{"id":"dada670e-3e02-464b-acdd-5ab1326ffa23","shortId":"mgGcuV","kind":"skill","title":"Run autonomous improve verify keep-or-revert loops across coding tasks with autoresearch","tagline":"Turn Claude Code, OpenCode, or Codex into a metric-driven loop that makes one change at a time, verifies it mechanically, and keeps or reverts automatically.","description":"# Run autonomous improve verify keep-or-revert loops across coding tasks with autoresearch\n\nTurn Claude Code, OpenCode, or Codex into a metric-driven loop that makes one change at a time, verifies it mechanically, and keeps or reverts automatically.\n\n## Prerequisites\n\nGit repository, one supported agent environment such as Claude Code, OpenCode, or OpenAI Codex, mechanical verification command or metric\n\n## Installation\n\nRequirements and caveats from upstream:\n- [Karpathy's autoresearch](https://github.com/karpathy/autoresearch) demonstrated that a 630-line Python script could autonomously improve ML models overnight — **100 experiments per night** — by following simple princ...\n- The wizard walks you through 5 steps: capture goal → define scope → define metric → define direction → validate verify command (dry-run). Every gate is mechanical — scope must resolve to files, metric must output a nu...\n\nBasic usage or getting-started notes:\n- [How It Works](#how-it-works) · [Commands](#commands) · [Quick Start](#quick-start) · [Guides](guide/) · [FAQ](#faq)\n- | /autoresearch | Run the autonomous iteration loop (unlimited) |\n- | Iterations: N | Add to inline config to run exactly N iterations then stop |\n\n- Source: https://github.com/uditgoenka/autoresearch\n- Extracted from upstream docs: https://raw.githubusercontent.com/uditgoenka/autoresearch/HEAD/README.md\n\n## Documentation\n\n- https://github.com/uditgoenka/autoresearch#readme\n\n## Source\n\n- [Agent Skill 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