haibarazz/awesome-codex-research
About the project
A collection of reusable Skills and Codex Plugins for research workflows: literature review, paper polishing, review-comment decomposition, ML experiment planning, and remote GPU control via MCP. Aimed at researchers who use Codex to make their scientific work reproducible.
Useful for
- Install the academic-paper-polisher skill and polish an English paper section without changing claim strength
- Decompose a peer review into atomic issues and build a LaTeX reply skeleton with review-comment-decomposer
- Install the autodl-remote plugin and run experiments on a remote GPU machine through MCP
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 80 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 2 days old and already has 100 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #188.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 100
- Today
- 0 · ≈ 80 by evening
- Forks
- 3
- Issues and pull requests
- 0
- Watchers
- 2
- Language
- Python
- Created
- September 21, 2026
- Last push
- September 22, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 23, 2026Top new repositories this week: #188
Share
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/haibarazz/awesome-codex-research)Similar by description
-
4.5
Michael-Jiahao-Zhang/game-the-llm-reviewer
An agent skill that performs a final editing pass on research papers, rewording passages to match documented LLM reviewer preferences while preserving scientific meaning.
-
1.3
aipoch/open-science
Local-first desktop workbench for scientific research with AI agents: runs Python/R, connects scientific data sources, and tracks artifact provenance for reproducibility.