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Scores public GitHub profiles against a role brief you write once, using real repo and README signal. Scout — Dev Skill Matcher Scout reads public GitHub profiles and scores them against a role you're hiring for or a skill set you're looking for — written once as a plain-language brief. How it works Open any GitHub profile and a SCOUT tab appears on the right edge. Click it and Scout pulls the person's repos, aggregates the languages they actually work in, and reads the README from their top starred projects — then scores the whole profile against your brief. You get a fit score, a verdict, concrete matches (tied to real repos, not just claimed skills), and gaps. Works on list pages too: GitHub's user search results, an organization's People page, or anyone's followers/following list all get a "Scan this page" button that scores up to 25 visible profiles at once, ranked by fit. What you see for each profile Fit score and verdict against your role brief Matches and gaps, backed by actual repo/README evidence Language breakdown — what percentage of their repos are in each language Public profile info GitHub already exposes: company, location, website, social handles, public email if set, follower count, account age Setup You bring your own Anthropic API key (get one at console.anthropic.com) — nothing is sent through a server we run. Optionally add a GitHub personal access token to raise your API rate limit for batch scans. Write your role brief once in settings; rewrite it anytime you're screening for something different. Privacy All requests go directly from your browser to api.github.com and api.anthropic.com using your own credentials. Nothing is logged, stored, or sent anywhere else.
Jul 23, 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.