← Hermes Agent Self-Evolution
How Hermes Agent Self-Evolution 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
38/100
GitHub credibility score
- ✓ Contributors & bus-factor — 3 recent contributors — concentrated
- ✓ Commit recency — last commit 33d ago
- ✓ Commit cadence — 1 commits in 90 days
- ✓ Issue close ratio — 21% of issues closed
- ↓ Release cadence — 0 releases in 12 months
- ✓ Stars (log-damped) — 4,735 stars (log-damped)
- ✓ Star authenticity — organic star growth — no velocity anomaly
- ✓ Engagement-to-star ratio — healthy engagement (0.16 per star)
| Quality signal | Measured | Weight | Points |
|---|---|---|---|
| Contributors & bus-factor | 3 recent contributors — concentrated | 20% | +2 |
| Commit recency | last commit 33d ago | 20% | +18 |
| Commit cadence | 1 commits in 90 days | 15% | +2 |
| Issue close ratio | 21% of issues closed | 15% | +3 |
| Release cadence | 0 releases in 12 months | 15% | +0 |
| Stars (log-damped) | 4,735 stars (log-damped) | 15% | +13 |
| Quality subtotal (Q) | 100% | 38 | |
Authenticity multiplier (A)
× 1.00- ✓ Star authenticity — organic star growth — no velocity anomaly
- ✓ Engagement-to-star ratio — healthy engagement (0.16 per star)
Quality 38 × authenticity 1.00 = 38/100
Quality signals add up to the subtotal; the authenticity multiplier then discounts bought-star / bot-stargazer patterns. How scores are calculated.