by MeXenon · Codex Skill · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Codex Session Export ⚡️ The ultimate, terminal-native export pipeline for Codex. If you find this tool useful, please consider leaving a ⭐️ on this repository! It helps others find the project. 🛑 The Problem When working with advanced agentic AI models (like Codex, ChatGPT, or Claude), they sometimes hallucinate, make mistakes, or lose track of their context. When things go wrong—or when you pull off an incredibly complex workflow—you need to analyze exactly what happened. You might need to: Feed the session into another AI model for debugging or code review. Extract just the terminal commands to create an automated script. Read through the agent's hidden internal reasoning. Strip away thousands of lines of verbose tool outputs to see the actual conversation. Currently, there’s no official feature built for this granular level of control. If you just export raw logs, you get a massive, unreadable wall of text
| Stars | 60 |
| Forks | 9 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 63.4211012487238/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-26 |
| Created | 2026-04-12 |
| Platforms | cli, codex, python |
| Est. Tokens | ~15k |
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codex-session-export is Codex session conversation chat export markdown interactive terminal tool.. It is categorized as a Codex Skill with 60 GitHub stars.
codex-session-export is primarily written in Python. It covers topics such as ai, chat, chatgpt.
You can find installation instructions and usage details in the codex-session-export GitHub repository at github.com/MeXenon/codex-session-export. The project has 60 stars and 9 forks, indicating an active community.
codex-session-export is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to codex-session-export on Agent Skills Hub include talkio, codex-usage-tracker, chat.md. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.