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GitHub Repository system_prompts_leaks Compiles Extracted System Prompts from Leading Frontier AI Models
Open SourceSystem PromptsOpen Source AIPrompt Engineering

GitHub Repository system_prompts_leaks Compiles Extracted System Prompts from Leading Frontier AI Models

A trending open-source GitHub repository titled 'system_prompts_leaks', created by developer asgeirtj, has assembled a centralized repository of extracted system prompts from leading artificial intelligence providers. The project gathers underlying system-level instructions from Anthropic (including Claude Fable 5.1, Opus 5, Claude Design, and Claude Code), OpenAI (highlighting ChatGPT GPT-6-Astra and Codex), Google (covering Gemini 3.8 Flash, 3.1 Pro, and Antigravity), and xAI (featuring Grok and Grok Bot), alongside developer tools such as Cursor and platforms like Kimi. Positioned as an ongoing initiative with regular updates, the repository compiles the instructional baselines that govern system behaviors, offering researchers and developers direct visibility into the prompt configurations employed across modern conversational, reasoning, and coding assistants.

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Key Takeaways

  • Comprehensive Prompt Aggregation: The system_prompts_leaks repository on GitHub aggregates extracted system prompts across major frontier AI labs and systems, including Anthropic, OpenAI, Google, xAI, Cursor, and Kimi.
  • Broad Model Coverage: The collection spans general conversational models, specialized coding assistants, and experimental interfaces such as Claude Fable 5.1, Opus 5, Claude Design, Claude Code, ChatGPT GPT-6-Astra, Codex, Gemini 3.8 Flash, Gemini 3.1 Pro, Antigravity, Grok, and Grok Bot.
  • Regularly Maintained Resource: Maintained by developer asgeirtj, the project is structured with regular updates to track changes and additions to system prompts across evolving AI platforms.
  • Increased Architectural Visibility: By publishing the instructions that guide model behavior, guardrails, and role definitions, the repository provides insight into how major AI organizations direct their systems behind the scenes.

In-Depth Analysis

Scope of Extracted Prompts Across Frontier AI Labs

The system_prompts_leaks repository compiles system-level prompts extracted directly from the software ecosystems of primary artificial intelligence organizations. At the core of large language model implementations, system prompts serve as the fundamental guiding layer—establishing the model's persona, operational constraints, safety guardrails, and contextual response formats before user interaction begins.

Within this compilation, several top-tier frontier research organizations are documented:

  • Anthropic Ecosystem: The repository extracts instructions spanning multiple Anthropic tools and iterations, encompassing Claude Fable 5.1, Opus 5, Claude Design, and Claude Code. This highlights instructions geared not only toward core conversational reasoning (such as the Opus series) but also specialized design generation and programmatic software workflows (Claude Design and Claude Code).
  • OpenAI Implementations: The collection incorporates system prompts originating from OpenAI systems, specifically pointing to ChatGPT GPT-6-Astra and Codex. This captures both conversational foundation models and dedicated coding systems.
  • Google Deployments: Google's frontier configurations within the repository cover Gemini 3.8 Flash, Gemini 3.1 Pro, and Antigravity, offering documentation of instructions across high-speed efficiency tiers, advanced reasoning tiers, and specialized system configurations.
  • xAI Environments: System prompts from xAI include deployments across Grok and the automated Grok Bot framework, capturing the personality and behavior parameters designed by the organization.

Coverage of Specialized Coding Tools and Alternative Assistants

In addition to frontier foundation model developers, the repository documents system prompts extracted from developer-focused environments and alternative conversational services. Notably, the repository includes configurations from Cursor—an AI-integrated development environment that heavily relies on background prompt instructions to manage context, code diffing, and programmatic code generation.

Similarly, the collection includes prompts from Kimi, a major conversational platform, indicating that the repository's tracking extends internationally across multiple independent ecosystems. By compiling these diverse architectures in a single location, the project highlights how different systems configure operational context, handle tool calls, and structure interactive assistance.

Repository Maintenance and Transparency Mechanics

Published on GitHub Trending by creator asgeirtj, the repository is explicitly characterized by its commitment to regular updates ("定期更新"). Because AI companies periodically revise, update, and patch their system prompts to mitigate unintended outputs, alter formatting preferences, or incorporate new feature flags, system prompt versions can shift rapidly over time.

A continuously updated public repository provides a versioned record of how these baseline instructions evolve. By surfacing the raw extracted text, the project allows developers and AI practitioners to study prompt design strategies, behavioral steering methodologies, and constraint definitions used by leading commercial deployments.

Industry Impact

The public availability of extracted system prompts in repositories such as system_prompts_leaks influences multiple aspects of the artificial intelligence sector:

  1. Prompt Engineering and System Design Best Practices: Developers and enterprise practitioners frequently look to frontier labs for best practices in instruction design. By analyzing the extracted system prompts of systems like Claude Code, Cursor, and Codex, engineers can observe how top labs handle complex tool integration, error recovery, style consistency, and multi-turn context retention.
  2. Security, Transparency, and Jailbreak Auditing: System prompts often contain explicit boundaries detailing what a model must not do, including safety refusals and domain restrictions. When these instructions become public, security researchers can evaluate the robustness of system defenses, while also identifying potential vulnerabilities where user inputs might circumvent specified rules.
  3. Demystification of Model Behaviors: Discrepancies between base model capability and final chat output are frequently driven by system prompt modifications. Access to the underlying prompts across Google, Anthropic, OpenAI, and xAI demystifies how much of an AI product's observed personality, speed, or coding syntax is attributable to underlying model weights versus explicit system-level instructions.

Frequently Asked Questions

What is the system_prompts_leaks repository?

The system_prompts_leaks repository is an open-source project hosted on GitHub by author asgeirtj that compiles extracted system prompts from leading AI providers, including Anthropic, OpenAI, Google, xAI, Cursor, and Kimi.

Which specific models and tools are covered in the repository?

The repository explicitly includes extracted prompts from Anthropic (Claude Fable 5.1, Opus 5, Claude Design, Claude Code), OpenAI (ChatGPT GPT-6-Astra, Codex), Google (Gemini 3.8 Flash, 3.1 Pro, Antigravity), xAI (Grok, Grok Bot), Cursor, and Kimi, among others.

How frequently is the repository maintained?

According to the repository's description, the project is maintained on a regular basis, providing periodic updates as new system prompts are extracted or updated across the covered AI systems.

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