Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demonpx agentmods add skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-commandsWrote 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/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-commands)<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-commands"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-commands/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/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-commands"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-commands.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00053 | $0.03365 |
| Opus 5 | $0.00026 | $0.01682 |
| Sonnet 5 | $0.00011 | $0.00673 |
| Haiku 4.5 | $0.00005 | $0.00336 |
Grade A, and why
dbt-commands 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 12d 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 — 657 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dbt Commands & Operations
Purpose
Transform AI agents into experts on dbt command-line operations, model selection patterns, Jinja templating, and troubleshooting techniques for efficient dbt development and debugging.
When to Use This Skill
Activate this skill when users ask about:
- Running dbt commands (build, run, test, compile)
- Model selection syntax and patterns
- Debugging compilation or execution errors
- Using Jinja macros and templates
- Troubleshooting dbt issues
- Command-line flags and options
- Generating and serving documentation
- Understanding dbt command output
Official dbt Documentation: dbt Command Reference
Essential Commands
Setup & Installation
# Install dbt packages
dbt deps
# Test connection and configuration
dbt debug
# Clean compiled files and logs
dbt clean
Building Models
# Build everything (run + test) - RECOMMENDED
dbt build
# Build with full refresh of incremental models
dbt build --full-refresh
# Run all models (no tests)
dbt run
# Run and test separately
dbt run
dbt test
Best Practice: Use dbt build instead of separate run + test commands.
Model Selection Syntax
Basic Selection
# Specific model
dbt run --select model_name
dbt run --select dim_customers
# Multiple models
dbt run --select dim_customers fct_orders dim_products
Dependency Selection
# Model + upstream dependencies (parents)
dbt run --select +model_name
dbt run --select +dim_customers
# Model + downstream dependencies (children)
dbt run --select model_name+
dbt run --select dim_customers+
# Model + all dependencies (both directions)
dbt run --select +model_name+
dbt run --select +dim_customers+
Visualization:
+model_name = model + all parents
model_name+ = model + all children
+model_name+ = model + all parents + all children
Selection by Tag
# Single tag
dbt run --select tag:bronze
dbt run --select tag:gold
# Multiple tags (AND logic - must have both)
dbt run --select tag:gold tag:critical
# Multiple tags (OR logic - has either)
dbt run --select tag:gold,tag:silver
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.
- 12d ago First seen · 657 lines · 53 tokens per session scan A 8cbaa450342d
dbt-commands is a skill published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed 2d ago), licensed Apache-2.0. It adds 53 tokens to every session and 3,365 once invoked, about $0.0003 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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