Tests conclusion robustness by perturbing parameters and observing rank
Scanned 9/5/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill convergence-sensitivity-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Convergence Sensitivity Analysis?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/yogsoth-ai-convergence-sensitivity-analysis)More formats (shields.io, HTML) on the badges page.
---
name: convergence-sensitivity-analysis
description: Tests conclusion robustness by perturbing parameters and observing rank
changes. Shared across scoring, portfolio, and steel-manning campaigns.
execution: subagent
prompt: ./prompt.md
input: parameter_set[], perturbation_range (float), current_ranking[]
dependencies:
sops:
- spawn-agent
---
# Sensitivity Analysis
Tests whether convergence conclusions are robust to parameter perturbation.
## Execution
Subagent — spawned via subagent-spawning/spawn-agent skill.
## Why Subagent
Sensitivity analysis requires systematic exploration of parameter space with fresh perspective on each perturbation. Dedicated context prevents confirmation bias toward the original result.
## HARD-GATE
Must perturb ≥3 parameters. A single-parameter sensitivity check is insufficient for robustness claims.
<!-- BEGIN available-tables (generated) -->
## Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |
<!-- END available-tables (generated) -->
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!