or use.

SKILL.md

.github/skills/failure-mode-extractionView on GitHub ↗
---
name: failure-mode-extraction
description: Extract structured failure mode list from raw scenarios or artifact analysis. Produces standardized failure mode records.
execution: subagent
prompt: ./prompt.md
input: scenarios (string), artifact (string)
used-by: [failure-anticipation]
---

# Failure Mode Extraction

Converts raw failure scenarios or artifact analysis into structured failure mode records.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Why Subagent

Extraction requires systematic decomposition without creative bias. Isolated context ensures consistent structuring.

## Input

- **scenarios**: Raw failure scenarios from pre-mortem or analysis
- **artifact**: Original artifact for reference

## Output

- **failure_modes**: List of structured failure mode records (ID, name, description, category)
- **deduplication_notes**: Merged or related modes flagged

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