FINDING #5317 · UNIT ID 1386191888
scaleapi/agentenv-framework
Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
27% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
8.29
ACCEL
+4.64
RETENTION
31.8%
PEAK 2026-10-08 · FORK-RETENTION 37.5% · 58 STARS / WINDOW
Author Audience
AUDIENCE
2,314
FOLLOWERS
746
OWNER ★
3,389
Engagement Signals
FORKS
14
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 58 / 58 (DIVERSITY 1.00)
Why This Is A Finding
scaleapi/agentenv-framework собрал 58 звёзд за окно, тогда как у автора всего 746 подписчиков — эффективная аудитория ≈ 2,314. Это даёт surprise-индекс 0.00352 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 37.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.
Related Findings
RANKS ABOVE 46% OF 9779 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9779 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 46%
VELOCITY8.293.57+4.71ABOVE 74%
RETENTION31.8%40.0%-8.2 PPABOVE 40%
FORKS14108-94ABOVE 13%
SURPRISE0.000.01-0.00ABOVE 31%