# Convergence Sensitivity Analysis

> Tests conclusion robustness by perturbing parameters and observing rank changes. Shared across scoring, portfolio, and steel-manning campaigns.

- Skill: `yogsoth-ai/convergence-sensitivity-analysis` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/convergence-sensitivity-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/convergence-sensitivity-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/convergence-sensitivity-analysis

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# 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.

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## 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. |

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