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The codex-settings MCP server was last committed 1mo ago and has 2 contributors. Issue health: 80% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

codex-settings MCP Server

Name: feiskyer/codex-settings
Rating: 4.1 (1 reviews)
Author: feiskyer

feiskyer/codex-settings

Score: 77.8 ↓ 1.3% Rank #2505 LLM Client

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Curated skills, profiles, and config templates that supercharge Codex CLI — multi-model, deep research, image gen & browser automation.

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Overview

feiskyer/codex-settings is a Python tool licensed under MIT. Curated skills, profiles, and config templates that supercharge Codex CLI — multi-model, deep research, image gen & browser automation. Topics: agentic-ai, agents, ai, codex, copilot, litellm, openai, vibe-coding, agent-skills, ai-coding, codex-cli, mcp, codex-profiles, codex-skills.

Ranked #2505 out of 24846 indexed tools.

Ecosystem

Python MIT

agentic-aiagentsaicodexcopilotlitellmopenaivibe-codingagent-skillsai-codingcodex-climcpcodex-profilescodex-skills

Score Breakdown

Stars 15% 246

246 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 80%

4/5 issues closed → responsive maintainer

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 35

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 45 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 246
Forks: 35
Open Issues: 1
Closed Issues: 4
Contributors: 2
Dependents: —
Language: Python
License: MIT
Last Commit: 1mo ago

Matched Queries

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From the README

# Codex CLI Skills & Profiles

给 [Codex CLI](https://developers.openai.com/codex/cli/) 加上深度调研、图片生成、浏览器调试等能力，配好多模型切换，开箱即用。

仓库采用面向个人开发效率的默认配置；你可以整套使用，也可以按需选取 Profiles 或 Skills。使用前请确认模型提供商、权限和外部依赖，并避免提交真实密钥。

## 为什么用这套配置

如果你想少花时间调配置，多花时间完成真正的开发工作，这个仓库提供了一套可以直接运行、也可以自由组合的 Codex CLI 工作台。

- **灵活切换模型**：预置 [copilot-gateway](https://www.npmjs.com/package/copilot-gateway)、ChatGPT、Azure OpenAI、OpenRouter 和 [LiteLLM](https://docs.litellm.ai/)/GitHub Copilot Profiles。
- **复用成熟工作流**：通过 Skills 完成需求梳理、深度调研、图像生成、字幕提取和任务交接。
- **连接真实开发环境**：通过 Chrome DevTools MCP 调试网页、检查性能并执行浏览器自动化。
- **整套或按需使用**：既可以作为完整的 Codex Home，也可以只复制需要的 Profile 或 Skill。

> 本项目面向 Codex CLI；Claude Code 的配置、Skills 与 Agents 请查看 [Claude Code Settings](https://github.com/feiskyer/claude-code-settings)。

## 快速开始

### 1. 安装 Codex CLI

使用 npm 安装：

```bash
npm install -g @openai/codex
```

也可以参考 [Codex CLI 官方文档](https://developers.openai.com/codex/cli/) 选择其他安装方式。

### 2. 推荐：使用 Codex Plugin 安装 Skills

如果你已经有自己的 Codex 配置，只想安装本仓库提供的 Skills，可以

Read full README on GitHub →