Github Trends®
3194 findingsmedian surprise 0.0165window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: gharchive
FINDING #2497 · 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

SURPRISE0.0763
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% 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
26.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-07-15 · FORK-RETENTION 0.0% · 26 STARS / WINDOW

Author Audience

AUDIENCE
301
FOLLOWERS
41
OWNER ★
1,107

Engagement Signals

FORKS
96
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 26 / 26 (DIVERSITY 1.00)

Why This Is A Finding

199-biotechnologies/claude-deep-research-skill собрал 26 звёзд за окно, тогда как у автора всего 41 подписчиков — эффективная аудитория ≈ 301. Это даёт surprise-индекс 0.0763 (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 3194 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 22%
VELOCITY26.0010.00+16.00ABOVE 79%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS96176-80ABOVE 35%
SURPRISE0.080.02+0.06ABOVE 86%