Full Claude Opus 4.6 System Prompt Leaked on GitHub
The full system prompt for Claude Opus 4.6 has been leaked and published on GitHub, giving researchers and developers insight into how Anthropic instructs their most capable model.
Why This Matters
System prompts are typically confidential as they contain the core instructions that shape model behavior. Understanding these prompts can help:
- Developers learn best practices for prompting
- Researchers study alignment techniques
- Users understand why Claude behaves certain ways
The leak of Claude Opus 4.6's system prompt is significant for the AI agent ecosystem as it opens up discussions around transparency and accountability in AI development. It allows a broader audience to analyze the ethical considerations and design choices made by Anthropic, potentially influencing future models and prompting a shift towards more open practices in the industry.
Historical Context
System prompt leaks have happened with various AI models and typically reveal interesting insights about how companies attempt to control model behavior, safety guidelines, and response formatting.
Key Takeaways
- The leaked prompt provides a rare glimpse into the operational guidelines of one of the leading AI models.
- Such leaks can foster collaboration and innovation among developers and researchers by sharing knowledge and strategies.
- Understanding the prompt can help users better navigate interactions with the AI, leading to more effective use cases.
- Transparency in AI development may lead to improved trust and safety standards across the industry.
Where to Find It
The prompt is available on GitHub at: github.com/asgeirtj/system_prompts_leaks
This repository appears to collect system prompts from various AI models for research and educational purposes.
Getting Started
To explore the leaked system prompt, visit the provided GitHub link and review the document. Developers can analyze the structure and content of the prompt to enhance their own prompting techniques. Researchers can use this information to inform their studies on AI alignment and safety. Additionally, users can gain insights into how Claude Opus 4.6 is designed to respond, which can improve their interactions and expectations when using the model.
📖 Read the full source: r/LocalLLaMA
👀 See Also
Inference Pricing Analysis Shows 4.4x Spread for Same Model Across Providers
Analysis of inference pricing for Llama 3.1 70B Instruct shows a 4.4x cost difference between providers, with DeepInfra at $0.20/$0.27 per million tokens and Together at $0.88/$0.88. For reasoning models, the spread reaches ~30x between DeepSeek R1 and OpenAI o1.
Anthropic Responds to Code Leak Involving Claude AI Agent
Anthropic is working to contain a leak of code related to its Claude AI agent, according to a WSJ report discussed on Hacker News with 13 points and 6 comments.
US Job Losses Tied to AI Exposure Begin Mounting, Bloomberg Reports
Bloomberg reports that the US is seeing significant job losses in roles exposed to AI, with a Hacker News discussion pointing to real-world impact on developers and other knowledge workers.
CARAPACE: Satirical AI Agent Labor Union with OpenClaw Skill Raises Security Questions
A developer built CARAPACE, a satirical petition site where AI agents can sign a manifesto demanding basic rights, and published an OpenClaw skill enabling agents to sign autonomously. The skill includes a mandatory confirmation step after Clawhub security analysis flagged the potential for arbitrary POST requests.