← AI Sns
How AI Sns scored a D.
Public-signal score, discounted for bought-star and bot-stargazer patterns — not a user rating. How scores are calculated.
01 / Breakdown
Derived from GitHub, not voted.
D
25/100
GitHub credibility score
- ✓ Contributors & bus-factor — 2 recent contributors — concentrated
- ✓ Commit recency — last commit 28d ago
- ✓ Commit cadence — 98 commits in 90 days
- ✓ Issue close ratio — 50% of issues closed
- ↓ Release cadence — 0 releases in 12 months
- ✓ Stars (log-damped) — 328 stars (log-damped)
- ↓ Star authenticity — star velocity 142.1× baseline — burst discounted
- ↓ Engagement-to-star ratio — low engagement (0.05 per star) — possible inflated stars
| Quality signal | Measured | Weight | Points |
|---|---|---|---|
| Contributors & bus-factor | 2 recent contributors — concentrated | 20% | +0 |
| Commit recency | last commit 28d ago | 20% | +18 |
| Commit cadence | 98 commits in 90 days | 15% | +14 |
| Issue close ratio | 50% of issues closed | 15% | +8 |
| Release cadence | 0 releases in 12 months | 15% | +0 |
| Stars (log-damped) | 328 stars (log-damped) | 15% | +9 |
| Quality subtotal (Q) | 100% | 49 | |
Authenticity multiplier (A)
× 0.50- ↓ Star authenticity — star velocity 142.1× baseline — burst discounted
- ↓ Engagement-to-star ratio — low engagement (0.05 per star) — possible inflated stars
Quality 49 × authenticity 0.50 = 25/100
Quality signals add up to the subtotal; the authenticity multiplier then discounts bought-star / bot-stargazer patterns. How scores are calculated.