failure-chain-construction

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/failure-chain-construction

Constructs cause-mode-effect chains for systemic failure analysis

  • Analyzes failure modes to trace root causes and cascading effects
  • Uses function trees and structured failure catalogs as input
  • Applies depth-limited reasoning to build multi-level chains
  • Returns annotated chains, shared causes, and cascade risks

SKILL.md

.github/skills/failure-chain-constructionView on GitHub ↗
---
name: failure-chain-construction
description: Build cause-mode-effect chains tracing upstream root causes and downstream cascading effects for each failure mode.
execution: subagent
prompt: ./prompt.md
input: failure_modes (string), function_tree (string), depth (number)
used-by: [failure-anticipation]
---

# Failure Chain Construction

Builds multi-level cause → mode → effect chains for systemic failure understanding.

## Execution

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

## Why Subagent

Chain construction requires disciplined causal reasoning without skipping levels. Isolated context prevents shortcutting.

## Input

- **failure_modes**: Structured failure mode catalog
- **function_tree**: Function decomposition for context
- **depth**: Max chain depth (2/4/6 per budget)

## Output

- **chains**: List of cause-mode-effect chains with level annotations
- **shared_causes**: Root causes appearing in multiple chains
- **cascade_risks**: Modes that trigger other modes

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