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Massive Leak of AI System Prompts Reveals Internal Instructions for ChatGPT 5.5, Gemini 3.5, and Claude Fable 5
Industry NewsAI SecurityLarge Language ModelsOpen Source Intelligence

Massive Leak of AI System Prompts Reveals Internal Instructions for ChatGPT 5.5, Gemini 3.5, and Claude Fable 5

A significant repository titled "system_prompts_leaks" has surfaced on GitHub, authored by user asgeirtj, containing the extracted system prompts for a wide array of cutting-edge artificial intelligence models. The leak encompasses internal instructions from major industry players, including OpenAI's ChatGPT 5.5 Thinking and GPT 5.5 Instant, Anthropic's Claude Fable 5 and Opus 4.8, and Google's Gemini 3.5 Flash and Antigravity. Beyond general-purpose LLMs, the repository also features prompts for specialized tools like Claude Code, Cursor, and GitHub Copilot. This collection provides an unprecedented look into the governing logic and safety constraints of the world's most advanced AI systems. The repository is reportedly updated on a regular basis, offering a continuous stream of insights into the evolving landscape of model behavior and prompt engineering across the AI industry.

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Key Takeaways

  • Comprehensive Industry Coverage: The leak includes system prompts from all major AI developers, including OpenAI, Anthropic, Google, and xAI.
  • Next-Generation Models Exposed: Internal instructions for unreleased or recently deployed models such as ChatGPT 5.5, Gemini 3.5, and Claude Fable 5 are now public.
  • Specialized Tool Insights: The repository contains prompts for coding and design-specific AI, such as Claude Code, Claude Design, Cursor, and VS Code integrations.
  • Dynamic Repository: The source is maintained with regular updates, ensuring that the latest iterations of system prompts are captured as models evolve.
  • Cross-Platform Scope: Beyond the 'Big Three,' the leak covers platforms like Perplexity, Grok, and various Copilot iterations.

In-Depth Analysis

The Breadth of the System Prompt Leak

The emergence of the "system_prompts_leaks" repository on GitHub represents a pivotal moment in AI transparency and security. The collection, curated by the user asgeirtj, serves as a central archive for the hidden instructions that define how AI models interact with users. These system prompts are the foundational directives that set the tone, persona, and safety boundaries for Large Language Models (LLMs). The scope of this leak is particularly noteworthy because it spans the entire spectrum of the current AI ecosystem. From the high-reasoning capabilities of OpenAI’s ChatGPT 5.5 Thinking to the high-speed efficiency of Google’s Gemini 3.5 Flash, the repository provides a comparative look at how different organizations approach model alignment.

The inclusion of models like "Antigravity" from Google and "Claude Fable 5" from Anthropic suggests that the leak captures the very latest advancements in the field. By examining these prompts, researchers and developers can discern the specific constraints placed on these models, such as how they are instructed to handle sensitive topics, maintain factual accuracy, or manage their internal reasoning processes. The presence of both "Thinking" and "Instant" versions of GPT 5.5 highlights a trend in the industry toward specialized model variants optimized for different latency and cognitive requirements.

Specialized AI and Integrated Environments

One of the most revealing aspects of this leak is the inclusion of prompts for specialized AI applications. While general-purpose chatbots often receive the most attention, the repository delves into the internal logic of tools designed for specific professional workflows. For instance, the inclusion of Claude Code and Claude Design prompts offers a glimpse into how Anthropic tailors its models for software engineering and creative tasks. Similarly, the presence of prompts for Cursor, GitHub Copilot, and VS Code integrations demonstrates how AI is being fine-tuned to operate within integrated development environments (IDEs).

These specialized prompts often contain complex instructions regarding code formatting, error handling, and contextual awareness within a file system. By exposing these directives, the leak reveals the sophisticated prompt engineering required to make AI a reliable partner in technical tasks. Furthermore, the inclusion of xAI’s Grok and the search-centric Perplexity AI shows that the leak is not limited to traditional LLM providers but extends to social media-integrated and search-augmented intelligence. This breadth allows for an analysis of how different platforms prioritize information retrieval versus conversational engagement.

Industry Impact

The publication of these system prompts has profound implications for the AI industry. Firstly, it accelerates the study of prompt engineering by providing real-world examples of high-level directives used by the world's leading AI labs. Developers can learn from the sophisticated structures used by OpenAI or Anthropic to improve their own model implementations. However, this transparency comes with significant security and competitive risks. System prompts often contain proprietary techniques for preventing jailbreaks and managing model hallucinations. With these instructions in the public domain, malicious actors may find it easier to craft adversarial inputs designed to bypass safety filters.

From a competitive standpoint, the leak allows companies to peer into the "secret sauce" of their rivals. Understanding exactly how a competitor instructs their model to be helpful, harmless, or creative can lead to a convergence in model behavior across the industry. Moreover, for the broader public, this leak demystifies the "black box" of AI. It provides a clear view of the biases and preferences intentionally programmed into these systems by their creators, fostering a more informed discussion about AI ethics and the responsibility of tech giants in shaping digital discourse.

Frequently Asked Questions

Question: What exactly is a system prompt in the context of this leak?

A system prompt is a set of foundational instructions given to an AI model before it interacts with a user. It defines the model's identity, its operational boundaries, its tone, and the safety protocols it must follow. The leaked repository contains the specific text used by developers to configure models like ChatGPT 5.5 and Gemini 3.5.

Question: Which companies are affected by this repository?

The leak affects nearly every major player in the AI space. This includes OpenAI (ChatGPT, Codex), Anthropic (Claude series), Google (Gemini, Antigravity), xAI (Grok), and several third-party developers like Perplexity and the creators of AI-integrated coding tools like Cursor.

Question: Is the information in the repository current?

Yes, the repository is described as being regularly updated. It includes prompts for the latest model versions available as of July 2026, such as Claude Fable 5 and GPT 5.5, indicating that the extraction methods used are being applied to the most recent releases in the AI market.

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