Evaluate whether the ranking has stabilized by analyzing rating history and computing stability metrics.
Scanned 6/1/2026
Install to Claude Code
Skills Directorynpx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill convergence-check --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: convergence-check
description: Evaluate whether the ranking has stabilized by analyzing rating history and computing stability metrics.
execution: subagent
prompt: ./prompt.md
input: rating_history(array)
used-by: pairwise-ranking
---
# Convergence Check
Evaluates whether the current ranking has converged by analyzing the trajectory of ratings over recent iterations. Computes stability metrics and determines if further comparisons would meaningfully change the ranking.
## Execution
Runs as a subagent. Receives the full rating history and returns convergence status with metrics.
## Why Subagent
Convergence assessment requires analyzing trends across multiple snapshots and applying statistical tests. Isolating this prevents the orchestrator from needing to hold the full history in working memory.
## HARD-GATE
Output MUST contain a boolean `converged` field and a numeric `stability_score` in [0, 1]. If converged=false, MUST include `recommendation` for what to do next.
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