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数据与研究 · SKILL.md

convergence-monitoring

convergence-monitoring

【数据与研究】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 co…

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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.

Resolve this link relative to this SKILL.md, not the project working directory. The plugin root is three directories above this file. Resolve package paths such as skills/ and scripts/ from that root; resolve relative links inside the canonical document from its own directory. Keep the user’s project as the target of project operations.

Regenerate with node scripts/generate-codex-skills.mjs.

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