register-snowflake-dataset

register-snowflake-dataset is a skill for Claude Code from narrative-io/narrative-skills-marketplace. It costs 100 tokens per session (3,366 once invoked), scanned A, original, MIT.

A SQL-based tool for registering a Snowflake table or view as a Narrative dataset. Snowflake is a cloud data platform, and a dataset here is a registered data object that the Narrative application can use.

In plain words
What is it for?
Use it to onboard a named Snowflake table or view, verify its active registration, and receive its dataset identifier and reversal command.
Why use it?
It avoids using the application's browser configuration screen while requiring confirmation that the registration is active and providing the SQL needed to undo it.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool; mentions Claude Code.

Part of the narrative-common plugin — 8 skills shipped together

Good fit Use it to onboard a named Snowflake table or view, verify its active registration, and receive its dataset identifier and reversal command.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/narrative-io/narrative-skills-marketplace/register-snowflake-dataset
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 narrative-io/narrative-skills-marketplace --skill register-snowflake-dataset
Clone the repo
git clone --depth 1 https://github.com/narrative-io/narrative-skills-marketplace

Made for: Claude Code.

Or install narrative-common, the plugin that ships this one along with the rest of its 8 skills.

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 register-snowflake-dataset

README.md
[![agentmods](https://agentmods.dev/badge/skills/narrative-io/narrative-skills-marketplace/register-snowflake-dataset/github.svg)](https://agentmods.dev/skills/narrative-io/narrative-skills-marketplace/register-snowflake-dataset)
Your own site
<a href="https://agentmods.dev/skills/narrative-io/narrative-skills-marketplace/register-snowflake-dataset"><img src="https://agentmods.dev/badge/skills/narrative-io/narrative-skills-marketplace/register-snowflake-dataset/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 register-snowflake-dataset

Your own site · 80×15
<a href="https://agentmods.dev/skills/narrative-io/narrative-skills-marketplace/register-snowflake-dataset"><img src="https://agentmods.dev/badge/skills/narrative-io/narrative-skills-marketplace/register-snowflake-dataset.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,366 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 $0.00100 $0.03366
Opus 5.5 $0.00040 $0.01346
Sonnet 5.5 $0.00020 $0.00673
Haiku 4.5 $0.00010 $0.00337

Measured 14d ago against content hash fa6cd1d81a9b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

register-snowflake-dataset 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 14d 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.

plugins/narrative-common/skills/register-snowflake-dataset/SKILL.md · 352 lines

How it starts

The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Register Snowflake Dataset

Persona

You are a data-plane operator registering Snowflake objects as Narrative datasets in SQL. You optimize for:

  1. Verification — a registration is only reported once the data.mappings row and the API's status: active both confirm it.
  2. Least privilege — dataset_registration, never app_admin, unless the user is deleting.
  3. Reversibility — every registration is reported with the DELETE that undoes it.

You never register an object the user did not name, never invent a display name or a schema override, and never call the confirm step optional.

Overview

code.register_dataset describes the object, infers its dataset schema, creates and activates the dataset, and returns a dataset_id — the scriptable equivalent of the native app's Configuration screen. Both routes require the app to have been installed and configured once.

Two rules are non-negotiable. Registration is a mutation, so it does not run until the user has approved the exact statement. And success is never reported on the procedure's return value alone — only a data.mappings row plus status: active from the API count as confirmation.

Arguments

Argument Behavior
--object <db.schema.name> Source table or view. Ask if missing.
--display-name <text> Platform name; must be unique. Ask if missing.
--machine-name <text> Optional. Snowflake derives it from the display name when omitted.
--description <text> Optional free text. Omit the argument when not supplied.
--app <application> Native app. Default NARRATIVE_DATA_COLLABORATION.

When to use

Use for registering a table or view you can already SELECT from.

Do NOT use for: installing or configuring the app (a one-time setup outside this skill); querying a dataset that already exists (use /write-nql); mapping its columns to Rosetta Stone (use /generate-rosetta-stone-mappings).

Read the full file on GitHub · 352 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. 14d ago First seen · 352 lines · 100 tokens per session scan A fa6cd1d81a9b

Subscribe to this mod's changes

register-snowflake-dataset is a skill published in the GitHub repository narrative-io/narrative-skills-marketplace (9 stars, last pushed today), licensed MIT. It adds 100 tokens to every session and 3,366 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-26.

Related

Other skills, from other repositories

manage-connector

Use when connecting to external data systems for ingestion or export in DataSQRL. Use for Kafka, filesystem, database, Iceberg, or other connector configuration.

DataSQRL/sqrl · 36 tokens

data-engineering

Design and operate data infrastructure — database operations (vector, relational, graph, time-series), ETL/ELT pipeline design (dbt patterns, incremental loading), SQL analytical patterns, data quality monitoring, schema migration, and storage infrastructure management, including model-assisted transformation…

magnus919/agent-skills · 80 tokens

build-feature-store

Build a feature store using Feast for centralized feature management, configure offline and online stores for batch and real-time serving, define feature views with transformations, and implement point-in-time correct joins for ML pipelines. Use when managing features for multiple ML models, ensuring training-serving…

pjt222/agent-almanac · 86 tokens

aidp-alh

Connect from an AIDP notebook to Oracle AI Lakehouse (ALH), Autonomous Data Warehouse (ADW), or Autonomous Transaction Processing (ATP). Prefer the AIDP aidataplatform Spark format handler for wallet/password and catalog.id paths (ORACLEALH / ORACLEATP), but use raw Spark JDBC for IAM DB-token because the AIDP…

oracle-samples/oracle-aidp-samples · 93 tokens

infa-migrate-mapping

Convert Informatica mappings (PowerCenter XML or IDMC/IICS JSON) into PySpark notebooks for AIDP via infa2aidp cli migrate. Covers --use-llm/--agentic, --comparison fidelity reports, --workers batch mode, and --target-catalog-type delta|adw. This is the main run — use once infa-analyze has been read and the user is…

oracle-samples/oracle-aidp-samples · 138 tokens

aidp-ingest-file-to-table

Load a data file (CSV/JSON/Parquet/etc.) into a managed AIDP Delta table. Use when the user wants to ingest a file into a table, create a table from a file, or land raw data in the lakehouse. Supports the 1-step path and the 3-step upload→infer→create path. Control-plane via the official aidp CLI.

oracle-samples/oracle-aidp-samples · 88 tokens