Claude Plugin
Last commit on July 16, 2026·Created on April 20, 2026
TheGreenCedar/codex-autoresearch
“Automates measured improvement loops for benchmark-driven optimization in local projects.”
Combined rank
#226
across all skills
In Automation
#16
category rank
Stars
831
+0.1% in last 7d
Forks
59
0.0% in last 7d
Watchers
0
0 watchers in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
Description
Codex Autoresearch enables performance engineers and data scientists to execute iterative optimization cycles against measurable targets. It structures the process of reducing model loss, improving query latency, or refining build speeds by maintaining session files that track progress.
The tool supports qualitative quality-gap research and review-branch finalization, providing a systematic way to log packets and read dashboards while pursuing specific technical metrics.
WHO IT'S FOR
Performance Engineers
running benchmark-driven optimization loops
ML / Data Scientists
optimizing model loss and metrics
Frontend / Web Engineers
improving Lighthouse scores and bundle size
AI Agent / Automation Builders
implementing autonomous code improvement loops
30 Days of GitHub Stars
+10 stars↑ 0.8% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install1 Skill · 1 Compatible agent · 4 categories · 1 install path
Compatible agents
❯Codex
Categories
AutomationSoftware EngineeringResearchDeveloper Tooling
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