What is data-product-hub copilot-instructions.md?

Repository instructions for GitHub Copilot covering Data Product Hub, a Python command-line tool that helps developers work with dbt, a tool for building and documenting data transformations.

Working on dbt model analysis, metadata checks, data-lineage views, model generation, AI recommendations, and HTML reports.

They explain the project's structure and main components, helping Copilot make changes in the right modules.

How armalite/data-product-hub configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to armalite/data-product-hub. 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/armalite/data-product-hub/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/armalite/data-product-hub

Made for: GitHub Copilot.

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/instructions/armalite/data-product-hub/copilot-instructions/github.svg)](https://agentmods.dev/instructions/armalite/data-product-hub/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/armalite/data-product-hub/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/armalite/data-product-hub/copilot-instructions/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/instructions/armalite/data-product-hub/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/armalite/data-product-hub/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,342 This file is loaded in full into every session.

When invoked 1,342 The same file — it is already loaded in full.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01342	$0.01342
Opus 5.5	$0.00537	$0.00537
Sonnet 5.5	$0.00268	$0.00268
Haiku 4.5	$0.00134	$0.00134

Measured 2mo ago against content hash 0df377340213, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-product-hub copilot-instructions.md 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 2mo 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.

.github/copilot-instructions.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Copilot Instructions for Data Product Hub

Project Overview

This repository contains Data Product Hub, a Python CLI application that provides AI-powered assistance for dbt (data build tool) development. The tool offers:

AI-powered recommendations for dbt model improvements (basic and advanced)
Model analysis including metadata validation and lineage visualization
Code generation for creating new dbt models from prompts
HTML report generation for presenting suggestions and analysis

Key Architecture Components

Core Modules

data_product_hub/main.py - CLI entry point and argument parsing
data_product_hub/dbt.py - DbtModelProcessor class with core dbt project analysis logic
data_product_hub/ai.py - OpenAI integration for generating recommendations and models
data_product_hub/report.py - HTML report generation using Jinja2 templates
data_product_hub/helper.py - Utility functions for YAML processing and formatting

Key Classes

DbtModelProcessor - Main processor class for analyzing dbt projects
- Handles model file parsing, metadata validation, lineage generation
- Supports multiple database types (Snowflake, PostgreSQL, Redshift, BigQuery)
- Provides both basic and advanced AI recommendations

Development Environment

Setup Requirements

Python >= 3.10 (specified in pyproject.toml)
Node.js (for pyright type checking)
make (for development tasks)

Development Workflow

make install    # Set up venv, install dependencies, git hooks
make check      # Run linting and type checking
make test       # Run pytest test suite
make lint       # Format code and run linters

Build System

Uses setuptools with pyproject.toml configuration
Pre-commit hooks for code quality (black, ruff, pyright)
Automated formatting with black (120 char line length)
Type checking with pyright

Code Style and Conventions

Python Style

Line length: 120 characters (configured in pyproject.toml)
Formatter: Black with default settings
Linter: Ruff with comprehensive rule set including:
- pyflakes (F), pycodestyle (E,W), type annotations (ANN)
- pep8-naming (N), bugbear (B), isort (I)
Type hints: Required for all functions (except self/cls and dunder methods)

Read the full file on GitHub · 167 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.

2mo ago First seen · 167 lines · 1,342 tokens per session scan A 0df377340213

Subscribe to this mod's changes

data-product-hub copilot-instructions.md is an instructions file published in the GitHub repository armalite/data-product-hub (8 stars, last pushed 1y ago), licensed MIT. It adds 1,342 tokens to every session, about $0.0054 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 2026-08-31.

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,719 tokens

data-product-hub: Instructions file for GitHub Copilot