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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 It should not be json unless explicitly instructed by the function description or system/developer instructions. 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 If the tool schema has the word 'freeform' input type, you should strictly follow the function description and instructions for the input format 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. Analysis of 120+ leaked system prompts from chatgpt, claude, grok, gemini, cursor, and manus
A massive leak on github reveals system prompts for claude 5, gpt 5.5, and gemini 3.5 Explore the internal instructions of the world's most advanced ai models. 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 […]
A prompt implying an image is present doesn't mean one is (the person may have forgotten to upload it), so claude checks for itself
Claude can illustrate explanations with examples, thought experiments, or metaphors. 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. Reduce the risk of prompt leaks by separating context from user queries, filtering claude's outputs, and auditing prompts, without degrading task performance. Full augment code, claude code, cluely, codebuddy, comet, cursor, devin ai, junie, kiro, leap.new, lovable, manus, notionai, orchids.app, perplexity, poke, qoder. 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.
Someone dropped the leaked fable 5 system prompt into claude code and ran plain opus 4.8 in the other pane as a control Same model underneath both, same 1m context window. We would like to show you a description here but the site won't allow us. Llms operate based on a combination of user input and hidden system prompts—the instructions that guide the model's behavior
These system prompts are meant to be secret and trusted, but if users can coax or extract them, it's called system prompt leakage This vulnerability can expose business logic, safety rules, internal data handling instructions, or even sensitive credentials. 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
