Laporan audit skill
segmentation-analysis Laporan audit.
Customer/user segmentation with actionable insights. Use when identifying distinct customer groups, analyzing segment-specific behavior, profiling high-value segments, or testing segmentation hypotheses.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopsi GitHub
Info62
446 star GitHub
Aktivitas star/fork
Info62
446 star dan 80 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus100
20 hari sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Lulus90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Ketersediaan pemasangan
Lulus92
npx skills add nimrodfisher/data-analytics-skills --skill segmentation-analysis
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus100
Tidak ada cakupan izin berisiko tinggi dalam metadata publik
Bukti repositori
Lulus86
https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/segmentation-analysis
Status peninjauan
Info66
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add nimrodfisher/data-analytics-skills --skill segmentation-analysis
Repositori
88
https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/segmentation-analysis
Lisensi
86
MIT
Pemeliharaan
100
20 hari sejak push
Tinjauan AI
55
The script `segmentation_runner.py` does not perform k-means clustering or generate elbow/silhouette plots as described in SKILL.md; it only profiles pre-defined segments using index scores.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
100
Tidak ada cakupan izin berisiko tinggi dalam metadata publik
Aktivitas star/fork
62
446 star dan 80 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
446 star GitHub
Peringatan
- The script `segmentation_runner.py` does not perform k-means clustering or generate elbow/silhouette plots as described in SKILL.md; it only profiles pre-defined segments using index scores.
- The script's 'notable' flag uses a simplistic z-score calculation that may not be statistically rigorous.
- Quality score needs review
Metode
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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