dbt_duckdb_demo_public: Instructions file for Claude Code

CLAUDE.md

dbt_duckdb_demo_public CLAUDE.md is an instructions file for Claude Code from edwinweber/dbt_duckdb_demo_public. It costs 7,477 tokens per session, scanned A, original, MIT.

Project instructions for a data-engineering demo that collects public data and transforms it with Python, Dagster, dlt, dbt, and DuckDB. The project includes data from the Danish Parliament and the Rfam biological database.

In plain words
What is it for?
They help maintain pipelines that extract, transform, test, query, and optionally export public datasets to Microsoft Fabric OneLake.
Why use it?
They explain the project’s structure, tools, data sources, and storage layers so an AI assistant can make changes in the expected way.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

This is edwinweber/dbt_duckdb_demo_public's own configuration. It tells Claude Code how to work on dbt_duckdb_demo_public itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dbt_duckdb_demo_public configures →

Reuse

Borrowing it

Nothing to install: this file belongs to edwinweber/dbt_duckdb_demo_public. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/edwinweber/dbt_duckdb_demo_public/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/edwinweber/dbt_duckdb_demo_public

Made for: Claude Code.

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Per session 7,477 This file is loaded in full into every session.
When invoked 7,477 The same file — it is already loaded in full.
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 $0.07477 $0.07477
Opus 5 $0.03739 $0.03739
Sonnet 5 $0.01495 $0.01495
Haiku 4.5 $0.00748 $0.00748

Measured 12d ago against content hash bcbae1990b0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dbt_duckdb_demo_public CLAUDE.md 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 12d 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.

Makes network callslowCapability

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

`azure_transport_option_type = 'curl'`, and creates a persistent Azure
CLAUDE.md · 548 lines

How it starts

The opening of the file, as written. The whole thing — 548 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — Project Context for AI Assistants

Project Overview

Danish Democracy Data (dbt + DuckDB Demo) — a data engineering pipeline that ingests open data from the Danish Parliament OData API (18 entities) and the Rfam public MySQL database (7 tables), transforms it through a Bronze → Silver → Gold medallion architecture inside DuckDB, and optionally exports the result as Delta Lake tables to Microsoft Fabric OneLake.

  • Repo: edwinweber/dbt_duckdb_demo
  • Default branch: main
  • License: see LICENSE file
  • A learning/reference project demonstrating common data engineering patterns on a low-cost, open-source stack.

Tech Stack

Layer Technology
Language Python ≥3.12
Orchestration Dagster ≥1.12 (software-defined assets)
Extraction dlt ≥1.24 (Data Load Tool)
Transformation dbt-core ≥1.10,<1.12 + dbt-duckdb ≥1.10
Query engine DuckDB ≥1.5.1,<1.6
Silver storage DuckDB native tables (default) or DuckLake (Parquet + catalog)
Data quality dbt-utils 1.3.0 + dbt built-in tests
Cloud storage Microsoft Fabric OneLake (ADLS Gen2 / Delta Lake)
Export DuckDB delta_scan (dedup read) + deltalake ≥1.5 / PyArrow ≥17 (write)
SQL source SQLAlchemy ≥2.0, PyMySQL ≥1.1
Container Docker + Docker Compose
Testing pytest ≥8.0

Architecture

Extraction (dlt)
   ↓  JSON / Parquet files
Bronze (DuckDB views over raw files)
   ↓  hash-based CDC, SCD Type 2
Silver (DuckDB native tables OR DuckLake Parquet + _cv current-version views)
   ↓  star-schema modeling
Gold (DuckDB views — facts & dimensions)
   ↓  Delta Lake export
OneLake / local filesystem

Read the full file on GitHub · 548 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.

  1. 12d ago First seen · 548 lines · 7,477 tokens per session scan A bcbae1990b0a

Subscribe to this mod's changes

dbt_duckdb_demo_public CLAUDE.md is an instructions file published in the GitHub repository edwinweber/dbt_duckdb_demo_public (49 stars, last pushed 2mo ago), licensed MIT. It adds 7,477 tokens to every session, about $0.0374 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 2026-08-30.

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