Skill audit report

Dbt Databricks audit report.

A dbt adapter for Databricks.

REVIEWED · REVIEWSafe to tryGenerated Jul 3, 2026Heuristic metadata audit
85
Audit
78
Trust
83
Quality
85
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

78
Strong shortlist

Stars, maintenance, license, docs, install safety, permission surface, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

361 GitHub stars

Stars/forks activity

INFO

62

361 stars, 205 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

13d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

82

database surface

Install availability

PASS

92

npx skills add databricks/dbt-databricks

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

74

filesystem or document access, database access

Repository evidence

PASS

86

https://github.com/databricks/dbt-databricks

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 passed · 4 review

Install path

92

PASS

npx skills add databricks/dbt-databricks

Repository

88

PASS

https://github.com/databricks/dbt-databricks

License

86

PASS

Apache-2.0

Maintenance

100

PASS

13d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

82

PASS

database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

74

CHECK

filesystem or document access, database access

Stars/forks activity

62

CHECK

361 stars, 205 forks; issue activity unavailable in current metadata

Adoption

68

INFO

361 GitHub stars

Warnings

  • Quality score needs review
  • Documentation summary is thin

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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