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Sharp as a falcon - see Contributor Scores, PR stats, and badges on GitHub pages GitBaz adds contributor context directly to GitHub. See who you're working with at a glance - no tab-switching needed. "Baz" means "falcon" in Kurdish - the animal with the sharpest eyesight. FEATURES: - Contributor Scores - 100-point scoring across PRs, commits, merge rate, account age, and followers with tier badges (Newcomer -> Maintainer). - Smart Badges - First-Timer, Issue Reporter, Sharp Eye, Prolific, Veteran, Popular, New Account, and more. - PR & Issue Context - See contributor history and reputation directly in PR and issue sidebars. - Discussion Panels - Context for GitHub Discussions and org-level discussions. - Bus Factor Analysis - Identify single-contributor risk at the repository level. - Knowledge Silos - Detect file ownership concentration via git blame on PRs. - Activity Heatmaps - Visualize contributor activity patterns and streaks. - Bot Detection - Automatically identify bot accounts. - AI-Generated PR Detection - Flag PRs that appear to be AI-generated. - Repository Health - OpenSSF Scorecard integration for security posture. - Vouch System - Community-driven vouching via VOUCHED.td files. PRIVACY: All data stays in your browser. Your GitHub PAT is stored locally and never sent anywhere except the GitHub API. No analytics, no tracking, no external servers. Fully open source. SETUP: 1. Install the extension 2. Click the GitBaz icon -> Options 3. Enter your GitHub Personal Access Token 4. Navigate to any GitHub issue, PR, or discussion Source code: https://github.com/happyhackingspace/gitbaz
Mar 10, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.