Github Trends®
6892 findingsmedian surprise 0.0109window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: gharchive
FINDING #1502 · UNIT ID 1204572994
WoJiSama/skill-based-architecture
A meta-skill that produces skills. Point it at any codebase and it distills the project's rules, workflows, and hard-won lessons into a dedicated skills/<name>/ directory — a project skill that becomes the single source of truth every AI agent (Cursor, Claude Code, Codex, Windsurf, Gemini) consults before every task.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0265
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.29
ACCEL
-0.32
RETENTION
28.0%
PEAK 2026-07-10 · FORK-RETENTION 0.0% · 16 STARS / WINDOW

Author Audience

AUDIENCE
46
FOLLOWERS
3
OWNER ★
432

Engagement Signals

FORKS
39
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 16 / 16 (DIVERSITY 1.00)

Why This Is A Finding

WoJiSama/skill-based-architecture собрал 16 звёзд за окно, тогда как у автора всего 3 подписчиков — эффективная аудитория ≈ 46. Это даёт surprise-индекс 0.0265 (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 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 78%
VELOCITY2.294.14-1.86ABOVE 26%
RETENTION28.0%40.6%-12.6 PPABOVE 32%
FORKS3989-50ABOVE 29%
SURPRISE0.030.01+0.02ABOVE 74%