This is an early release preview. You may encounter bugs.
← OpenClaw Managed Agents

How OpenClaw Managed Agents 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 — 1 recent contributor — concentrated
  • Commit recency — last commit 83d ago
  • Commit cadence — 44 commits in 90 days
  • Issue close ratio — 0% of issues closed
  • Release cadence — 2 releases in 12 months
  • Stars (log-damped) — 436 stars (log-damped)
  • Star authenticity — star velocity 34.1× baseline — burst discounted
  • Engagement-to-star ratio — low engagement (0.10 per star) — possible inflated stars
Quality signalMeasuredWeightPoints
Contributors & bus-factor1 recent contributor — concentrated20%+0
Commit recencylast commit 83d ago20%+15
Commit cadence44 commits in 90 days15%+12
Issue close ratio0% of issues closed15%+0
Release cadence2 releases in 12 months15%+6
Stars (log-damped)436 stars (log-damped)15%+9
Quality subtotal (Q)100%42

Authenticity multiplier (A)

× 0.58
  • Star authenticity — star velocity 34.1× baseline — burst discounted
  • Engagement-to-star ratio — low engagement (0.10 per star) — possible inflated stars

Quality 42 × authenticity 0.58 = 25/100

Quality signals add up to the subtotal; the authenticity multiplier then discounts bought-star / bot-stargazer patterns. How scores are calculated.