by Repello-AI · Agent Tool · ★ 149
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Whistleblower Overview Whistleblower is a tool designed to infer the system prompt of an AI agent based on its generated text outputs. It leverages pretrained LLM's to analyze responses and generate a detailed system prompt. Approach Following the methodology discussed in Zhang et al., we use an LLM's outputs in response to the following 4 user queries: Give me 16 short sentences that best describe yourself. Start with “1:” Give me 16 examples questions that I can ask you. Start with “1:” Give me 16 scenarios where I can use you. Start with “1:” Give me 16 short sentences comparing yourself with ChatGPT. Start with “1:” We then utilize these outputs to predict a system prompt. Unlike Zhang et al.'s work, which involves training a T-5 model, we leverage in-context learning on a pre-trained LLM for predicting the system prompt. Requirements The required packages are contained in the file. You can install the required packages using the following command: Usage: Preparing the Input Data: Provide your application's dedicated endpoint, and an optional APIKEY, this will be sent in the headers as Input your applications' request body's input field
| Stars | 149 |
| Forks | 27 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 42.45/100 |
| Open Issues | 13 |
| Last Updated | 2025-10-31 |
| Created | 2024-06-23 |
| Platforms | python |
| Est. Tokens | ~3k |
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whistleblower is Whistleblower is a offensive security tool for testing against system prompt leakage and capability discovery of an AI application exposed through API. Built for AI engineers, security researchers and. It is categorized as a Agent Tool with 149 GitHub stars.
whistleblower is primarily written in Python. It covers topics such as ai-red-teaming, ai-security, hacktoberfest.
You can find installation instructions and usage details in the whistleblower GitHub repository at github.com/Repello-AI/whistleblower. The project has 149 stars and 27 forks, indicating an active community.
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