Skill audit report
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.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
124 GitHub stars
Stars/forks activity
WARN57
124 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
8d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add AltimateAI/data-engineering-skills --skill optimizing-databricks-sql
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/databricks/optimizing-databricks-sql
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add AltimateAI/data-engineering-skills --skill optimizing-databricks-sql
Repository
88
https://github.com/AltimateAI/data-engineering-skills/tree/main/skills/databricks/optimizing-databricks-sql
License
86
MIT
Maintenance
100
8d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
57
124 stars, 11 forks; issue activity unavailable in current metadata
Adoption
68
124 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
Method
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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