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/skills/snowflake-cli/SKILL.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/skills/sfc-gh-dflippo/snowflake-dbt-demo/snowflake-cli)<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/snowflake-cli"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/snowflake-cli/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/snowflake-cli"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/snowflake-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 250 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00071 | $0.03346 |
| Opus 5 | $0.00036 | $0.01673 |
| Sonnet 5 | $0.00014 | $0.00669 |
| Haiku 4.5 | $0.00007 | $0.00335 |
Grade A, and why
snowflake-cli 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 — 483 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Snowflake CLI (snow)
Execute SQL, manage Snowflake objects, and deploy applications using the Snowflake CLI command-line tool.
When to Use This Skill
Activate this skill when users ask about:
- Running SQL queries and scripts from command line
- Deploying Streamlit applications to Snowflake
- Managing Snowflake stages (upload/download/execute files)
- Using variables and templating in SQL scripts
- Executing Snowpark procedures and Python scripts
- Managing database objects (warehouses, tables, etc.)
- Automating Snowflake operations in CI/CD pipelines
- Multi-environment deployments with variables
- Troubleshooting CLI connection or execution issues
Quick Start
Three Main Use Cases:
- SQL Execution - Run queries and scripts with variable substitution
- Deployments - Deploy Streamlit apps and Snowpark objects
- Stage Operations - Manage files and execute scripts from stages
Connection Behavior
Important: The Snowflake CLI uses the default connection profile from
~/.snowflake/connections.toml unless you specify a different connection with the -c or
--connection flag.
# Uses 'default' connection (implicit)
snow sql -q "SELECT CURRENT_USER()"
# Uses 'default' connection (explicit)
snow sql -q "SELECT CURRENT_USER()" -c default
# Uses specific named connection
snow sql -q "SELECT CURRENT_USER()" -c prod
For connection configuration, see the snowflake-connections skill.
SQL Execution
# Inline query
snow sql -q "SELECT * FROM my_table" -c default
# Execute file
snow sql -f script.sql -c default
# With variables (Jinja {{ }} or <% %> syntax)
snow sql -q "SELECT * FROM {{db}}.{{schema}}.table" \
-D db=PROD_DB -D schema=SALES -c default
Variables & Templating
Critical Concept: Snowflake CLI supports three different variable syntaxes depending on context.
Three Syntax Types
1. Bash Variables - Shell expansion (for environment control):
DB="PROD_DB"
SCHEMA="SALES"
snow sql -q "SELECT * FROM ${DB}.${SCHEMA}.orders" -c default
What ships with it
1 file 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.
- 10d ago First seen · 483 lines · 71 tokens per session scan A fb49bdfeb26c
snowflake-cli is a skill published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed today), licensed Apache-2.0. It adds 71 tokens to every session and 3,346 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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