FINDING #2115 · UNIT ID 1154200345
yogsoth-ai/de-anthropocentric-research-engine
900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
17% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
2.20
ACCEL
-0.23
RETENTION
1.9%
PEAK 2026-06-20 · FORK-RETENTION 0.0% · 66 STARS / WINDOW
Author Audience
AUDIENCE
107
FOLLOWERS
12
OWNER ★
413
Engagement Signals
FORKS
31
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 66 / 66 (DIVERSITY 1.00)
Why This Is A Finding
yogsoth-ai/de-anthropocentric-research-engine собрал 66 звёзд за окно, тогда как у автора всего 12 подписчиков — эффективная аудитория ≈ 107. Это даёт surprise-индекс 0.015 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 70% OF 6938 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 6938 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 70%
VELOCITY2.204.13-1.93ABOVE 23%
RETENTION1.9%28.1%-26.2 PPABOVE 5%
FORKS3189-58ABOVE 24%
SURPRISE0.020.01+0.00ABOVE 57%