199-biotechnologies/claude-deep-research-skill — GitHub trend

FINDING #3888 · 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)

8% 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

+11.00

RETENTION

54.2%

PEAK 2026-07-14 · FORK-RETENTION 0.0% · 78 STARS / WINDOW

Author Audience

AUDIENCE

301

FOLLOWERS

OWNER ★

1,107

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 78 / 78 (DIVERSITY 1.00)

Why This Is A Finding

199-biotechnologies/claude-deep-research-skill собрал 78 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.

Related Findings

RANKS ABOVE 23% OF 5024 FINDINGS

#02Git-creat7/grokRegister-cpa[ PYTHON ]0.72 #09vinhhien112/Three.js-Object-Sculptor-Codex-Plugin[ PYTHON ]0.51 #10domanski-ai/headroom[ PYTHON ]0.50 #12William-Lu-stack/LuxyAI[ PYTHON ]0.46 #15fqscfqj/Y2A-Auto[ PYTHON ]0.37

METRICS IN CONTEXT

MEDIAN ACROSS ALL 5024 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 23%

VELOCITY26.006.67+19.33ABOVE 84%

RETENTION54.2%46.5%+7.7 PPABOVE 59%

FORKS96116-20ABOVE 45%

SURPRISE0.080.01+0.06ABOVE 88%