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Convergence Sensitivity Analysis

ASecurity

Tests conclusion robustness by perturbing parameters and observing rank

417 stars
0 votes
0 copies
1 views
Added 9/5/2026
research

Works with

mcp

Security Analysis

A100/100

Scanned 9/5/2026

Install to Claude Code

$npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill convergence-sensitivity-analysis --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
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) -->

Attribution

yogsoth-aiyogsoth-ai
View sourceMore from yogsoth-ai →
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