Compute a fragility index from flip-point distances and degradation scores, summarizing how robust the conclusion is.
Scanned 6/1/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill fragility-measurement --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: fragility-measurement
description: Compute a fragility index from flip-point distances and degradation scores, summarizing how robust the conclusion is.
execution: subagent
prompt: ./prompt.md
input: flip_points (list), degradation_scores (list), factor_count (number)
used-by: [counterfactual-probing]
---
# Fragility Measurement
Aggregates flip-point distances and degradation scores into a single fragility index.
## Execution
Subagent — spawned via subagent-spawning/spawn-agent.
## Why Subagent
Fragility computation requires synthesizing results from multiple ablation and flip-point tests into a coherent assessment.
## Input
- **flip_points**: List of {dimension, distance, confidence}
- **degradation_scores**: List of {factor, score, classification}
- **factor_count**: Total factors examined
## Output
- **fragility_index**: Overall fragility (0.0 = robust, 1.0 = extremely fragile)
- **most_fragile_dimension**: Where the conclusion is most vulnerable
- **robustness_assessment**: Qualitative summary
- **recommendations**: What to investigate further
## Budget
One unit = one aggregation per campaign run.
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