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