convergence-check

Research

Evaluate whether the ranking has stabilized by analyzing rating history and computing stability metrics.

QUICK START

How to use this skill

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Prompt to paste

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/convergence-check/SKILL.md

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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.

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.