dataproduct-builder-dbt copilot-instructions.md

Project instructions for a coding-agent plugin that helps build dbt data products and connect them with Entropy Data. dbt is a tool for transforming data with SQL and managing those transformations as a project.

In plain words
What is it for?
Use them when creating or auditing dbt data products, adding missing project structures, or choosing the appropriate plugin skill for a data-engineering task.
Why use it?
They map user requests to the correct skills and explain how those skills should be read and followed, including their checks and confirmation points.

Instructions file for GitHub Copilot

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.

agentmods
npx agentmods add instructions/entropy-data/dataproduct-builder-dbt/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/entropy-data/dataproduct-builder-dbt

Made for: GitHub Copilot.

Per session 1,005 This file is loaded in full into every session.
When invoked 1,005 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01005 $0.01005
Opus 5 $0.00502 $0.00502
Sonnet 5 $0.00201 $0.00201
Haiku 4.5 $0.00101 $0.00101

Measured 2d ago against content hash 3b3296722fa4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dataproduct-builder-dbt 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 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.

.github/copilot-instructions.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dataproduct-builder-dbt — Copilot CLI instructions

This file is the plugin's authoritative routing manifest, not a template. It ships at the plugin's repo root and is loaded automatically when you install the plugin with /plugin install github.com/entropy-data/dataproduct-builder-dbt. Don't copy it into your project — when the plugin updates, this file updates with it.

This repository is a coding-agent plugin that helps build dbt data products and integrate them with Entropy Data. It exposes its capabilities as skills — markdown files under skills/<name>/SKILL.md that you read top-to-bottom and execute step by step.

When a user request matches a skill's trigger, read the corresponding SKILL.md start to finish before acting. Each skill contains audit steps, parameter-gathering, and explicit user-confirmation gates that must not be skipped.

Skills

When the user asks about… Follow this skill
Scaffolding a brand-new dbt data product from scratch (greenfield, empty directory) skills/dataproduct-bootstrap/SKILL.md
Auditing an existing dbt project against the Entropy Data layout and adding what's missing (ODPS, ODCS, OpenLineage, GitHub Actions, git connections) skills/entropy-data-sync/SKILL.md
Implementing a data product from a published Entropy Data URL or id — derive dbt output-port models from the ODCS schema skills/dataproduct-implement/SKILL.md
Editing a data contract (datacontracts/*.odcs.yaml) and testing whether the change is breaking skills/datacontract-edit/SKILL.md
Testing existing data contracts against the live warehouse (no edits — just run datacontract test) skills/datacontract-test/SKILL.md
Uploading example / sample rows for a data product to Entropy Data skills/dataproduct-exampledata/SKILL.md
Listing teams in Entropy Data (e.g. to pick TEAM_NAME as the data product owner) skills/entropy-data-teams/SKILL.md

The trigger phrasing above is illustrative; each SKILL.md's frontmatter description is authoritative. Skills can also call other skills — e.g. dataproduct-bootstrap hands off to entropy-data-sync. Platform-touching skills verify the entropy-data CLI connection with entropy-data connection test as their Step 0 and abort if it fails; they do not prompt for credentials themselves.

Read the full file on GitHub · 41 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. 2d ago First seen · 41 lines · 1,005 tokens per session scan A 3b3296722fa4

Subscribe to this mod's changes

dataproduct-builder-dbt copilot-instructions.md is an instructions file published in the GitHub repository entropy-data/dataproduct-builder-dbt (12 stars, last pushed 3mo ago), licensed MIT. It adds 1,005 tokens to every session, about $0.0050 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 2026-08-30.

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