Find the best skills and plugins for OpenAI Codex, the AI coding agent.
OpenAI Codex Skills tools are AI-powered software designed to help developers and teams tackle openai codex skills-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 10 quality-scored openai codex skills tools across languages including Python, Markdown, JavaScript.
In 2026, the AI agent ecosystem is maturing rapidly. OpenAI Codex Skills tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — Agent-Skills, hermes-agent, LLMInternSkill — have earned an average of 29,773 GitHub stars, reflecting strong community validation. 8 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.
When choosing a openai codex skills tool, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is Python; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with Agent-Skills — it ranks highest in both star count and quality score.
Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs.
LLMInternSkill: LLM internship resume and job-search Codex Skill for resume polish, JD tailoring, evidence guard, interview grilling, and Project Scout. 大模型实习简历与求职工具箱。
A practical Codex skill for evidence-backed repository health audits
An open-source plugin that runs inside Codex and lets you use Claude Code and Claude models for review, rescue, and tracked background workflows.
LLMInternSkill: LLM internship resume and job-search Codex Skill for resume polish, JD tailoring, evidence guard, interview grilling, and Project Scout. 大模型实习简历与求职工具箱。
Codex Skills Library is a curated library of reusable Codex skills for developers, individuals, and teams.
Codex skill: aggressive web research via OpenAI-compatible Grok endpoint (2api)
一个集成 AI 转写与配音功能的多平台视频处理工具，支持 YouTube、TikTok/抖音、Instagram、Bilibili 和 Twitter/X，并提供 Chrome 插件。基于 OpenAI Whisper 实现音视频转写，支持 Kokoro TTS 中文配音，同时提供配套的 Codex Skills，便于通过自然语言完成视频下载、转写、字幕处理和配音等任务。
Extracted system prompts from Anthropic - Claude Fable 5, Opus 5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-5.6-Sol, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| Agent-Skills | ★ 708 | — | CC-BY-4.0 | 66 |
| hermes-agent | ★ 232.7k | Python | MIT | 86 |
| LLMInternSkill | ★ 280 | Markdown | MIT | 68 |
| audit-repo | ★ 154 | Python | MIT | 76 |
| cc-plugin-codex | ★ 170 | JavaScript | Apache-2.0 | 68 |
| LLMInternSkill | ★ 173 | Markdown | MIT | 64 |
| codex-skills-library | ★ 134 | — | — | 67 |
| grok-skill | ★ 179 | Python | — | 52 |
| VideoHub | ★ 97 | Python | MIT | 59 |
| system_prompts_leaks | ★ 63.1k | JavaScript | CC0-1.0 | 74 |
The top openai codex skills in 2026 are Agent-Skills, hermes-agent, LLMInternSkill. Agent Skills Hub ranks 10 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.
Agent-Skills (708 stars) is the most adopted choice for general openai codex skills workflows. hermes-agent (232.7k stars) is a strong alternative and uses Python instead. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with Agent-Skills — it has the deepest community and the most examples online.
Avoid pre-built openai codex skills when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.
OpenAI Codex Skills focuses specifically on find the best skills and plugins for openai codex, the ai coding agent. Claude Code Skills is a related but distinct category — see https://agentskillshub.top/best/claude-code-skills/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose openai codex skills when your primary goal is the specific task, and claude code skills when the workflow is broader.
For most teams, yes. Agent-Skills has 708 stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.
Most openai codex skills listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.
