Certainly! Below is an enhanced version of your LowSkillBot script tailored to interact with Call of Duty (COD) by simulating mouse and keyboard inputs. This script leverages libraries like PyAutoGUI for input simulation and OpenCV for basic screen analysis. The bot maintains low skill characteristics, such as poor aiming accuracy and infrequent kills, by incorporating randomness and delays in its actions.

**⚠️ Disclaimer: Automating gameplay in online games like Call of Duty often violates the game's Terms of Service and can result in permanent bans. Use this script responsibly and exclusively for offline or personal projects. The author is not responsible for any misuse of this code.

Prerequisites
Python Libraries:
PyAutoGUI: For simulating mouse and keyboard inputs.
OpenCV (cv2): For screen capture and image processing.
Pillow (PIL): For image manipulation.
numpy: For numerical operations.
You can install these libraries using pip:

pip install pyautogui opencv-python pillow numpy
Game Settings:
Ensure the game window is in windowed or borderless mode for effective screen capture.
Disable any overlays that might interfere with screen capture.
Permissions:
Run the script with appropriate permissions to allow it to control mouse and keyboard inputs.
Enhanced LowSkillBot Script

import random
import time
import math
import pyautogui
import cv2
import numpy as np
from PIL import ImageGrab

class LowSkillBot:
    def __init__(self):
        # Initialize bot attributes
        self.health = 100
        self.state = "patrolling"
        self.target_acquired = False
        self.kill_count = 0
        self.last_enemy_time = None
        self.aim_accuracy = 0.1  # 10% accuracy
        self.reaction_delay = 1.5  # Seconds
        self.movement_delay = 0.5  # Seconds between actions
        self.shoot_chance = 0.05  # 5% chance to hit
        self.screen_width, self.screen_height = pyautogui.size()
        self.crosshair_region = (self.screen_width//2 - 10, self.screen_height//2 - 10, 20, 20)  # Center 20x20 pixels
        pyautogui.FAILSAFE = False  # Disable fail-safe to prevent exceptions when moving mouse

    def detect_enemy(self):
        """
        Simple enemy detection by analyzing the center of the screen.
        This is a placeholder and should be replaced with actual enemy detection logic.
        """
        # Capture the center region of the screen
        screenshot = ImageGrab.grab(bbox=self.crosshair_region)
        screenshot = cv2.cvtColor(np.array(screenshot), cv2.COLOR_RGB2BGR)
        
        # Convert to grayscale and apply threshold
        gray = cv2.cvtColor(screenshot, cv2.COLOR_BGR2GRAY)
        _, thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)
        
        # If there are bright spots, assume enemy presence
        bright_pixels = cv2.countNonZero(thresh)
        if bright_pixels > 5:  # Arbitrary threshold
            print("[Detection] Enemy detected at center screen.")
            return True
        return False

    def aim_and_fire(self):
        """
        Simulate poor aiming and attempt to shoot.
        """
        # Randomly move the mouse with low precision to simulate poor aim
        move_x = random.randint(-100, 100) * (1 - self.aim_accuracy)
        move_y = random.randint(-100, 100) * (1 - self.aim_accuracy)
        pyautogui.moveRel(move_x, move_y, duration=0.1)
        print(f"[Aiming] Moved mouse by ({move_x:.2f}, {move_y:.2f})")

        # Simulate shooting with low accuracy
        if random.random() < self.shoot_chance:
            pyautogui.click()
            self.kill_count += 1
            print("[Shot] Fired and hit!")
        else:
            pyautogui.click()
            print("[Shot] Fired and missed.")

