What is setup-snowflake?

A guided first-time connection wizard for Snowflake, a cloud data warehouse. It collects connection details, registers the dataset, and verifies that the analyst is connected to the intended warehouse.

Use it to connect the analyst to Snowflake, configure credentials, register a dataset, install the required driver, and verify the live warehouse session.

It avoids declaring success when only an optional tool or local copy is connected. It also keeps the analyst's query path and connection tracking consistent.

setup-snowflake — Skill for Claude Code by ai-analyst-lab/ai-analyst

Install

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.

Any agent

npx skills add ai-analyst-lab/ai-analyst --skill setup-snowflake

Clone the repo

git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/setup-snowflake/github.svg)](https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/setup-snowflake)

Your own site

<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/setup-snowflake"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/setup-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/setup-snowflake"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/setup-snowflake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,946 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00133	$0.01946
Opus 5.5	$0.00053	$0.00778
Sonnet 5.5	$0.00027	$0.00389
Haiku 4.5	$0.00013	$0.00195

Measured 1mo ago against content hash fc8d690692bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

setup-snowflake scanned grade C with 2 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 1mo 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

1. Install `uv`: `curl -LsSf https://astral.sh/uv/install.sh | sh`, then `~/.local/bin/uvx --version`.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. Install `uv`: `curl -LsSf https://astral.sh/uv/install.sh | sh`, then `~/.local/bin/uvx --version`.

.claude/skills/setup-snowflake/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Setup Snowflake

Purpose

Guided first-time Snowflake setup for the native ConnectionManager path — the connection the AI Analyst uses for every query, so every result is traced and logged. This wizard collects the connection details, stores credentials safely, registers the dataset, and then proves the session is actually on the warehouse (not the local practice copy) before it will report success.

This is deliberately native-first. The MCP server (snowflake-labs-mcp via uvx) is a separate, optional tool for interactive ad-hoc queries and is kept in the Appendix. The analyst does not query through the MCP, so setting up only the MCP leaves the analyst unconnected. Set up the native path first.

When to Use

/setup-snowflake, "set up snowflake", "connect to snowflake", "I have a snowflake account"
Routed here from /connect-data when the user selects Snowflake

Prerequisite: the driver

The native path needs snowflake-connector-python. Check it and install if missing:

python3 -c "import snowflake.connector; print('driver OK')" || pip install snowflake-connector-python

(It also ships in the warehouses extra: pip install -e ".[warehouses]".)

Step 1: Choose authentication and collect the connection details

The repo ships blank, so ask for every field, one question at a time. In a class the instructor will read these out; leave each empty until the user gives it. Collect:

Authentication method — recommend programmatic_access_token for service and agent users. Keep password only for accounts that still permit it. Do not imply that a service user can solve password deprecation with MFA.
Account identifier — e.g. ORGNAME-ACCOUNTNAME (Snowsight: your name, bottom-left, then Account, then View account details).
Username
Warehouse — the compute warehouse to run on (e.g. ANALYST_WH).
Database
Schema — default PUBLIC if they do not say.
Role — optional; skip if they do not use one.
A short dataset name for this connection (used as the dataset id, lowercase-hyphen).

Read the full file on GitHub · 158 lines

Changes

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.

1mo ago Changed · +12 lines · +2 tokens per session fc8d690692bd
1mo ago First seen · 146 lines · 131 tokens per session scan C 1e0fd162eb4d

Subscribe to this mod's changes

setup-snowflake is a skill published in the GitHub repository ai-analyst-lab/ai-analyst (322 stars, last pushed 1mo ago), licensed MIT. It adds 133 tokens to every session and 1,946 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-12.

Cloud Databases DevOps and cloud

setup-snowflake next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
setup-snowflakeai-analyst-lab/ai-analyst	Skill	322	1mo ago	MIT	C	133	Claude Code
cloud-databases-onboardinggoogle/skills	Skill	22k	yesterday	Apache-2.0	A	83	Claude Code, Codex
atlas-lakebaseariga/atlas	Skill	8.8k	yesterday	Apache-2.0	A	140	Claude Code
azure-mgmt-mongodbatlas-dotnetmicrosoft/skills	Skill	3.2k	yesterday	MIT	A	64	Claude Code
azure-resource-manager-mysql-dotnetmicrosoft/skills	Skill	3.2k	yesterday	MIT	A	87	Claude Code
azure-resource-manager-redis-dotnetmicrosoft/skills	Skill	3.2k	yesterday	MIT	A	114	Claude Code
azure-resource-manager-sql-dotnetmicrosoft/skills	Skill	3.2k	yesterday	MIT	A	109	Claude Code

setup-snowflake