← Hermes Labyrinth
How Hermes Labyrinth 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
41/100
GitHub credibility score
- ↓ Contributors & bus-factor — 1 recent contributor — concentrated
- ✓ Commit recency — last commit 77d ago
- ✓ Commit cadence — 17 commits in 90 days
- ✓ Issue close ratio — 80% of issues closed
- ✓ Release cadence — 2 releases in 12 months
- ✓ Stars (log-damped) — 298 stars (log-damped)
- ↓ Star authenticity — star velocity 19.4× baseline — burst discounted
- ↓ Engagement-to-star ratio — low engagement (0.11 per star) — possible inflated stars
| Quality signal | Measured | Weight | Points |
|---|---|---|---|
| Contributors & bus-factor | 1 recent contributor — concentrated | 20% | +0 |
| Commit recency | last commit 77d ago | 20% | +16 |
| Commit cadence | 17 commits in 90 days | 15% | +9 |
| Issue close ratio | 80% of issues closed | 15% | +12 |
| Release cadence | 2 releases in 12 months | 15% | +6 |
| Stars (log-damped) | 298 stars (log-damped) | 15% | +9 |
| Quality subtotal (Q) | 100% | 52 | |
Authenticity multiplier (A)
× 0.79- ↓ Star authenticity — star velocity 19.4× baseline — burst discounted
- ↓ Engagement-to-star ratio — low engagement (0.11 per star) — possible inflated stars
Quality 52 × authenticity 0.79 = 41/100
Quality signals add up to the subtotal; the authenticity multiplier then discounts bought-star / bot-stargazer patterns. How scores are calculated.