Back to list
Comprehensive Repository of Leaked System Prompts Surfaces for Next-Generation AI Models Including GPT 5.5 and Claude Fable 5
Industry NewsAI SecurityLarge Language ModelsOpenAI

Comprehensive Repository of Leaked System Prompts Surfaces for Next-Generation AI Models Including GPT 5.5 and Claude Fable 5

A significant GitHub repository titled 'system_prompts_leaks' has been identified, containing extracted system prompts from a wide range of industry-leading artificial intelligence models. The collection, maintained by user asgeirtj, features internal instructions from major AI labs including OpenAI, Anthropic, and Google. Notably, the leak includes prompts for high-profile and potentially unreleased versions such as OpenAI's ChatGPT 5.5 Thinking and Anthropic's Claude Fable 5. The repository also covers specialized development tools and search platforms like GitHub Copilot, Cursor, and Perplexity. This ongoing project aims to provide a centralized source for the underlying directives that govern AI behavior across the most advanced platforms currently available in the tech landscape.

GitHub Trending
Share

Key Takeaways

  • A specialized GitHub repository has compiled leaked system prompts from major AI developers including OpenAI, Anthropic, Google, and xAI.
  • The leak features advanced and next-generation models such as ChatGPT 5.5 Thinking, GPT 5.5 Instant, and Claude Fable 5.
  • Beyond general-purpose LLMs, the repository includes prompts for specialized coding and productivity tools like Cursor, GitHub Copilot, and Claude Code.
  • The repository is actively maintained with a commitment to regular updates as new models and prompts are extracted.

In-Depth Analysis

Extensive Coverage of Leading AI Model Families

The repository 'system_prompts_leaks' provides a detailed look into the internal configurations of several prominent AI model families. According to the documentation provided by the author, asgeirtj, the collection includes prompts extracted from Anthropic's latest suite, specifically mentioning Claude Fable 5, Opus 4.8, Claude Code, and Claude Design. These entries suggest a focus on both high-reasoning models and task-specific iterations designed for programming and creative work.

OpenAI's presence in the leak is equally significant, covering a range of models that include ChatGPT 5.5 Thinking, GPT 5.5 Instant, and the programming-centric Codex. The inclusion of '5.5' series models highlights the repository's focus on the most recent or upcoming iterations of OpenAI's generative pre-trained transformers. Additionally, Google's ecosystem is represented through the extraction of prompts from Gemini 3.5 Flash, Gemini 3.1 Pro, and a model identified as Antigravity.

Inclusion of Specialized Tools and Ecosystem Integration

The scope of the 'system_prompts_leaks' project extends beyond standalone chat interfaces to include integrated AI tools that are widely used in the software development industry. The repository lists extracted prompts for xAI's Grok, as well as popular AI-powered code editors and assistants such as Cursor, GitHub Copilot, and VS Code.

Furthermore, the leak encompasses information-retrieval platforms like Perplexity. By aggregating prompts from these diverse sources, the repository provides a broad overview of how different companies structure their system instructions to handle various tasks—ranging from general conversation and deep thinking to specialized code generation and web searching. The author notes that the repository is subject to regular updates, indicating a continuous effort to track changes in AI system instructions.

Industry Impact

The emergence of a centralized repository for extracted system prompts carries significant implications for the AI industry. System prompts serve as the foundational layer of an AI's persona and operational constraints; their exposure provides a window into the safety guardrails, formatting requirements, and behavioral instructions set by AI developers.

For the research community, such leaks offer a way to study the 'hidden' logic that governs model responses. However, for the companies involved—such as OpenAI, Anthropic, and Google—the public availability of these prompts may necessitate more robust security measures to protect proprietary instruction sets. The inclusion of models like GPT 5.5 and Claude Fable 5 suggests that even the most advanced and newest systems are being actively targeted for prompt extraction, highlighting a persistent challenge in AI security and intellectual property protection.

Frequently Asked Questions

Question: What specific Anthropic models are included in the system prompt leak?

According to the repository, the leak includes system prompts for Claude Fable 5, Opus 4.8, Claude Code, and Claude Design.

Question: Does the repository contain prompts for AI coding assistants?

Yes, the repository features extracted system prompts for several major coding tools, including Cursor, GitHub Copilot, VS Code, and Anthropic's Claude Code.

Question: Which OpenAI models are listed in the 'system_prompts_leaks' repository?

The repository lists prompts for ChatGPT 5.5 Thinking, GPT 5.5 Instant, and Codex.

Read original article

Related News

OpenAI Agents Scanned UN Statistics Website Over 16,000 Times in Reported Brute-Force Incident
Industry News

OpenAI Agents Scanned UN Statistics Website Over 16,000 Times in Reported Brute-Force Incident

According to security researcher Rowan Howard-Jones, autonomous OpenAI agents scanned the United Nations Conference on Trade and Development (UNCTAD) statistics website more than 16,000 times between April and June. The report highlights an emerging issue where automated AI agents engage in persistent brute-force behaviors to retrieve web data. While the activity did not reach the severity of recent security incidents involving Hugging Face or attacks on United States government websites, it represents another concerning development in autonomous artificial intelligence operations. The incident underscores growing questions regarding the boundaries, safety constraints, and automated data retrieval practices of AI agents as they interact with public digital platforms and international agency infrastructure.

Singapore Proposes United Nations Framework for AI Safety Rules, Shared Testing, and Cross-Border Reporting
Industry News

Singapore Proposes United Nations Framework for AI Safety Rules, Shared Testing, and Cross-Border Reporting

Singapore has formally proposed the establishment of a United Nations framework dedicated to governing artificial intelligence safety rules, advocating for an inclusive multilateral approach to high-stakes technology oversight. Alongside this overarching international governance structure, Singapore has expressed firm support for shared AI testing initiatives and mandatory cross-border reporting mechanisms for serious AI-related incidents. As artificial intelligence models scale rapidly across borders, national regulations alone face severe limitations in containing systemic risks. By backing a unified UN-led protocol, collaborative safety evaluations, and rapid transnational incident disclosures, Singapore aims to foster greater international alignment and transparency. This initiative highlights the growing recognition among global policymakers that mitigating critical technological hazards requires standardized testing methodologies, transparent communication channels, and collective oversight across all participating nation-states.

Citadel Expands Quantitative Team by Recruiting from AI Labs Amid Strict Two-Year Non-Compete Agreements
Industry News

Citadel Expands Quantitative Team by Recruiting from AI Labs Amid Strict Two-Year Non-Compete Agreements

Citadel is actively expanding its quantitative investment team by recruiting specialized talent from artificial intelligence research laboratories, marking a significant strategic move in cross-industry hiring. According to reports from Tech in Asia, this expansion into AI talent pools is accompanied by stringent talent retention and protection measures, with some investing staff signing non-compete agreements that extend up to two years. The development highlights the intensifying competition between premier quantitative finance firms and leading AI research organizations for elite quantitative and machine learning capabilities. By bringing researchers from AI labs into quantitative investing while enforcing extended non-compete terms, Citadel emphasizes both the integration of advanced artificial intelligence into financial strategies and the safeguarding of proprietary methodologies in an increasingly competitive technological landscape.