    def move_randomly(self):
        """
        Simulate random movement using WASD keys.
        """
        direction = random.choice(['w', 'a', 's', 'd'])
        pyautogui.keyDown(direction)
        move_duration = random.uniform(0.1, 0.5)
        print(f"[Movement] Pressed '{direction}' for {move_duration:.2f} seconds.")
        time.sleep(move_duration)
        pyautogui.keyUp(direction)

    def update_state(self):
        """
        Update the bot's state based on detection and internal logic.
        """
        if self.state == "patrolling":
            enemy_detected = self.detect_enemy()
            if enemy_detected:
                self.last_enemy_time = time.time()
                time.sleep(self.reaction_delay)
                self.state = "engaging"
            else:
                self.move_randomly()
        elif self.state == "engaging":
            if self.detect_enemy():
                self.aim_and_fire()
            else:
                print("[Engaging] Lost sight of the enemy.")
                self.state = "patrolling"
        elif self.state == "retreating":
            self.retreat()
            if self.health > 60:
                self.state = "patrolling"

    def retreat(self):
        """
        Simulate retreating by moving backward randomly.
        """
        retreat_direction = random.choice(['w', 'a', 's', 'd'])
        # Reverse direction for retreat
        reverse_direction = {
            'w': 's',
            's': 'w',
            'a': 'd',
            'd': 'a'
        }.get(retreat_direction, 's')
        pyautogui.keyDown(reverse_direction)
        retreat_duration = random.uniform(0.5, 1.5)
        print(f"[Retreating] Pressed '{reverse_direction}' for {retreat_duration:.2f} seconds.")
        time.sleep(retreat_duration)
        pyautogui.keyUp(reverse_direction)

    def simulate(self):
        """
        Main loop to run the bot's actions.
        """
        print("[Bot] Starting LowSkillBot simulation.")
        try:
            while self.kill_count < 1:  # Continue until one kill is achieved
                print(f"Current State: {self.state}")
                self.update_state()
                time.sleep(self.movement_delay)
        except KeyboardInterrupt:
            print("[Bot] Simulation stopped by user.")

        print(f"[Bot] Simulation ended. Total Kills: {self.kill_count}")

if __name__ == "__main__":
    # Give the user a short delay to switch to the game window
    print("Starting in 5 seconds. Switch to Call of Duty window.")
    time.sleep(5)
    
    # Instantiate and run the bot
    bot = LowSkillBot()
    bot.simulate()
Key Enhancements and Features
Input Simulation with PyAutoGUI:
Mouse Movement: The bot randomly moves the mouse with low precision to simulate poor aiming.
Shooting: It performs mouse clicks with a low chance of hitting the target.
Keyboard Inputs: Simulates random movement using the WASD keys with varied durations.
Basic Enemy Detection:
Captures the center region of the screen and analyzes it for bright pixels, assuming an enemy presence if detected. This is a rudimentary method and can be improved with more sophisticated image recognition techniques.
State Management:
Patrolling: Moves randomly and looks for enemies.
Engaging: Attempts to aim and fire upon detecting an enemy.
Retreating: Moves in the opposite direction when health is low (placeholder logic for health management).
Randomness and Delays:
Introduces randomness in movement and aiming to ensure the bot's behavior remains inconsistent and poorly skilled.
Incorporates delays to mimic human reaction times and reduce predictability.
Kill Count Tracking:
The bot continues its simulation until it achieves one kill, aligning with the "1 kill every 20 games" low-performance expectation (adjustable as needed).
Potential Improvements
Advanced Enemy Detection:
Integrate more sophisticated computer vision techniques to accurately detect enemies, such as template matching, feature detection, or machine learning models.
Health Management:
Implement logic to monitor and respond to the bot's health, triggering retreat behaviors when necessary.
Strategic Movement:
Develop patterns or strategies for movement to make the patrolling and engaging behaviors more nuanced, even if intentionally suboptimal.
Logging and Metrics:
Enhance logging to capture more detailed metrics about the bot's performance, aiding in fine-tuning its behavior.
Configuration Parameters:
Allow external configuration of parameters such as movement speed, accuracy levels, and detection sensitivity for greater flexibility.


Lets add onto this!!! you started it and lets finish the script off strong!

*(adds all features lusted above to the script)*