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snowflake-architecture-diagram

snowflake-architecture-diagram is a skill for Claude Code, Codex from sfc-gh-abannerjee/SnowGram. It costs 109 tokens per session (2,070 once invoked), scanned A, original, MIT.

A skill for creating, viewing, and exporting Snowflake architecture diagrams. Snowflake is a cloud data platform for storing, processing, and analyzing data.

In plain words
What is it for?
Use it to design or refine diagrams for data warehouses, streaming systems, Internet-of-Things pipelines, security, machine learning, customer data, governance, or existing table lineage.
Why use it?
It turns data pipelines, services, and their connections into diagrams that can be inspected locally and shared in common image or diagram formats.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./skills/snowflake-architecture-diagram/install.sh.

not rated 2repo 3mo ago A scan 109 tokens original MIT

Good fit Use it to design or refine diagrams for data warehouses, streaming systems, Internet-of-Things pipelines, security, machine learning, customer data, governance, or existing table lineage.

Compare 6 skills from other repositories ↓
View source ↗ sfc-gh-abannerjee/SnowGram
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/sfc-gh-abannerjee/SnowGram
agentmods
npx agentmods add skills/sfc-gh-abannerjee/snowgram/snowflake-architecture-diagram

Made for: Claude Code, Codex.

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 snowflake-architecture-diagram

README.md
[![agentmods](https://agentmods.dev/badge/skills/sfc-gh-abannerjee/snowgram/snowflake-architecture-diagram/github.svg)](https://agentmods.dev/skills/sfc-gh-abannerjee/snowgram/snowflake-architecture-diagram)
Your own site
<a href="https://agentmods.dev/skills/sfc-gh-abannerjee/snowgram/snowflake-architecture-diagram"><img src="https://agentmods.dev/badge/skills/sfc-gh-abannerjee/snowgram/snowflake-architecture-diagram/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 snowflake-architecture-diagram

Your own site · 80×15
<a href="https://agentmods.dev/skills/sfc-gh-abannerjee/snowgram/snowflake-architecture-diagram"><img src="https://agentmods.dev/badge/skills/sfc-gh-abannerjee/snowgram/snowflake-architecture-diagram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,070 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00109 $0.02070
Opus 5 $0.00055 $0.01035
Sonnet 5 $0.00022 $0.00414
Haiku 4.5 $0.00011 $0.00207

Measured 11d ago against content hash a6b1e749f9a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

snowflake-architecture-diagram scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 30 executable files (assets/composer/__init__.py, assets/composer/build_rich_states.py, assets/composer/composer.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

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

Optionally probe `localhost:3002` and `localhost:8082` (curl with 1s timeout) to detect `CONNECTED_UI_READY`.
skills/snowflake-architecture-diagram/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Snowflake Architecture Diagram

Generate professional Snowflake architecture diagrams with one of four modes. The skill auto-detects what is available and routes to the right sub-skill. Output is always exportable (Mermaid source, SVG, PNG) and renders in a self-contained viewer that runs locally.

When to load

Trigger this skill when the user wants to:

  • Create a Snowflake architecture diagram (medallion, streaming, IoT, security, ML, customer 360, governance, etc.)
  • Visualize a real data pipeline (from lineage of an existing table)
  • Export a diagram for slides, docs, or sharing
  • Refine or iterate on a previously generated diagram

Prerequisites

Mode Requires
standalone Python 3 + a modern browser. No Snowflake connection needed.
connected-cli Active cortex connection + SNOWGRAM_AGENT deployed
connected-ui Connected-CLI prerequisites + frontend at localhost:3002 + backend at localhost:8082
from-lineage Active cortex connection with lineage access (any account)
bootstrap Active connection with privileges to deploy SnowGram into a target DB

Path resolution (READ THIS FIRST)

All sub-skills reference assets via $SKILL_DIR/... (bash) or SKILL_DIR/... (Python). Resolve these once at the top of any workflow:

# Bash — source the canonical resolver, then use $SKILL_DIR / $VIEWER_DIR / etc.
source "<absolute path to assets/scripts/skill_paths.sh>"
echo "$SKILL_DIR"   # absolute path to the skill root

# Python — import skill_paths from assets/scripts/
import sys, importlib.util
spec = importlib.util.spec_from_file_location(
    "skill_paths",
    "<absolute path to assets/scripts/skill_paths.py>",
)
sp = importlib.util.module_from_spec(spec); spec.loader.exec_module(sp)
TEMPLATES_DIR = sp.TEMPLATES_DIR  # etc.

Where to find the absolute path of assets/scripts/skill_paths.sh:

  • The skill loader's preamble shows Base directory for this skill: <PATH>. Take that path and append /assets/scripts/skill_paths.sh.
  • Or call cortex skill list and find the snowflake-architecture-diagram: line.

Read the full file on GitHub · 177 lines

Files

What ships with it

60 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.

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. 11d ago First seen · 177 lines · 109 tokens per session scan A a6b1e749f9a3

Subscribe to this mod's changes

snowflake-architecture-diagram is a skill published in the GitHub repository sfc-gh-abannerjee/SnowGram (2 stars, last pushed 3mo ago), licensed MIT. It adds 109 tokens to every session and 2,070 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

DatabasesDesign and UX
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