Laporan audit skill
Databricks Bootcamp 2026 Laporan audit.
End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. Designed for learning, portfolio building, and job interviews.
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
344 star GitHub
Aktivitas star/fork
Info62
344 star dan 169 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Info62
7 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus90
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Lulus82
database surface
Ketersediaan pemasangan
Lulus92
npx skills add DataWithBaraa/databricks_bootcamp_2026
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Info74
filesystem or document access, database access
Bukti repositori
Lulus86
https://github.com/DataWithBaraa/databricks_bootcamp_2026
Status peninjauan
Lulus88
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add DataWithBaraa/databricks_bootcamp_2026
Repositori
88
https://github.com/DataWithBaraa/databricks_bootcamp_2026
Lisensi
86
MIT
Pemeliharaan
62
7 bulan sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
90
Usable description available
Risiko dependensi
82
database surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
74
filesystem or document access, database access
Aktivitas star/fork
62
344 star dan 169 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
344 star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
- 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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