Add a security-audit subagent to your Codex sessions to automatically flag vulnerabilities in your code.
Delegate database migration writing to a purpose-built subagent instead of asking a general AI.
Mix language-specific agents for Go, Rust, Python, or Java to get expert-level review for each language in your codebase.
Requires OpenAI Codex access, setup is copying TOML files to your Codex agent directory.
This repository is a curated collection of over 130 pre-built configuration files for Codex subagents. Codex is an AI coding tool from OpenAI, and subagents are specialized assistants within it that you can call on to handle specific tasks, such as reviewing code for security issues, writing database migrations, or drafting API documentation. Instead of a single AI trying to do everything, you delegate work to the subagent best suited for the job. Each subagent is defined in a small configuration file that describes the agent's role, which AI model it should use, and what instructions it follows. The files use the TOML format, which is a simple plain-text format similar to a settings file. You copy the ones you want into a specific folder on your computer, and Codex will recognize them as available agents in your sessions. The collection is organized into categories covering everyday coding work, language-specific expertise (Go, Rust, Python, Java, and many others), database work, quality and security review, infrastructure, documentation, testing, data engineering, and fintech. Each entry lists what the agent does and links to its configuration file. The repository includes a model routing system where each agent specifies whether to use a heavier, more thoughtful model for tasks like security audits or a faster lighter model for scanning and research. Agents are also marked as either read-only (they analyze but do not change files) or write-enabled (they can create and modify files). Installation requires cloning the repository and copying the desired configuration files into your Codex agent directory.
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