← Unicode spoofing detection
How Unicode spoofing detection scored a D.
A way.space signal summary built from public evidence. It is not a user rating, and not a safety certification. How scores are calculated.
01 / Breakdown
Derived from GitHub, not voted.
D
40/100
GitHub credibility score
- ✓ Contributors & bus-factor: 3 recent contributors — concentrated
- ✓ Commit recency: last commit 56d ago
- ✓ Commit cadence: 23 commits in 90 days
- ↓ Issue close ratio: 0% of issues closed
- ✓ Release cadence: 4 releases in 12 months
- ✓ Stars (log-damped): 3 stars (log-damped)
- – Star authenticity: star-velocity check skipped — low star count
- – Engagement-to-star ratio: engagement check skipped — low star count
| Quality signal | Measured | Weight | Points |
|---|---|---|---|
| Contributors & bus-factor | 3 recent contributors — concentrated | 20% | +2 |
| Commit recency | last commit 56d ago | 20% | +17 |
| Commit cadence | 23 commits in 90 days | 15% | +10 |
| Issue close ratio | 0% of issues closed | 15% | +0 |
| Release cadence | 4 releases in 12 months | 15% | +9 |
| Stars (log-damped) | 3 stars (log-damped) | 15% | +2 |
| Quality subtotal (Q) | 100% | 40 | |
Authenticity multiplier (A)
× 1.00- – Star authenticity: star-velocity check skipped — low star count
- – Engagement-to-star ratio: engagement check skipped — low star count
Quality 40 × authenticity 1.00 = 40/100
Quality signals add up to the subtotal, then the authenticity multiplier discounts bought-star and bot-stargazer patterns. How scores are calculated.