by mturac · Codex Skill · ★ 79
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Language: English ไทย Everything OpenAI Codex ![Markdown](https://im
| Stars | 79 |
| Forks | 1 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 49.468/100 |
| Open Issues | 5 |
| Last Updated | 2026-06-15 |
| Created | 2026-05-18 |
| Platforms | cli, codex, gemini, node |
| Est. Tokens | ~25k |
Looking for a everything-openai-codex alternative? If you're comparing everything-openai-codex with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A collection of AI agent skills for Clawdbot, Claude Code, Codex
Agent skills for Spec Kit
An LLM council that reviews your coding agent's every move
338 AI skills across 16 domains. PM is the deepest (66 skills - discovery, execution, strategy frameworks, GTM
Modular AI agent workflow automation platform with schedulers, tools, and observability. https://vmdeshpande.g
Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and mu
Explore other popular codex skill tools:
everything-openai-codex is EOC: open-source operating system for OpenAI Codex workflows with agents, skills, hooks, rules, memory, safety gates, and cross-harness adapters.. It is categorized as a Codex Skill with 79 GitHub stars.
everything-openai-codex is primarily written in JavaScript. It covers topics such as agent-harness, agent-skills, ai-agents.
You can find installation instructions and usage details in the everything-openai-codex GitHub repository at github.com/mturac/everything-openai-codex. The project has 79 stars and 1 forks, indicating an active community.
everything-openai-codex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to everything-openai-codex on Agent Skills Hub include agent-skills, speckit-agent-skills, sage. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.