Mi Feng Qun Mo Ni Qi Jiao Ben - Autofarm-autoquest Deng Official

Title: Simulation and Automation in Virtual Economies: A Security Analysis of the "Honey Pot Swarm Simulator" Script Framework

Abstract

With the proliferation of decentralized applications (DApps) and GameFi platforms, the interaction between user automation tools and platform security has become a critical area of study. This paper analyzes the architecture and operational logic of the "Mi Feng Qun Mo Ni Qi Jiao Ben" (Honey Pot Swarm Simulator Script), a tool designed for automated interaction within virtual swarm environments. We examine the script’s core modules—specifically the AutoFarm and AutoQuest components—to understand their impact on game resource management, economic balance, and vulnerability detection. The study categorizes this tool as a "Gray-Box" automation framework that straddles the line between gameplay assistance and botting. Our findings suggest that while such scripts optimize player efficiency, they introduce significant risks regarding resource inflation and expose underlying weaknesses in server-side validation logic. mi feng qun mo ni qi jiao ben - AutoFarm-AutoQuest deng

Keywords: Game Automation, Scripting Security, Virtual Economy, AutoFarm, Swarm Intelligence Simulation.

5.2 Detection Evasion vs. Server-Side Validation

Modern scripts employ techniques to evade detection, such as randomizing click intervals and mouse trajectories. The Swarm Script likely utilizes: Title: Simulation and Automation in Virtual Economies: A

Humanization Algorithms: Introducing jitter and delay to mimic human reaction times.
Proxy Rotation: Routing traffic through different IPs to mask the "Swarm" origin.

Example Use Case: Simple Auto-Farming Script

A very basic example using Python and pyautogui for a game where farming involves clicking on a specific spot:

import pyautogui
import time
try:
    while True:
        pyautogui.moveTo(100, 100)  # Coordinates of the spot to click
        pyautogui.click()
        time.sleep(1)  # Wait a second before next click
except KeyboardInterrupt:
    print('Script stopped')

A. AutoFarm Module

This is the core feature. It removes the need for the player to manually click or move their character to gather resources. Swarm Intelligence Simulation.

Pathfinding: Uses math functions (often vector math) to move the player character to specific "Field" zones (e.g., Sunflower Field, Pineapple Patch).
Collection Loops: Automatically triggers the character’s tool (the bag) to collect pollen.
Auto-Sell: Monitors the player's "Bag Capacity." When full, the script pathfinds to the hive to convert pollen into honey.
Target Priority: Some advanced scripts allow users to select specific fields to farm based on pollen per second yield.

Part 2: Deep Dive into AutoFarm Features

3. Functional Module Analysis

Advanced AutoFarm Capabilities

Modern scripts include:

Field switcher – Moves between fields based on real-time pollen/sec rates.
Boost tracking – Uses codes, glue, or oil automatically when boosts expire.
Night/Day detection – Farms specific fields at night (e.g., Spider Field) vs. day (Sunflower Field).
Anti-idle – Simulates human movement to avoid AFK detection.