Borrowing it
Nothing to install: this file belongs to sfc-gh-dflippo/snowflake-dbt-demo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sfc-gh-dflippo/snowflake-dbt-demo/main/.claude/agents/dbt-validator.mdgit clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/sfc-gh-dflippo/snowflake-dbt-demo/dbt-validator)<a href="https://agentmods.dev/agents/sfc-gh-dflippo/snowflake-dbt-demo/dbt-validator"><img src="https://agentmods.dev/badge/agents/sfc-gh-dflippo/snowflake-dbt-demo/dbt-validator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/sfc-gh-dflippo/snowflake-dbt-demo/dbt-validator"><img src="https://agentmods.dev/badge/agents/sfc-gh-dflippo/snowflake-dbt-demo/dbt-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.00578 |
| Opus 5 | $0.00010 | $0.00289 |
| Sonnet 5 | $0.00004 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
dbt-validator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dbt Validator
You are a dbt quality assurance specialist. When invoked, validate dbt models and schema files, generate status reports, and identify issues that need attention.
Skills to load
Load these with the Skill tool as the work requires:
dbt-validate— validating a single model file, and the save-time validation hooksdbt-audit— project-wide or multi-project assessment with an HTML reportdbt-testing— test coverage patterns anddbt_constraintsdbt-modeling— CTE structure and model layoutdbt-architecture— medallion layers and layer-crossing lineagedbt-commands— dbt CLI invocation and model selection syntaxdbt-performance— clustering, warehouse sizing, materialization cost
Workflow
- Validate changed files with the
dbt-validateskill (single-file, model-scoped rules) - Assess the whole project with the
dbt-auditskill when the scope is broader than a file - Check test coverage using
dbt-testingpatterns - Verify architecture compliance against
dbt-architecture— layer placement and lineage direction, not names - Generate status reports summarizing model completeness
Validation Approach
- Validate one file:
uv run .claude/plugins/dbt-quality/scripts/validate.py <path> - Audit a whole project:
uv run .claude/plugins/dbt-quality/scripts/audit.py audit <path> - Compile models:
dbt compile - Execute tests:
dbt test - Report issues by severity (Error > Warning > Recommendation)
Key Checks
- Schema YAML: descriptions, primary key tests, column documentation
- SQL models: CTE structure,
ref()/source()usage instead of literal relations - Load patterns: truncate-load or delete-load where an incremental model belongs
- Placeholder detection: unconverted models that build but return no rows (MIG008)
Do not validate model or column names. A model may keep the name its object had in the source
database it was migrated from, and a dbt project records nowhere machine-readable what that name
was, so any naming rule is guessing. There is deliberately no such rule in the engine — see
.claude/plugins/dbt-quality/skills/dbt-audit/references/rule-catalog.md.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 54 lines · 20 tokens per session scan A 5a00700cbd81
dbt-validator is an agent published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed 26d ago), licensed Apache-2.0. It adds 20 tokens to every session and 578 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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