# AI Chat Prompts

A list of potential commands/chat prompt to interact with AquilaX (Securitron). Of course, you don't need to folow the below, as it's just some example, but is good as a starting point

| Prompt                                                 | Expected output                                                                | AI Model                 |
| ------------------------------------------------------ | ------------------------------------------------------------------------------ | ------------------------ |
| Hey                                                    | Greating message from AquilaX                                                  | Security Engineer (QNA)  |
| Give me a summary report                               | Create an executive report of all vulnerabilities of your organization         | Security Engineer (TAGS) |
| Start a scan                                           | A link to initiate a new scan                                                  | Security Engineer (TAGS) |
| Who am I?                                              | Will tell you who you are                                                      | Security Engineer (TAGS) |
| show all members of the organization                   | Will print out all users having access to your selected / current organization | Security Engineer (TAGS) |
| Give me the security tasks for the entire organization | Will print the list of actions you should pay attention                        | Security Engineer (TAGS) |
| Groups                                                 | will list all the groups belonging to the current organization                 | Security Engineer (TAGS) |
| What is XSS?                                           | Will explain what is XSS                                                       | Security Engineer (QNA)  |

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.aquilax.ai/user-manual/ai-chat-prompts.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
