Runescape Bot

Requirements

• Node.JS 18.16.1
  • nvm install v18.16.1
  • nvm use v18.16.1
  • Problems with newer versions (tensorflow/tfjs#7793)
• Python Version 3.11.5
• Node Version Manager(Recommended):
  • https://github.com/nvm-sh/nvm

How to Run

Install Packages:

npm install

Run Program

npm start

End Program

Ctrl + c

Overview

Synopsis:

This proposal is for creating a botting program that runs onto of a game and mimics human mouse movements to avoid anti-cheat systems. MMOBot would give users a way to automate tasks within an game and complete ingame anti-botting features. The proposed game this bot would be built for is for the mmo "Old School Runescape"

Game Choice:

Runesape:

- Lacks client side anti-cheat(Easy Anti-Cheat/Battle-Eye)
  - Allows programs to run onto of the game without knowledge of game creators
- Relatively Simplistic Gameplay
  - Movement is tile based
- Lots of repetative tasks
  - Leveling involves doing one task multiple times
  - Many skills involve predictible and repetitive movements
- Limited Controls
  - Controls limited to click-to-move and simple keyboard shortcuts
  - Game is playable through the use of only mouse

Overall Goals:

• Capture natural mouse movemements and create a model for the botting program to follow
• Successfully automate tasks within the game(Agility)
• Complete Random Event/AntiBotting events
• Error correction in case of bot leaving training area
• Bot scheduling for auto login and auto log off

Possible Technologies:

Front-End:

- Javascript,CSS,HTML
- Vuejs(https://vuejs.org/)

Back-End:

- Electron(https://www.electronjs.org/) - For javascript based desktop app
- nodeJS(https://nodejs.org/en)
- nutjs(https://nutjs.dev/) - For desktop automation

Bot General Ideas

Bot Abilities:

• Following Agility Course
• Dismissing ingame Random Events/Ignoring
• Picking up items

Natural Mouse Movements:

• Record mouse movements of agility training lap
• Mouse movements segemented into parts
• Create Decision Tree to generate natural mouse movements based on recorded data
• Program decides on mouse movements by deciding which data point in a segement is more "natural"(closest, and similar mouse speed"
• Once all segements are decided a full potential mouse path is created

Random Events:

• Added random events to bot to simulate real person playing
• AFK times
• Disruptions (person walks in)
• Tabbing out
• Loss of concentration
• Intentional ineffiecency

Automatic Scheduling(Imitating a real persons daily life):

• Login/Logout
• Sleep cycle
• Work/School
• Meal Times
• Break Periods

Failure Correction:

• Leaving training area
• Avoiding bot behaviours(walking in to walls/Clicking on invalid Areas)
• Fail safes for when situation unrecoverable(Logging out/Teleporting Out)# Capstone