Laporan audit skill

optimizing-databricks-sql Laporan audit.

Analyze DBSQL queries, including SQL embedded in notebooks (`spark.sql(...)`, `%sql` cells), for anti-patterns, lint issues, and performance problems, using Databricks-specific dialect and platform knowledge (Delta, Photon, Unity Catalog) layered on top of altimate-code's generic SQL engine. Use when a user asks to optimize, review, or lint DBSQL queries on Databricks, whether standalone or embedded in a notebook.

Eksperimental · TinjauPerlu ditinjauDihasilkan 12 Okt 2026Audit metadata heuristik
78
Audit
78
Kepercayaan
62
Kualitas
80
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

78
Shortlist kuat

Trust Score OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adopsi GitHub

Info

62

124 star GitHub

Aktivitas star/fork

Peringatan

57

124 star dan 11 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

100

16 hari sejak push

Kejelasan lisensi

Lulus

86

MIT

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Lulus

82

database surface

Ketersediaan pemasangan

Lulus

92

npx skills add AltimateAI/data-engineering-skills --skill optimizing-databricks-sql

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Info

74

filesystem or document access, database access

Bukti repositori

Lulus

86

https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/databricks/optimizing-databricks-sql

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

7 Lulus · 10 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add AltimateAI/data-engineering-skills --skill optimizing-databricks-sql

Repositori

88

Lulus

https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/databricks/optimizing-databricks-sql

Lisensi

86

Lulus

MIT

Pemeliharaan

100

Lulus

16 hari sejak push

Tinjauan AI

55

Periksa

Review approval is missing

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

82

Lulus

database surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

74

Periksa

filesystem or document access, database access

Aktivitas star/fork

57

Perbaiki

124 star dan 11 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

124 star GitHub

Financial decision safety

58

Periksa

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
  • Persetujuan tinjauan AI belum ada
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Stars/forks activity: 124 stars, 11 forks; issue activity unavailable in current metadata
  • Review status: AI review approval is missing

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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