load-bearing-identification
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/load-bearing-identificationIdentifies critical factors that support a conclusion
- Determines which factors are essential for maintaining a conclusion
- Uses ablation results, necessity, and sufficiency scores as input
- Analyzes degradation and classification scores to rank factors
- Produces a ranked list and classification with confidence metrics
SKILL.md
.github/skills/load-bearing-identificationView on GitHub ↗
--- name: load-bearing-identification description: Identify which factors are "load-bearing walls" — factors whose removal would collapse the conclusion. execution: subagent prompt: ./prompt.md input: ablation_results (list), necessity_scores (list), sufficiency_scores (list) used-by: [counterfactual-probing] --- # Load-Bearing Identification Synthesizes ablation, necessity, and sufficiency results to identify critical factors. ## Execution Subagent — spawned via subagent-spawning/spawn-agent. ## Why Subagent Final synthesis requires weighing multiple evidence streams to produce a definitive ranking. ## Input - **ablation_results**: Degradation scores from factor removal - **necessity_scores**: PN scores per factor - **sufficiency_scores**: PS scores per factor ## Output - **load_bearing_factors**: Ranked list of critical factors - **classification**: Each factor classified into necessity-sufficiency quadrant - **confidence**: Confidence in each classification - **summary**: Overall structural assessment ## Budget One unit = one synthesis per campaign run.