Leaked System Prompts Comprehensive Content Access #683

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Someone just leaked a massive list of system prompts used by some of the biggest names in ai cursor, manus, bolt, lovable, and more What the hidden rules reveal about safety, personality, and refusals — with examples. Over 6,500 lines of actual prompts that these tools use behind the scenes.

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System prompts differ from user prompts in that they are typically invisible to end users and establish the foundational behavior of the ai system, while user prompts are the specific queries or requests made during interaction with the model The leaked system prompts from chatgpt, claude, and gemini, decoded The big prompt library repository is a collection of various system prompts, custom instructions, jailbreak prompts, gpt/instructions protection prompts, etc

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For various llm providers and solutions (such as chatgpt, microsoft copilot systems, claude, gab.ai, gemini, cohere, etc.) providing significant educational value in learning about.

This repository (system_prompts_leaks) serves as a comprehensive archive of system prompts, system messages, and developer messages from major ai providers It documents the internal instructions and architectural specifications that define how large language models behave, including their tool integrations, safety constraints, memory systems. A repo collecting system prompts from 28+ ai coding tools just hit 134k stars Here's what the prompts reveal about how these tools actually work.

Study leaked ai system prompt examples for claude, chatgpt, gemini, cursor, copilot, grok, perplexity, and coding agents responsibly. Ethics, diffs, vs skills, and what builders should copy. A specialized github repository has compiled leaked system prompts from major ai developers including openai, anthropic, google, and xai The system prompt leakage vulnerability in llms refers to the risk that the system prompts or instructions used to steer the behavior of the model can also contain sensitive information that was not intended to be discovered

System prompts are designed to guide the model's output based on the requirements of the application, but may […]

If you're an ai startup, make sure your data is secure Exposed prompts or ai models can easily become a target for hackers Interested in securing your ai systems Check out zeroleaks, a service designed to help startups identify and secure prompt injection and system prompt extraction risks.

They're often the best manual for how an app is intended to work. Full augment code, claude code, cluely, codebuddy, comet, cursor, devin ai, junie, kiro, leap.new, lovable, manus, notionai, orchids.app, perplexity, poke, qoder. Reduce the risk of prompt leaks by separating context from user queries, filtering claude's outputs, and auditing prompts, without degrading task performance. If you would like to submit a pr, please match the format of other documents

You must include sources that i can verify or reproducible prompts.

On june 10, 2026, the x account pliny the liberator (@elder_plinius), known for extracting and publishing system prompts from frontier models, posted what he presented as the complete claude fable 5 system prompt, with the full file in his cl4r1t4s github repository The post passed 700k views in its first days. We would like to show you a description here but the site won't allow us. Tools are grouped by namespace where each namespace has one or more tools defined

By default, the input for each tool call is a json object If the tool schema has the word 'freeform' input type, you should strictly follow the function description and instructions for the input format It should not be json unless explicitly instructed by the function description or system/developer instructions. A comprehensive collection of leaked chatgpt system prompts revealing its internal modular architecture

This repository documents the core tools, conditional features, specialized assistants, and their activation mechanisms, providing insights into how chatgpt coordinates different components and manages tool availability based on context and configuration.