dbhub: Instructions file for GitHub Copilot

.github/copilot-instructions.md

dbhub copilot-instructions.md is an instructions file for GitHub Copilot from bytebase/dbhub. It costs 139 tokens per session, scanned A, original, MIT.

Instructions for DBHub, an MCP server that lets AI agents send SQL queries to a development database. SQL is the language used to inspect and change database tables and records.

In plain words
What is it for?
Use it to list tables, describe table columns, read records, or—when explicitly enabled for development and testing—insert, update, or create database data.
Why use it?
It gives agents a defined way to inspect database structure and data while allowing read-only mode to reduce the risk of accidental changes.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is bytebase/dbhub's own configuration. It tells GitHub Copilot how to work on dbhub 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 dbhub configures →

About the project

DBHub is a lightweight Model Context Protocol server that lets compatible AI clients connect to and explore PostgreSQL, MySQL, MariaDB, SQL Server, and SQLite databases through one interface. Developers and other users employ it for schema inspection, query validation, debugging, and controlled read-only database access; the catalogue entries provide agent skills, instructions, an MCP configuration, and a plugin.

bytebase/dbhub · 3,753 stars · on GitHub · dbhub.ai

Reuse

Borrowing it

Nothing to install: this file belongs to bytebase/dbhub. 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/bytebase/dbhub/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/bytebase/dbhub

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.

agentmods badge for dbhub copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/bytebase/dbhub/copilot-instructions/github.svg)](https://agentmods.dev/instructions/bytebase/dbhub/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/bytebase/dbhub/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/bytebase/dbhub/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.

agentmods 80×15 button for dbhub copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/bytebase/dbhub/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/bytebase/dbhub/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 139 This file is loaded in full into every session.
When invoked 139 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00139 $0.00139
Opus 5.5 $0.00056 $0.00056
Sonnet 5.5 $0.00028 $0.00028
Haiku 4.5 $0.00014 $0.00014

Measured 2mo ago against content hash 8949dd66d990, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dbhub 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/copilot-instructions.md · 18 lines

What it actually says

Database Access

This project provides an MCP server (DBHub) for secure SQL access to the development database.

AI agents can execute SQL queries. In read-only mode (recommended for production):

  • SELECT * FROM users LIMIT 5;
  • SHOW TABLES;
  • DESCRIBE table_name;

In read-write mode (development/testing):

  • INSERT INTO users (name, email) VALUES ('John', '[email protected]');
  • UPDATE users SET status = 'active' WHERE id = 1;
  • CREATE TABLE test_table (id INT PRIMARY KEY);

Use --readonly flag to restrict to read-only operations for safety.

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. 2mo ago First seen · 18 lines · 139 tokens per session scan A 8949dd66d990

Subscribe to this mod's changes

dbhub copilot-instructions.md is an instructions file published in the GitHub repository bytebase/dbhub (3,753 stars, last pushed 3d ago), licensed MIT. It adds 139 tokens to every session, about $0.0006 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 2026-08-30.

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