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Due diligence for every GitHub repo. Know before you clone. RepoSignal answers one question before you add a dependency: should you trust this repository? Open any GitHub repo and get a 0–100 score in your side panel, computed from six weighted signals: • Maintenance (25%) — recency of commits, releases, and pushes • Security (20%) — published advisories, security policy, archived status • Contributor risk (18%) — bus factor: how concentrated the commit history is • Community (15%) — adoption breadth via stars and forks • Release hygiene (12%) — release cadence and semver tagging • Docs (10%) — license, description, and documentation presence A full report page shows every signal with its weight, the evidence behind it, and the top risks — plus the complete methodology. Every score is reproducible from the same public inputs. Compare up to three repositories side by side before you pick a dependency. RepoSignal also remembers each repo's past scores and shows the drift since you last looked — a quiet warning when a project starts slipping. The scoring model is yours to tune: adjust the six weights, set hard deal-breakers (archived repo, no license, published advisories), and export your profile to share with your team. Type "rs" then a space in the address bar to score any owner/repo without leaving the keyboard. No AI. No black box. No servers. All data comes straight from the public GitHub REST API and is cached locally for 30 minutes. Nothing you browse ever leaves your machine. Unauthenticated GitHub API requests are limited to 60/hour by GitHub. Add your own token in Settings to raise the limit to 5,000/hour — it never leaves your browser.
Jun 8, 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.