All notable changes to this project will be documented in this file.
- Added
codexopt improveas the one-command Codex workflow for discovery, task mining, reflective optimization, preview, and apply. - Added
codexopt improve --liveto opt into Codex-backed optimizer and judge runs. - Added the
reflectiveengine for SkillOpt and GEPA inspired optimization ofSKILL.mdandAGENTS.md. - Added tiered rewards with verifier, judge, and static fallback modes.
- Added Codex rollout parsing for
codex exec --jsontrajectories. - Added
codexopt tasks initto mine starter optimization tasks from git history, skills, and issues. - Added
skilloptas a SKILL.md optimization engine with train/validation evidence splits. - Added validation-gated candidate acceptance with configurable edit budget and validation delta.
- Added optional executable rollout tasks from JSON
evidence.task_files. - Added temporary-repo rollout execution for candidate skills, including pass/fail artifact metadata.
- Added SkillOpt metadata to
optimize.json, CLI summaries, and markdown reports. - Added support for
.agents/skills/**/SKILL.mddiscovery. - Documented progressive Codex user workflows, reflective optimization, rollout configuration, task format, artifacts, and current boundaries.
- Made offline preview the default for
codexopt improveso Codex and API budget are only used when explicitly requested. - Deprecated the legacy
--engine gepapath in favor of the maintainedreflectiveengine. - Updated package description to emphasize Codex and SkillOpt-style validation.
- Initial open-source release of CodexOpt.
- CLI workflow for
init,scan,benchmark,optimize,apply, andreport. - Heuristic optimization engine and optional GEPA integration path.
- Run artifacts and markdown reporting.
uv-first CI pipeline for lint, test, and build.