The 'Moat' is a Config File: Analysis of Leaked System Prompts from OpenAI, Anthropic, Google & More

The viral GitHub repository CL4R1T4S has crowdsourced and leaked the raw, hidden system prompts defining the behavior of every major AI product, from ChatGPT and Claude to Devin and Cursor. This massive leak fundamentally proves that while the underlying LLMs are becoming commoditized, the system prompt is the actual product, serving as the load-bearing configuration layer that dictates personality, ethical constraints, business logic, and tool invocation pathways. side-by-side analysis of key players exposes startlingly different corporate engineering philosophies, contrasting Anthropic's layered permission model with Google's defensive legal hedges and xAI's real-time political self-awareness. Critically, these leaks expose the exact tool schemas that define an agent’s attack surface, illustrating how indirect prompt injections are being actively exploited in products like Devin and Manus, and solidifying the argument that obfuscating prompts is no longer a defendable security moat or a sustainable way to differentiate a product.