convergence-assessment

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/convergence-assessment

Assess convergence of model variant results using quantitative and qualitative analysis

  • Identifies stable conclusions across different model outputs
  • Uses agreement metrics and stability checks from model outputs
  • Evaluates quantitative alignment and qualitative consistency
  • Returns convergence summary with stability ratings and discrepancies
SKILL.md
.github/skills/convergence-assessmentView on GitHub ↗
---
name: convergence-assessment
description: Compare results across multiple model variants — quantitative agreement metrics and qualitative conclusion stability.
execution: subagent
prompt: ./prompt.md
input: model_outputs (string), comparison_criteria (string)
used-by: robustness-testing
---

# Convergence Assessment

Assess whether conclusions converge across model variants.

## Execution

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

## Budget

One unit = one convergence assessment pass.
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