fragility-flagging

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/fragility-flagging

Identifies assumptions causing conclusion divergence and rates their severity

  • Analyzes convergence results to identify which specific assumption changes lead to different conclusions.
  • Depends on convergence_results and context inputs for analysis.
  • Decides by evaluating the impact of each assumption change on the overall conclusion's robustness.
  • Delivers a list of fragile assumptions along with their severity ratings and plausibility of alternatives.

SKILL.md

.github/skills/fragility-flaggingView on GitHub ↗
---
name: fragility-flagging
description: Identify which specific assumption changes cause conclusion divergence. Rates fragility severity and plausibility of alternatives.
execution: subagent
prompt: ./prompt.md
input: convergence_results (string), context (string)
used-by: robustness-testing
---

# Fragility Flagging

Flag conclusions that are fragile to assumption changes.

## Execution

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

## Budget

One unit = one fragility assessment pass.

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