System Prompts and Models of AI Tools
x1xhlol/system-prompts-and-models-of-ai-toolsThis repository compiles system prompts, internal tools, and AI models sourced from a wide range of popular AI development platforms and agents. It serves as a valuable resource for understanding the underlying mechanics and configurations of various AI systems.
A massive, community-driven collection of system prompts and AI models from leading AI tools. Essential for developers, researchers, and security analysts curious about the inner workings of AI agents and potential vulnerabilities.
The problem it solves
Developers and researchers often lack insight into the specific system prompts and underlying models that power popular AI tools, making it difficult to understand their behavior, replicate results, or identify security vulnerabilities.
What is it?
This repository is a curated collection of system prompts, internal tools, and AI models extracted from a diverse array of prominent AI development platforms and agents, including GitHub Copilot, Cursor, Devin AI, and Perplexity. It aims to provide transparency into how these AI systems are configured and operate.
Why it's getting attention
With over 140,000 stars and 34,000 forks, this repository is highly trending due to the intense developer interest in understanding, reverse-engineering, and securing AI systems. Its focus on the internal workings of popular AI tools taps into a critical need for transparency and knowledge in the rapidly evolving AI landscape.
Key features
- ✓Comprehensive collection of system prompts
- ✓Includes internal tools and AI models from popular platforms
- ✓Covers a wide range of AI development platforms (e.g., GitHub Copilot, Cursor, Devin AI)
- ✓Highlights critical AI system security considerations
- ✓Open-source and community-supported under GPL-3.0 license
Best use cases
- •Analyzing the design and configuration of AI agents
- •Researching prompt engineering techniques used in commercial tools
- •Identifying potential prompt injection or extraction vulnerabilities
- •Learning how popular AI development environments function internally
- •Contributing to open-source insights into AI system architecture
How to install / try
The README does not clearly document installation steps, as this repository primarily serves as a collection of text-based prompts and models rather than executable software.
How to use
Usage involves browsing the repository's contents to review collected system prompts and models. The README does not provide specific instructions for interacting with the collected data beyond direct observation.
Strengths
- ✓Extremely comprehensive collection of AI system prompts and models.
- ✓Provides unique insights into the internal workings of popular AI tools.
- ✓Highly starred and forked, indicating significant community interest and value.
- ✓Highlights critical security considerations for AI startups.
- ✓Open-source and community-supported under GPL-3.0 license.
Limitations & risks
- △The repository is a collection; it does not provide executable tools or direct functionality.
- △Information may become outdated as AI tools and models evolve rapidly.
- △Verifying the accuracy or completeness of all collected prompts requires manual effort.
- △No clear guidelines on how to *use* the prompts for specific development tasks.
- △Reliance on external contributions means quality can vary.
Alternatives
Who should try it — and who should skip
This repository is ideal for AI researchers, prompt engineers, security analysts, and developers keen on understanding the internal mechanics and system prompts behind popular AI tools. Those looking for ready-to-use AI applications or code libraries will find it less suitable.
Frequently asked questions
It contains system prompts, internal tools, and AI models from various popular AI development tools like GitHub Copilot, Cursor, Devin AI, and Perplexity.
The repository encourages opening issues for feedback, implying ongoing, community-driven maintenance, though specific update frequency is not detailed.
The repository suggests opening an issue for feedback, which is a common way to propose contributions or additions in open-source projects.
No, this repository is a collection of prompts and models for reference and analysis, not an executable tool for testing or running AI systems.
The repository is licensed under GPL-3.0, allowing for free use, modification, and distribution under its terms.