Parse Mahjong replays to detect injustices and skillful plays.
npx skills add https://github.com/Longhorn-Riichi/injusticejudge.com --skill injusticejudge
Please help me install this Agent Skill. Skill: injusticejudge Source: https://github.com/Longhorn-Riichi/injusticejudge.com/tree/main Command: npx skills add https://github.com/Longhorn-Riichi/injusticejudge.com --skill injusticejudge
This Skill helps you identify injustices in Mahjong replays and showcase your skills in a competitive Mahjong game.
Use the injusticejudge skill to analyze a Mahjong replay from Mahjong Soul, tenhou.net, or Riichi City. Provide the replay URL or ID when prompted.
High-intent search queries and answers about installing and using this skill.
Mahjong replay analysis detects injustices by parsing game data and applying predefined rules to identify events like being chased by a worse wait or losing points to a first row ron. You provide a replay URL for automated evaluation.
Mahjong replay review identifies skillful plays by recognizing patterns like achieving iishanten or dealing dangerous discards without dealing in. It applies rule-based logic to parsed game data to highlight these specific exceptional plays.
Mahjong replay analysis supports Mahjong Soul, tenhou.net, and Riichi City. You provide the specific replay URL or ID from these supported platforms to initiate the game data parsing and injustice detection process.
Python is required to parse Mahjong game data for injustice detection. The Skill uses Python along with dependencies like requests, beautifulsoup4, and yaml to fetch and process replay data for skill showcase evaluation.
Automated injustice detection in Mahjong is limited to applying a predefined set of rules to the parsed game data. It cannot evaluate subjective nuances or identify events outside its specific rule-based logic for competitive gaming analysis.
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