Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sfc-gh-dflippo/snowflake-dbt-demo --skill dbt-projects-on-snowflakegit 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/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-projects-on-snowflake)<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-projects-on-snowflake"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-projects-on-snowflake/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-projects-on-snowflake"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-projects-on-snowflake.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 | $0.00075 | $0.02423 |
| Opus 5 | $0.00037 | $0.01211 |
| Sonnet 5 | $0.00015 | $0.00485 |
| Haiku 4.5 | $0.00007 | $0.00242 |
Grade A, and why
dbt-projects-on-snowflake 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dbt Projects on Snowflake
Deploy, manage, and monitor dbt projects natively within Snowflake using web-based workspaces, schema-level DBT PROJECT objects, and comprehensive event table telemetry.
Quick Start
Three Ways to Use dbt Projects:
- Snowsight Workspaces - Web-based IDE for interactive development
- DBT PROJECT Objects - Deployed projects for production execution
- Snowflake CLI - Command-line deployment and execution
Setup
Complete setup instructions including prerequisites, external access integration, Git API
integration, and event table configuration are in references/SETUP.md.
Deployment Methods
Method 1: Snowflake CLI (Recommended)
# Deploy project
snow dbt deploy my_project --source .
# Execute commands
snow dbt execute my_project run
snow dbt execute my_project build
Method 2: Snowsight
- Navigate to Projects → My Workspace
- Create new project from Git repository
- Configure profiles.yml
- Deploy as DBT PROJECT object
Method 3: SQL Execution
Execute directly in SQL:
EXECUTE DBT PROJECT <db>.<schema>.<project> args='build';
EXECUTE DBT PROJECT <db>.<schema>.<project> args='build --full-refresh';
EXECUTE DBT PROJECT <db>.<schema>.<project> args='build --select tag:gold';
Check and pin supported dbt versions
Run this to see the live list of versions currently available in the Snowflake managed runtime:
-- List the dbt versions supported by dbt Projects on Snowflake (Fusion + Core)
SELECT SYSTEM$SUPPORTED_DBT_VERSIONS();
SYSTEM$SUPPORTED_DBT_VERSIONS() returns each supported version along with its engine type. Use
this instead of relying on a hardcoded number — preview builds advance frequently.
The DBT_VERSION attribute implicitly selects the engine:
- < 2.0 (e.g.
1.11.11) → dbt Core (Python engine) - ≥ 2.0 (e.g.
2.0.0-preview.186) → dbt Fusion (Rust engine)
-- Set an account-wide default (a DBT_VERSION >= 2.0 selects the dbt Fusion engine)
ALTER ACCOUNT SET DEFAULT_DBT_VERSION = '2.0.0-preview.186';
-- Pin a project to a specific version at creation
CREATE OR REPLACE DBT PROJECT my_dbt_project
FROM '@my_stage/dbt_files'
DBT_VERSION = '2.0.0-preview.186';
-- Change an existing project's version
ALTER DBT PROJECT my_dbt_project SET DBT_VERSION = '2.0.0-preview.186';
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- scripts/alert_failures.sql 526 B
- scripts/audit_trail.sql 838 B
- scripts/execution_errors.sql 902 B
- scripts/execution_summary.sql 1.1 KB
- scripts/performance_metrics.sql 1.0 KB
- scripts/performance_regression.sql 591 B
- scripts/recent_executions.sql 1.2 KB
- scripts/resource_usage.sql 728 B
- scripts/trace_spans.sql 1.1 KB
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 · 271 lines · 75 tokens per session scan A ce483a38d673
dbt-projects-on-snowflake 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 75 tokens to every session and 2,423 once invoked, about $0.0004 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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