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Skribbl Autoguesser

The best script currently out there for skribbl.

Autor
Zachary Kosove
Denně instalací
2
Celkem instalací
2.076
Hodnocení
0 0 0
Verze
1.01
Vytvořeno
13. 08. 2024
Aktualizováno
16. 08. 2024
Size
11,9 KB
Kompatibilita
Kompatibilní s Firefox Kompatibilní s Chrome Kompatibilní s Opera Kompatibilní s Safari Kompatibilní s Edge
Licence
MIT
Spustit na

Skribbl Autoguesser


This userscript improves your game by automatically guessing words based on hints and past answers. Features include auto-guessing, word filtering, wordlist export, and more.

Features:

  • Auto Guessing: Automatically guesses words using patterns and stored correct answers.
  • Possible Words List: Displays a filtered list of possible words, using hint filtering and pattern matching.
  • Wordlist Updates: Updates the possible words list when new words are discovered, adding them to the global list during your drawing turn.
  • Export New Words: Export newly discovered words to a text file. These can be shared with the community wordlist on GitHub.

Planned Features:

  • Auto-leave / Auto-change Lobbies: Automatically leave or change lobbies to avoid getting kicked.
  • Neural Net for Word Sorting: Plans to use a neural network to improve word sorting, potentially using an open-source model from Google.
  • Humanized Auto-draw: Simulates human-like drawing behavior, with community support and auto-saving of other players' drawings.
  • Randomized Auto-guess Timing: Adds randomness to auto-guess timing for more natural behavior.

Usage:


The script runs automatically after installation. Toggle auto-guessing with the "Auto Guess" button and export new words with the "Export Answers" button in the settings panel at the bottom right of the screen.

Installation:


To install, use a userscript manager like Tampermonkey or Violentmonkey. Then click the "Install this script" button on Greasy Fork.

Dependencies:

  • This script uses GM_getValue and GM_setValue to store and retrieve data.
  • It fetches data from an external wordlist on GitHub.

Contributing:


Contributions are welcome! Report issues or suggest improvements on the GitHub repository.

License:


This script is licensed under the MIT License.