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-coregit 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-core)<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-core"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-core/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-core"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/dbt-core.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 | $0.00050 | $0.02396 |
| Opus 5 | $0.00025 | $0.01198 |
| Sonnet 5 | $0.00010 | $0.00479 |
| Haiku 4.5 | $0.00005 | $0.00240 |
Grade A, and why
dbt-core 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 11d 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 — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dbt Local Development Guide (Fusion / dbt 2.0)
Purpose
Guide AI agents through installing and configuring dbt on local machines using the dbt Fusion
engine (dbt 2.0). Fusion is a single standalone Rust binary — there is no Python requirement, no
conda, and no separate dbt-snowflake adapter package to install. The agent runs a diagnostic
script, installs Fusion via the official installer, and guides the user through Snowflake
configuration.
When to Use This Skill
Activate this skill when users ask about:
- Installing the dbt Fusion engine (dbt 2.0)
- Configuring profiles.yml for Snowflake
- Setting up authentication (PAT, SSO, key pair, OAuth)
- Installing and managing dbt packages
- Troubleshooting connection issues
- Initializing new dbt projects
- Verifying installation and configuration
- Upgrading dbt versions
Official dbt Documentation: Install dbt · dbt Projects on Snowflake
AI Agent Workflow
IMPORTANT: This skill uses non-interactive scripts. The AI agent must:
- Run the diagnostic script to check the environment
- Install the Fusion engine if dbt is missing or not on version 2.0.x
- Verify the installation
- Guide the user through next steps
Step 1: Check Environment
AI Agent Action: Run the check script to see whether dbt Fusion is already installed:
macOS/Linux:
cd .claude/skills/dbt-core/scripts/
./check-environment.sh
Windows:
cd .claude\skills\dbt-core\scripts\
check-environment.bat
What It Checks:
- Whether
dbtis on PATH - Whether
dbt --versionreports the Fusion engine (2.0.x) - snowflake-cli availability (optional, separate tool)
- curl availability (required by the installer)
Output: Structured summary with a recommendation for next steps.
Step 2: Install the dbt Fusion Engine
If dbt is not installed (or is not the Fusion 2.0.x engine), run the installer. Fusion installs to a per-user location and does not require sudo/admin.
What ships with it
5 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.
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.
- 11d ago First seen · 350 lines · 50 tokens per session scan E 6371134e7d5e
dbt-core is a skill published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 2,396 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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