Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept.
Codex Autoresearch is an autonomous experimentation system for Codex that repeatedly changes a repository, measures the result, and keeps or reverts each change. It is for optimizing measurable outcomes such as test failures, coverage, type errors, warnings, latency, binary size, or reproducible security findings. The catalogue entry provides the Codex skill that runs and manages these experiment loops.
leo-lilinxiao/codex-autoresearch
Skill Claude CodeCodex
Run autonomous, measurable experiments in a Git repository: change one hypothesis, verify a numeric metric, keep improvements, and revert failures. Use when the user wants Codex to keep iterating toward a numeric target in the foreground or as a detached background run. Do not use for ordinary one-shot coding…