Skill audit report
Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
701 GitHub stars
Stars/forks activity
INFO71
701 stars, 61 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
10d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
command execution surface, database surface
Install availability
PASS92
npx skills add dbt-labs/dbt-agent-skills --skill building-dbt-semantic-layer
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO64
shell or command execution, database access
Repository evidence
PASS86
https://github.com/dbt-labs/dbt-agent-skills/tree/main/skills/dbt/skills/building-dbt-semantic-layer
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add dbt-labs/dbt-agent-skills --skill building-dbt-semantic-layer
Repository
88
https://github.com/dbt-labs/dbt-agent-skills/tree/main/skills/dbt/skills/building-dbt-semantic-layer
License
86
Apache-2.0
Maintenance
100
10d since push
AI review
55
No critical security issues found. The skill only provides documentation and YAML authoring guidance, with no dangerous commands, secret access, or unsafe downloads.
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
command execution surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
64
shell or command execution, database access
Stars/forks activity
71
701 stars, 61 forks; issue activity unavailable in current metadata
Adoption
88
701 GitHub stars
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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