/self-improvement-loops
當 harness、scaffold、workflow 或 optimizer 本身是最佳化對象時使用：遞迴自我改進（RSI）迴圈、meta-harness，以及從自身失敗中提出有界修改的 harness。
- 安裝次數
- 159
- 專案星數
- 1.8 萬 ★
- 授權
- MIT
- 專案更新
- 2026-10-12
怎麼裝
npx skills add https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering --skill self-improvement-loops安裝前請先看過原文內容。中文說明是 AI 翻譯，不保證安全。
原文
This skill should be used when the harness, scaffold, workflow, or optimizer itself is the optimization target: recursive self-improvement (RSI) loops, meta-harnesses, self-improving harnesses that mine their own failures and propose bounded edits, evolutionary or population-based search over agent scaffolds, acceptance gates for self-modifying systems, and agentic context evolution where the mechanism that produces context is versioned and evolved. Route governance of a single autonomous loop (locked surfaces, durable logs, rollback, novelty gates, approval boundaries) to harness-engineering, measurement and quality-gate design to evaluation, judge design to advanced-evaluation, and remote sandbox infrastructure to hosted-agents.