This is the Linux app named CL4R1T4S whose latest release can be downloaded as CL4R1T4Ssourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named CL4R1T4S with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
CL4R1T4S
DESCRIPTION:
CL4R1T4S is a public repository that collects and archives extracted system prompts, internal guidelines, and behavioral instructions used by various artificial intelligence models and agents. Its stated goal is to promote transparency by documenting the hidden prompt scaffolding that shapes how AI systems behave and respond to users. CL4R1T4S organizes these materials by company or product, with directories containing prompt files and related instructions for many well-known AI systems. These files typically include text documents that represent internal system messages, tool instructions, or operational guidelines that influence model responses. According to the its description, the initiative is motivated by the idea that understanding the input instructions behind an AI system helps users better interpret its outputs. Contributors are encouraged to add newly discovered or extracted prompts, along with information such as the model version, extraction date, and etc.
Features
- Repository of extracted system prompts from multiple AI platforms
- Organized directories for different AI providers and agents
- Text files containing internal instructions and behavioral guidelines
- Community contribution model for adding newly discovered prompts
- Metadata suggestions such as model version and extraction date
- Focus on documenting how system prompts influence AI responses
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/cl4r1t4s.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.