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convergence-monitoring

convergence-monitoring

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?"…

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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: 'false' 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.

convergence-monitoring

Read 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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