morris-screening

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/morris-screening

Rapidly identify important parameters using the Morris screening method

  • Screen parameters to distinguish important from unimportant ones
  • Relies on subagent execution and Morris method calculations
  • Analyzes elementary effects across parameter trajectories
  • Returns ranked parameters based on computed sensitivity metrics

SKILL.md

.github/skills/morris-screeningView on GitHub ↗
---
name: morris-screening
description: Morris method screening — compute elementary effects to quickly identify important vs unimportant parameters.
execution: subagent
prompt: ./prompt.md
input: parameter_space_definition, model_description
used-by: parameter-screening
---

## Execution

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

## Budget

One unit = one complete Morris screening analysis (trajectories designed, elementary effects computed, parameters ranked).

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