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

FINDING #5463 · 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

SURPRISE0.0415

ENGAGEMENT0.20

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

11% 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

14.14

ACCEL

+4.39

RETENTION

54.2%

PEAK 2026-07-14 · FORK-RETENTION 0.0% · 99 STARS / WINDOW

Author Audience

AUDIENCE

301

FOLLOWERS

OWNER ★

1,107

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 99 / 99 (DIVERSITY 1.00)

Why This Is A Finding

199-biotechnologies/claude-deep-research-skill собрал 99 звёзд за окно, тогда как у автора всего 41 подписчиков — эффективная аудитория ≈ 301. Это даёт surprise-индекс 0.0415 (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 21% OF 6892 FINDINGS

#01MDX-Tom/gpt-5.6-instruct[ PYTHON ]0.86 #02Git-creat7/grokRegister-cpa[ PYTHON ]0.67 #04William-Lu-stack/LuxyAI[ PYTHON ]0.52 #05AlephAITech/WorkBuddyGuide[ PYTHON ]0.51 #06Cjbuilds/Codex-Orchestration[ PYTHON ]0.51

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 21%

VELOCITY14.144.14+10.00ABOVE 81%

RETENTION54.2%40.6%+13.5 PPABOVE 69%

FORKS9689+7ABOVE 52%

SURPRISE0.040.01+0.03ABOVE 83%