Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #5387 · 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

SURPRISE0.0147
ENGAGEMENT0.20
FRESHNESS1.41
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
16% 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
5.03
ACCEL
+0.44
RETENTION
54.2%
PEAK 2026-07-14 · FORK-RETENTION 0.0% · 151 STARS / WINDOW

Author Audience

AUDIENCE
303
FOLLOWERS
41
OWNER ★
1,107

Engagement Signals

FORKS
96
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 151 / 151 (DIVERSITY 1.00)

Why This Is A Finding

199-biotechnologies/claude-deep-research-skill собрал 151 звёзд за окно, тогда как у автора всего 41 подписчиков — эффективная аудитория ≈ 303. Это даёт surprise-индекс 0.0147 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 14%
VELOCITY5.034.23+0.80ABOVE 56%
RETENTION54.2%29.4%+24.8 PPABOVE 90%
FORKS9692+4ABOVE 51%
SURPRISE0.010.01+0.00ABOVE 56%