fork-contributor-leaderboard

Rank GitHub fork contributors by pull request activity automatically by combining upstream PR metadata, review comments, fork commit output, and newly added skill files into a unified weekly leaderboard without manual curation.

Tracking community contributions across a GitHub fork ecosystem is best done by fusing upstream PR signals, review comments, fork stars, and fork commit output to quantify contributor momentum and identify first-time participants.

Generate a weekly GitHub contributor leaderboard for active forks by applying paginated GitHub API access to pulls, review comments, and compare endpoints, filtering out bots and core maintainers to isolate community movement.

The fork contributor ranking process handles missing or incompatible GitHub forks robustly by applying consistent filtering of bots and core maintainers while processing paginated GitHub API responses for forks, pulls, and review comments.

Compare weekly GitHub contributor rank changes to identify outreach targets by generating a movement narrative that highlights rank changes and pinpoints fork owners who have not yet contributed upstream pull requests.

GitHub fork analytics leaderboards include automated bots when consistent filtering of bots and core maintainers is not applied during the paginated API retrieval of upstream pull requests and review comments.