Skill audit report
Generates a Mermaid flowchart diagram of dbt model lineage using MCP tools, manifest.json, or direct code parsing as fallbacks. Use when visualizing dbt model lineage and dependencies as a Mermaid diagram in markdown format.
OpenAgentSkill Trust Score
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
5d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
WARN56
command execution surface, network or browser surface
Install availability
PASS92
npx skills add dbt-labs/dbt-agent-skills --skill creating-mermaid-dbt-dag
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/dbt-labs/dbt-agent-skills/tree/main/skills/dbt-extras/skills/creating-mermaid-dbt-dag
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 creating-mermaid-dbt-dag
Repository
88
https://github.com/dbt-labs/dbt-agent-skills/tree/main/skills/dbt-extras/skills/creating-mermaid-dbt-dag
License
86
Apache-2.0
Maintenance
100
5d since push
AI review
55
No critical issues found. The skill properly handles untrusted content and restricts tool usage.
README/SKILL.md completeness
84
Usable description available
Dependency risk
56
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
36
shell or command execution, filesystem or document 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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