Manages configuration, profiles, and security policies for the OpenAI Codex CLI environment.
The Codex Configuration skill provides specialized guidance for managing the OpenAI Codex CLI ecosystem, enabling users to fine-tune model settings, establish sandbox security policies, and configure Model Context Protocol (MCP) servers. It streamlines the setup of named profiles for varying workflows—such as 'max' for complex tasks or 'fast' for quick fixes—and manages skill search hierarchies across local, repository, and system-level directories. This skill ensures your agentic environment is optimized for both performance and security through standardized validation and troubleshooting patterns.
Características Principales
01Granular sandbox policy configuration including read-only and workspace-write modes
02Comprehensive MCP server integration for extending CLI capabilities with external tools
0316 GitHub stars
04Advanced profile management for switching between high-reasoning and fast-response models
05Intelligent skill path resolution across local, repository, and user-level directories
06Runtime CLI overrides for dynamic adjustment of model parameters and permissions
Casos de Uso
01Integrating third-party services like Linear or Graphite via MCP server configurations
02Setting up custom security boundaries and approval policies for autonomous agent tasks
03Switching between high-performance reasoning models and cost-effective profiles for different tasks
