# Introduction

Verbal Warning Logger is a Discord moderation bot built with discord.py that helps server staff track, search, and manage verbal warnings issued to users. Everything is stored locally in SQLite — no external database required for core functionality.

## What it does

* **Log verbal warnings** with a reason, evidence link, and the moderator responsible
* **Search and paginate** the full warning history, filtered by user
* **Edit or delete** individual warnings through a clean modal interface
* **View leaderboards** of most-warned users or most-active moderators
* **Import historical punishments** from the Auttaja bot via Supabase
* **Run staff evaluation polls** with anonymous voting, vote limits, and reusable templates
* **Retrieve IDs** for channels, roles, and users in bulk

## Navigation

| Section                                          | Description                                       |
| ------------------------------------------------ | ------------------------------------------------- |
| [How to Use](/how-to-use/how-to-use.md)          | Command-by-command guide for moderators and staff |
| [Self-Hosting](/self-hosting/self-hosting.md)    | How to deploy your own instance                   |
| [Command Reference](/reference/commands.md)      | Quick-reference table of every command            |
| [Database Schema](/reference/database-schema.md) | Table definitions for both SQLite databases       |

## License

MIT — © 2026 Augy Studios


---

# 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.vigila.augystudios.com/overview/readme.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.