Unsuspicious Stew

Displays all Effects of a Suspicious Stew in the Tooltip and Hotbar

760 Downloads

fabricutility

About this Mod

This mod Displays all effects a Suspicious Stew Item has plus the duration of each effect in the tooltip of the item and when you swap onto it in the hotbar.

By using this mod you'll never get surprised of the effects of a Suspicious Stew. Stay healthy and don't poison yourself!

Available Versions

Unsuspicious Stew 0.3 (1.19.4)beta

MC 1.19.4fabric

March 19, 2023

Unsuspicious Stew 0.2 (1.19.2)beta

MC 1.19.2fabric

October 23, 2022

How to Install Unsuspicious Stew on Your Server

Order Server

Order a Minecraft Java server with at least 3 GB RAM (4 GB recommended).

Set fabric Loader

In the panel under "Egg", select the fabric loader and matching Minecraft version (1.19.4).

Install Mod

Open the mod browser in the dashboard and search for " Unsuspicious Stew". Click "Install" – done! Alternatively, upload the .jar via SFTP to the /mods folder.

Compatibility

Mod Loaders

fabric

Minecraft Versions

1.19.4, 1.19.2

Server-side

✗ Unsupported

Recommended RAM

4 GB(min. 3 GB)

Frequently Asked Questions

Unsuspicious Stew server crashes on startup – what to do?

Most common cause: wrong fabric version or insufficient RAM. Check the server log (latest.log) for "OutOfMemoryError" or "Mixin" errors. With Mado Hosting: ensure at least 3 GB RAM is allocated and the loader matches the mod version (1.19.4). You can switch loaders with one click in the panel.

Is Unsuspicious Stew compatible with fabric?

Unsuspicious Stew officially supports fabric for Minecraft 1.19.4, 1.19.2. The Mado dashboard automatically detects incompatible loader combinations.

Server lagging with Unsuspicious Stew – how to optimize performance?

Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if Unsuspicious Stew consumes the most tick time. Common fixes: reduce server view-distance to 8-10, install "performant" or "starlight" as supplementary mods on Forge. With Mado Hosting, your server runs on NVMe SSDs with dedicated CPU cores for minimal latency.