system_prompts_leaks — What is it?

The asgeirtj/system_prompts_leaks project extracts and compiles system prompts from various AI chatbots and coding assistants, providing a comprehensive resource for understanding AI system instructions.

⭐ 40,997 Stars 🍴 6,796 Forks Author: asgeirtj
Source: Description per README View on GitHub →

Why it matters

This project is gaining attention due to its comprehensive collection of system prompts from leading AI models, addressing the need for developers to understand and utilize AI systems effectively. Its regular updates with new models and versions highlight its commitment to staying current with the latest AI advancements. The project's unique technical choice is its aggregation and organization of diverse AI system prompts, which is not commonly found in a single repository.

Source: Synthesis of README and project traits

Core Features

Comprehensive Collection

The project compiles system prompts from a wide range of AI chatbots and coding assistants, including ChatGPT, Claude, Gemini, Grok, Perplexity, and more, providing a comprehensive resource for developers.

Source: Description per README
Regular Updates

The project is regularly updated with new models and versions, ensuring that the collected prompts are current and relevant to the latest AI technologies.

Source: README 'Recently Updated' section
Documentation

Each AI model's system prompt is accompanied by detailed documentation, including links to official resources and examples, aiding developers in understanding and implementing the prompts.

Source: README 'Anthropic', 'OpenAI', 'Google', 'xAI', 'Perplexity', and 'Misc' sections

Architecture

The architecture of the project is inferred to be modular, with separate directories for each AI model (e.g., Anthropic, OpenAI, Google, xAI). Each directory contains documentation and system prompts. The code structure suggests a focus on documentation and aggregation rather than complex data processing or machine learning tasks.

Source: Code tree

Project Knowledge Graph

Knowledge graph: project (center) + core features (inner hexagons) + key dependencies (outer chips) Not enough information.Not enough inf… Comprehensive CollectionComprehensive Colle… Regular Updates Documentation system_prompts_leaks Project Core feature Key dependency

Center: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.

Tech Stack

LanguageNot enough information.FrameworkNot enough information.
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Source: Dependency files + code tree

Quick Start

Not enough information.
Source: README Installation/Quick Start

Use Cases

This project is for developers and technical decision-makers who need to understand AI chatbots and coding assistants. It is useful for scenarios such as developing AI applications, debugging AI systems, or analyzing AI behavior. Specific problems it solves include providing access to system prompts for various AI models, aiding in the development of AI applications, and facilitating the understanding of AI system behavior.

Source: README

Strengths & Limitations

Strengths

  • Strength 1: Comprehensive collection of AI system prompts
  • Strength 2: Regular updates with new models
  • Strength 3: Detailed documentation for each AI model

Limitations

  • Limitation 1: Lack of information on primary programming language and tech stack
  • Limitation 2: No explicit information on the project's architecture and design patterns
Source: Synthesis of README, code structure and dependencies

Latest Release

Not enough information.

Source: GitHub Releases

Verdict

The asgeirtj/system_prompts_leaks project is a valuable resource for developers and technical professionals interested in AI chatbots and coding assistants. Its comprehensive collection of system prompts and regular updates make it a go-to for staying informed about the latest AI technologies. It is particularly suited for teams or individuals involved in AI application development or system analysis.

Transparency Notice
This page is auto-generated by AI (a large language model) from the following public materials: GitHub README, code tree, dependency files and release notes. Analyzed at: 2026-05-24 16:12. Quality score: 80/100.

Data sources: README, GitHub API, dependency files