data-validation-setup

data-validation-setup is a skill for Claude Code from sfc-gh-dflippo/snowflake-dbt-demo. It costs 27 tokens per session (935 once invoked), scanned A, original, Apache-2.0.

A one-time setup workflow for the service used to validate migrated data between supported source databases and Snowflake. Snowflake is a cloud database, and the workflow checks that its validation service is ready.

In plain words
What is it for?
It is for preparing the cloud service, compute resources, and worker configuration for source-to-Snowflake data validation.
Why use it?
It removes the infrastructure setup work needed before data-validation jobs can run.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Part of the snowflake-migration plugin — 72 skills, 7 agents shipped together

Good fit It is for preparing the cloud service, compute resources, and worker configuration for source-to-Snowflake data validation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sfc-gh-dflippo/snowflake-dbt-demo/data-validation
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 sfc-gh-dflippo/snowflake-dbt-demo --skill data-validation
Clone the repo
git clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demo

Made for: Claude Code.

Or install snowflake-migration, the plugin that ships this one along with the rest of its 72 skills, 7 agents.

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.

agentmods badge for data-validation-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/data-validation/github.svg)](https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/data-validation)
Your own site
<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/data-validation"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/data-validation/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.

agentmods 80×15 button for data-validation-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/data-validation"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/data-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 935 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00935
Opus 5 $0.00014 $0.00467
Sonnet 5 $0.00005 $0.00187
Haiku 4.5 $0.00003 $0.00093

Measured 2d ago against content hash 05c78feb0478, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

data-validation-setup 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 2d 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.

.claude/skills/snowflake-migration/skills/migration/setup/data-validation/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cloud Data Validation Setup

One-time infrastructure setup for validating migrated data between a source database and Snowflake using the Cloud Data Validation feature via the scai CLI.

Supported sources: SQL Server, Redshift, Oracle, Teradata, PostgreSQL, Snowflake Supported target: Snowflake

Prerequisite

Load ../../data-infrastructure/SKILL.md first. It handles shared prerequisites, compute pool registration, and worker config (source host/port/credentials, source database, source schema). Return here after it completes.

For migration-source projects, validation requires target tables to already be deployed to Snowflake. For Snowflake-to-Snowflake validation, the source and target objects must already exist; do not run deployment or data migration first.


Step 1: Verify Orchestrator Service

After the shared infrastructure step has registered the compute pool, confirm the orchestrator service started:

SELECT SYSTEM$GET_SERVICE_STATUS('SNOWCONVERT_AI.DATA_MIGRATION.DATA_MIGRATION_SERVICE');

If it returns [] (suspended/not started), resume it manually:

ALTER SERVICE SNOWCONVERT_AI.DATA_MIGRATION.DATA_MIGRATION_SERVICE RESUME;

Wait 30-60s and re-check until status shows READY.

This completes infrastructure setup. The actual validation is started later by the validate-objects skill via:

  1. progress_setup(mode="data_validation") — choose full vs incremental (+ sync strategy).
  2. validate_data(mode="setup", where=..., validation_type=..., sync_strategy=...) — generates artifacts/data_validation/workflows/<hash>.yaml and patches known toggles / sync strategy.
  3. data_infrastructure(mode="up") — bring the shared orchestrator + worker up once. Snowflake-source projects bring up only the orchestrator (start_worker=false).
  4. Agent edits (e.g. watermarkColumn, partition columns) then validate_data(mode="run", workflow_path=...) — pure dispatch (scai data validate create-workflow) against the already-running infrastructure.

Read the full file on GitHub · 77 lines

Files

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.

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.

  1. 2d ago First seen · 77 lines · 27 tokens per session scan A 05c78feb0478

Subscribe to this mod's changes

data-validation-setup is a skill published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed 3d ago), licensed Apache-2.0. It adds 27 tokens to every session and 935 once invoked, about $0.0001 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 2026-09-10.

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