Below you will find pages that utilize the taxonomy term “michael-bey”
March 27, 2026
GASS - Github Activity Scoring System
Version updated for https://github.com/michael-bey/gass to version v1.2.2.
This action is used across all versions by ? repositories. Action Type This is a Node action using Node version 20.
Go to the GitHub Marketplace to find the latest changes.
Action Summary The GitHub Activity Scoring System (GASS) is a GitHub Action that automates the evaluation of pull request code quality using AI and stores the results on-chain via the O2 Oracle. It addresses the need for objective, merit-based developer metrics by generating a quality score (0–100) for each PR and updating contributor records, enabling transparent and Sybil-resistant token distribution or standalone developer analytics.
March 25, 2026
GASS - Github Activity Scoring System
Version updated for https://github.com/michael-bey/gass to version v1.1.0.
This action is used across all versions by ? repositories. Action Type This is a Node action using Node version 20.
Go to the GitHub Marketplace to find the latest changes.
Action Summary The GASS GitHub Action uses AI to analyze and score the quality of pull request code, then stores the results on-chain using the O2 Oracle platform. It automates code quality reviews, enabling repositories to generate developer performance metrics for use in applications such as token distribution, contributor reputation systems, and community rewards.
December 20, 2025
GASS - Github Activity Scoring System
Version updated for https://github.com/michael-bey/gass to version v1.0.1.
This action is used across all versions by ? repositories. Go to the GitHub Marketplace to find the latest changes.
Action Summary The GitHub Activity Scoring System (GASS) is a GitHub Action designed to automate the analysis of developer contributions and connect those metrics to token distribution in a fair, transparent, and decentralized manner. It addresses issues in traditional airdrops, such as lack of transparency and vulnerability to Sybil attacks, by leveraging GitHub activity data to allocate rewards based on quality, recency, and volume of contributions.