Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #4986 · 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

SURPRISE0.014
ENGAGEMENT0.20
FRESHNESS1.46
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
47% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · S10

Growth Telemetry

VELOCITY /D
4.80
ACCEL
-0.01
RETENTION
54.2%
PEAK 2026-07-14 · FORK-RETENTION 0.0% · 432 STARS / WINDOW

Author Audience

AUDIENCE
303
FOLLOWERS
41
OWNER ★
1,107

Engagement Signals

FORKS
96
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 432 / 432 (DIVERSITY 1.00)

Why This Is A Finding

199-biotechnologies/claude-deep-research-skill собрал 432 звёзд за окно, тогда как у автора всего 41 подписчиков — эффективная аудитория ≈ 303. Это даёт surprise-индекс 0.014 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 22%
VELOCITY4.803.99+0.81ABOVE 57%
RETENTION54.2%17.1%+37.0 PPABOVE 97%
FORKS9690+7ABOVE 52%
SURPRISE0.010.01+0.00ABOVE 54%