Technical Hiring Intelligence

Verify what developers
actually built

skill·proofer cross-references CVs against real GitHub evidence and generates interview questions that are impossible to fake.

Run a Report →Try it now

Free during beta · 5 reports per user · Usually ready in 60–90 seconds · PDF included

skill·proofer — evidence output

Evidence results — alex-morgan

Python — 4 years

✓ found

React frontend

~ partial

Led team of 6

✗ not found

Technical fingerprint

›primary_langPython
›activityActive
›last_commit4 days ago
›total_commits1,847
›work_styleSolo

The pipeline

Five steps. Two use AI.

The rest are deterministic — same input always produces same output.

01CV ParserAI
→
02GitHub Fetch
→
03Evidence Match
→
04Fingerprint
→
05Question GenAI

01 — Evidence

Every claim mapped to code

We cross-reference CV technical assertions against commit history, language byte counts, and README content. No guessing.

02 — Fingerprint

What they actually work in

Primary language, activity level, solo vs. collaborative work patterns, and commit depth — computed deterministically from GitHub API.

03 — Questions

Impossible to fake

Interview questions grounded in the candidate's actual repos. Not generic. Specific to their architecture decisions and technology choices.

Make every technical interview count

One report. Every claim checked. Questions no one can bluff through.

Run a Report — Free during beta →

Ready in 60–90 seconds · PDF included · No payment required