Massive AI System Prompt Leak: Next-Gen Claude 5, GPT 5.5, and Gemini 3.5 Instructions Exposed
A significant repository titled 'system_prompts_leaks' has been identified on GitHub, containing extracted system prompts for some of the industry's most advanced and unreleased artificial intelligence models. The leak, attributed to user asgeirtj, encompasses a wide range of proprietary instructions from leading AI labs including Anthropic, OpenAI, Google, and xAI. Notable inclusions are the system prompts for Anthropic’s Claude Fable 5 and Opus 4.8, OpenAI’s ChatGPT 5.5 Thinking and GPT 5.5 Instant, and Google’s Gemini 3.5 Flash and Antigravity. The repository also features prompts for specialized tools like Claude Code, Cursor, and GitHub Copilot, offering an unprecedented look into the internal behavioral constraints and operational logic of next-generation large language models.
Key Takeaways
- Extensive Model Coverage: The leak includes system prompts from all major AI players, including Anthropic, OpenAI, Google, and xAI.
- Next-Generation Insights: Instructions for yet-to-be-widely-released models such as Claude 5, GPT 5.5, and Gemini 3.5 are present in the repository.
- Specialized Tooling: Beyond general-purpose LLMs, the leak covers specialized AI applications like Claude Code, Claude Design, Cursor, and VS Code Copilot.
- Continuous Updates: The repository is positioned as a living document, with the author committing to regular updates as new prompts are extracted.
In-Depth Analysis
The Scope of the System Prompt Extraction
The repository 'system_prompts_leaks' represents one of the most comprehensive collections of AI system instructions to date. System prompts are the foundational directives provided to large language models (LLMs) by their developers to define their persona, safety boundaries, and functional capabilities. The extraction covers a diverse ecosystem of models, ranging from the highly anticipated Claude Fable 5 and Opus 4.8 from Anthropic to the sophisticated GPT 5.5 iterations from OpenAI, specifically the 'Thinking' and 'Instant' variants.
Google’s contributions to the leak are equally significant, featuring the Gemini 3.5 Flash and 3.1 Pro models, alongside a mention of 'Antigravity,' a term that suggests a new or specialized branch of Google's AI research. The inclusion of xAI’s Grok and various developer-centric tools like Cursor, Perplexity, and GitHub Copilot indicates that the extraction efforts have targeted not just the core models, but the entire stack of AI-integrated software currently dominating the market.
Categorization of Leaked Instructions
The leaked data is categorized by provider, highlighting the different architectural approaches taken by major tech firms:
- Anthropic: The focus here is on the evolution of the Claude series, including specialized versions like 'Claude Code' and 'Claude Design.' This suggests a move toward more task-specific system prompts tailored for programming and creative workflows.
- OpenAI: The leak highlights a bifurcation in the GPT 5.5 series between 'Thinking' (likely optimized for reasoning) and 'Instant' (optimized for speed), as well as the foundational Codex model.
- Google: The presence of Gemini 3.5 Flash and 3.1 Pro, along with 'Antigravity,' points toward a multi-tiered strategy for performance and efficiency.
- Developer Ecosystem: By including prompts for Cursor, VS Code, and Copilot, the repository provides insight into how AI is being steered within integrated development environments (IDEs).
Technical and Operational Significance
System prompts are critical because they act as the 'operating system' for the user's interaction with the AI. They contain the hidden rules that prevent models from generating harmful content, dictate their tone, and provide the context necessary for them to function as coding assistants or design tools. The extraction of these prompts allows researchers and developers to see the exact constraints placed on these models, which is often a closely guarded secret by the parent companies. The fact that this repository is 'regularly updated' suggests an ongoing effort to track how these instructions change over time as models are patched or updated by their creators.
Industry Impact
Transparency and Model Steering
The public availability of these system prompts forces a new level of transparency upon AI developers. While companies like OpenAI and Anthropic often provide high-level overviews of their safety guidelines, the actual system prompts reveal the granular logic used to steer model behavior. This can lead to a better understanding of 'jailbreaking' vulnerabilities and the limitations of current AI safety paradigms.
Competitive Intelligence and Benchmarking
For the AI industry at large, this leak serves as a form of competitive benchmarking. Developers can compare how different companies instruct their models to handle complex tasks or maintain a specific persona. For instance, comparing the system prompts of 'Claude Code' against 'GitHub Copilot' could reveal different philosophies in AI-assisted software development. This transparency may accelerate the adoption of best practices in prompt engineering across the industry, but it also poses a risk to the proprietary 'secret sauce' that companies use to differentiate their products.
Frequently Asked Questions
Question: Which specific AI models are included in the leak?
The leak includes prompts from Anthropic (Claude Fable 5, Opus 4.8, Claude Code, Claude Design), OpenAI (ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex), Google (Gemini 3.5 Flash, 3.1 Pro, Antigravity), xAI (Grok), and other tools like Cursor, Copilot, VS Code, and Perplexity.
Question: Who is responsible for the repository and is it being maintained?
The repository was created by a user named asgeirtj on GitHub. According to the project description, the collection is regularly updated as new system prompts are extracted from the various AI services.
Question: What is the significance of 'Thinking' and 'Instant' versions of GPT 5.5?
Based on the naming conventions in the leak, these variants likely represent different optimization paths for OpenAI's next-generation model: 'Thinking' likely focuses on high-latency, high-reasoning tasks, while 'Instant' is designed for rapid, low-latency responses.


