by LoRexxar · Codex Skill · ★ 2.4k
中文 | English Since Cobra-W 2.0, Cobra-W has been officially renamed to Kunlun-M(昆仑镜). Python 3.10+ is recommended (Python 3.13+ preferred); Python 2.7 has reached end-of-life. Thanks to the AI era, I can address the project's basic maintenance issues at extremely low cost. Although the project's concepts may not be cutting-edge by today's standards, the stable core still serves as a solid tool reference. I will continue to iterate rapidly using Codex at minimal cost, boldly experiment with new features, and attempt to build a potentially very useful tool using AI-era methods.
| Stars | 2,414 |
| Forks | 316 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.0650919642428/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-11 |
| Created | 2017-09-07 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~16k |
These tools work well together with Kunlun-M for enhanced workflows:
Explore other popular codex skill tools:
Kunlun-M is KunLun-M — Open-source static code analysis for PHP, Nodejs/JavaScript, Python, Golang, Java and C/C++, with AST-based semantic scanning and one-click AI Agent integration (OpenClaw, Codex, Claude Cod. It is categorized as a Codex Skill with 2.4k GitHub stars.
Kunlun-M is primarily written in Python.
You can find installation instructions and usage details in the Kunlun-M GitHub repository at github.com/LoRexxar/Kunlun-M. The project has 2.4k stars and 316 forks, indicating an active community.
Kunlun-M is released under the MIT license, making it free to use and modify according to the license terms.