Github Trends®
9676 findingsmedian surprise 0.00725window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #8425 · UNIT ID 1089628716
199-biotechnologies/claude-deep-research-skill
Enterprise-grade deep research skill for Claude Code with 8-phase pipeline, source credibility scoring, and automated validation. Outperforms OpenAI, Gemini, and Claude Desktop in quality and verification.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0116
ENGAGEMENT0.37
FRESHNESS1.50
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
14% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
5.37
ACCEL
-0.53
RETENTION
10.2%
PEAK 2026-09-22 · FORK-RETENTION 76.5% · 161 STARS / WINDOW

Author Audience

AUDIENCE
422
FOLLOWERS
54
OWNER ★
1,568

Engagement Signals

FORKS
130
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 161 / 161 (DIVERSITY 1.00)

Why This Is A Finding

199-biotechnologies/claude-deep-research-skill собрал 161 звёзд за окно, тогда как у автора всего 54 подписчиков — эффективная аудитория ≈ 422. Это даёт surprise-индекс 0.0116 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 76.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9676 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 13%
VELOCITY5.373.80+1.57ABOVE 62%
RETENTION10.2%20.0%-9.8 PPABOVE 27%
FORKS130142-12ABOVE 48%
SURPRISE0.010.01+0.00ABOVE 60%