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Scenario Driver Identification

ASecurity

Identify key uncertainty drivers using PESTEL framework scanning

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  • Added May 27, 2026
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A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned May 27, 2026

npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill scenario-driver-identification --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: scenario-driver-identification
description: "Identify key uncertainty drivers using PESTEL framework scanning"
version: 1.0.0
category: experiment-execution
type: sop
execution: subagent
prompt: ./prompt.md
used-by:
  - morphological-scenario
  - parameter-space-construction
input: research context, planning horizon, domain constraints
output: ranked list of 5-8 uncertainty drivers with impact and uncertainty scores
---

# SOP: Scenario Driver Identification

Identify the key uncertainty drivers that could shift the research landscape within the planning horizon. Uses PESTEL (Political, Economic, Social, Technological, Environmental, Legal) framework to ensure comprehensive coverage.

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

Files in this skill

  • SKILL.md766 B
  • prompt.md2.3 KB

Attribution

yogsoth-aiView sourceSee grades on GitHubMore from yogsoth-ai

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