Skill audit report
dbt-agent-readiness Audit report.
Audit a dbt project for agent-readiness: what would an AI agent get wrong if you pointed it at this data today? Produces a prioritized report organized by failure modes (wrong numbers, wrong table, wrong column, can't join, query fails). Scales via two-pass architecture with parallel subagents. Each subagent reads its own phase instruction file, keeping context tight. Use when asked to "audit", "agent-readiness", "scan dbt project", "check data quality", "how ready is my data for AI agents", or "run dbt-agent-readiness."
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
11 GitHub stars
Stars/forks activity
FAIL32
11 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add GetCassis/dbt-agent-readiness --skill dbt-agent-readiness
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL24
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/GetCassis/dbt-agent-readiness/blob/main/SKILL.md
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add GetCassis/dbt-agent-readiness --skill dbt-agent-readiness
Repository
88
https://github.com/GetCassis/dbt-agent-readiness/blob/main/SKILL.md
License
86
MIT
Maintenance
88
2mo since push
AI review
55
The SKILL.md is very long and dense; an agent might struggle to parse all instructions in a single context window, potentially leading to missed details.
README/SKILL.md completeness
86
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
24
secrets or environment access, shell or command execution
Stars/forks activity
32
11 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
11 GitHub stars
Warnings
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The SKILL.md is very long and dense; an agent might struggle to parse all instructions in a single context window, potentially leading to missed details.
- The skill depends on external tools (dbt, sqlglot) and a proper dbt project structure; the SKILL.md does not explicitly state these prerequisites or how to handle missing dependencies.
- The two-pass architecture with parallel subagents adds complexity; if not orchestrated carefully, subagents might produce inconsistent outputs or fail to follow the strict JSON output format.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 11 GitHub stars
- Stars/forks activity: 11 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
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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