sobol-decomposition

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/sobol-decomposition

Computes Sobol sensitivity indices for variance attribution

  • Identifies first-order and total-order sensitivity indices from input distributions.
  • Depends on model description, input distributions, and sample size parameters.
  • Uses a subagent to perform sampling and index computation efficiently.
  • Delivers computed sensitivity indices in precise variance attribution.

SKILL.md

.github/skills/sobol-decompositionView on GitHub ↗
---
name: sobol-decomposition
description: Sobol variance decomposition — compute first-order and total-order sensitivity indices for precise variance attribution.
execution: subagent
prompt: ./prompt.md
input: model_description, input_distributions, sample_size
used-by: variance-decomposition
---

## Execution

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

## Budget

One unit = one complete Sobol decomposition (sampling, index computation, interpretation).

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