No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by salesforce · Codex Skill · ★ 5.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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CodeGen Official release for the CodeGen1 and CodeGen2 models (, , , ) for Program Synthesis by Salesforce AI Research. News July 2023 CodeGen2.5 released outperforming 16B parameter models with only 7B. May 2023 CodeGen2.0 released with strong infill sampling capability. March 2022 CodeGen1.0 released on par with OpenAI Codex at the time. Publications CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis Erik Nijkamp\, Bo Pang\, Hiroaki Hayashi\, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong ICLR, 2023 CodeGen2: Lessons for Training LLMs on Programming and Natural Languages Erik Nijkamp\, [Hiroaki Ha
| Stars | 5,180 |
| Forks | 421 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 63.4576429008206/100 |
| Open Issues | 48 |
| Last Updated | 2026-06-02 |
| Created | 2022-03-28 |
| Platforms | codex, python |
| Est. Tokens | ~92k |
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CodeGen is CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.. It is categorized as a Codex Skill with 5.2k GitHub stars.
CodeGen is primarily written in Python. It covers topics such as codex, generativemodel, languagemodel.
You can find installation instructions and usage details in the CodeGen GitHub repository at github.com/salesforce/CodeGen. The project has 5.2k stars and 421 forks, indicating an active community.
CodeGen is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to CodeGen on Agent Skills Hub include ai-guide, cursor-talk-to-figma-mcp, dbhub. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.