convergence-monitoring git:20260907.cf0876cA

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---
name: convergence-monitoring
description: 'Monitor iterative improvement loops for convergence. Three signals — shrinking diff, pass-rate plateau, velocity — drive a Stop/Continue/Investigate decision at each inter-wave checkpoint. Distinct from /evolve (retrospective) and session-reviewer (wave output review): convergence-monitoring answers "are we making progress?" not "was the last wave correct?". Primary consumer: /autoresearch loops and wave-executor inter-wave checkpoints.'
metadata:
  user-invocable: 'true'
  tags: autoresearch, convergence, loop-control, wave-executor
  model: haiku
  model-preference: sonnet
  model-preference-codex: gpt-5.4-mini
  model-preference-cursor: claude-sonnet-4-6
  attribution: |
    Inspired by cavekit's documented convergence-monitoring concept (MIT, Julius Brussee). Implemented from spec since upstream skill not yet published as of 2026-04-30.
---

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# convergence-monitoring

Read [`skills/convergence-monitoring/SKILL.md`](../../../skills/convergence-monitoring/SKILL.md) in full before taking any action, then follow its complete workflow.
The linked document is authoritative, including its prechecks, argument rules, and stop conditions.

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