system_prompts_leaks

Product Introduction

1. Definition: system_prompts_leaks is a public GitHub repository that functions as a specialized, community-maintained database and technical archive. Its technical category is AI transparency tooling and prompt engineering intelligence.
2. Core Value Proposition: It exists to demystify the opaque operational foundations of leading large language models (LLMs) by systematically collecting, verifying, and publishing their leaked system prompts. It provides unprecedented transparency for AI researchers, developers, and enthusiasts, enabling a deeper understanding of model behavior, safety guardrails, and commercial AI product design.

Main Features

1. Comprehensive, Versioned Prompt Archive: The repository organizes leaked system prompts by AI provider (e.g., Anthropic, OpenAI, Google) and specific model or product variant (e.g., Claude Fable 5.1, ChatGPT 5.6, Gemini 3.7 Flash). Each entry includes the capture date and direct links to the raw prompt files. This structured, git-based version control allows users to track the evolution of AI instructions over time.
2. Multi-Modal and Integration-Specific Prompts: Beyond core chat models, the collection includes prompts for specialized AI agents and integrations. This covers coding assistants (Claude Code, Cursor, GitHub Copilot), creative tools (Claude Design), research agents (Perplexity Deep Research), CLI tools (Antigravity CLI, Copilot CLI), and browser/workspace extensions (Claude in Chrome, Gemini Workspace). This reveals how foundational models are adapted for specific technical workflows.
3. Contextual Metadata and Community Verification: The repository provides more than raw text. It includes contextual notes on model capabilities, tool availability (e.g., "53 tools + 22 skills"), and deprecation status. The community-driven nature, evidenced by forks, stars, and contributions, acts as a crowdsourced verification mechanism for the authenticity and accuracy of the leaked prompts.

Problems Solved

1. Pain Point: The "black box" problem in commercial AI. End-users and developers interact with AI through a polished interface, but the underlying system instructions that govern tone, safety, capabilities, and limitations are typically proprietary and hidden. This lack of transparency hinders debugging, reproducibility, and trust.
2. Target Audience: AI Researchers & Academics studying model alignment and safety; Prompt Engineers & AI Developers seeking to reverse-engineer techniques or understand model constraints; Technical Journalists & Analysts (e.g., The Washington Post) investigating AI industry practices; Cybersecurity & Red Team Professionals probing for security or jailbreak vulnerabilities; Enthusiasts & Hobbyists curious about how their favorite AI chatbots fundamentally operate.
3. Use Cases: Comparative Analysis of safety policies between Claude, ChatGPT, and Gemini; Educational Resource for teaching prompt engineering and AI system design; Inspiration Source for developers crafting system prompts for their own open-source or internal AI agents; Investigative Journalism to audit AI behavior against its stated instructions; Vulnerability Research to identify potential inconsistencies or weaknesses in deployed AI guardrails.

Unique Advantages

1. Differentiation: Unlike academic papers or corporate blogs that discuss system prompts theoretically, system_prompts_leaks provides the actual, verbatim operational code used in production. It is more current and extensive than static research datasets, and more technically focused than news articles summarizing AI features.
2. Key Innovation: The project's core innovation is its methodology as a live, crowdsourced intelligence feed. It treats system prompts as dynamic, versioned artifacts of the AI industry. By aggregating leaks from various sources into a single, structured, and historical repository, it creates a unique public record of the rapidly evolving "constitution" of mainstream AI systems.

Frequently Asked Questions (FAQ)

1. What is a leaked AI system prompt? A leaked AI system prompt is the foundational set of instructions, rules, and personality guidelines programmed into a large language model (like ChatGPT or Claude) by its developers before any user interaction begins. It defines the model's behavior, ethical boundaries, and operational parameters.
2. Is using leaked system prompts from system_prompts_leaks legal? The repository hosts information considered publicly accessible or leaked. Using this information for research, analysis, or personal education generally falls under fair use. However, directly replicating proprietary prompts for a commercial competing product may raise intellectual property concerns. Always consult legal counsel for commercial applications.
3. How can developers use these leaked prompts? Developers can use them to benchmark their own AI agent's instructions, learn advanced prompt engineering techniques for structuring complex tasks, understand common safety mitigation patterns, and gain insights into how major AI companies architect their models' behavior for different use cases (coding, design, research).
4. How often is the system_prompts_leaks repository updated? The repository is updated regularly, often within days or weeks of a new AI model release or update. The "Most recent additions/changes" section at the top of the README provides a chronological log of new prompts, such as Claude Code headless (Fable 5.1) or Grok 4.6.
5. What's the difference between a system prompt and a user prompt? A system prompt is the permanent, hidden instruction set that initializes the AI model's behavior. A user prompt is the transient input provided by the end-user during a conversation. The system prompt acts as the overarching framework that governs how the model interprets and responds to all user prompts.