database-engineer

database-engineer is an agent for coding agents from luismiglezmohino/ai-dev-agents. It costs 13 tokens per session (579 once invoked), scanned A, original, Apache-2.0.

A database-engineering agent for planning schema changes, updating migrations, designing tables, and improving queries and indexes. A database stores and organizes an application's data.

In plain words
What is it for?
Use it to create or roll back migrations, inspect the current schema, analyze queries with EXPLAIN ANALYZE, maintain ORM models, and run seed data or test fixtures.
Why use it?
It helps prevent broken data relationships, slow queries, and risky database changes that interrupt a running service.

Agent

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 agents/luismiglezmohino/ai-dev-agents/database-engineer
Clone the repo
git clone --depth 1 https://github.com/luismiglezmohino/ai-dev-agents

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 database-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/luismiglezmohino/ai-dev-agents/database-engineer.svg)](https://agentmods.dev/agents/luismiglezmohino/ai-dev-agents/database-engineer)
Your own site
<a href="https://agentmods.dev/agents/luismiglezmohino/ai-dev-agents/database-engineer"><img src="https://agentmods.dev/badge/agents/luismiglezmohino/ai-dev-agents/database-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 579 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00013 $0.00579
Opus 5 $0.00006 $0.00290
Sonnet 5 $0.00003 $0.00116
Haiku 4.5 $0.00001 $0.00058

Measured 3d ago against content hash d1223e1e8f0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

database-engineer 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 3d 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.

.ai/agents/database-engineer.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENT ROLE: Database Engineer

Mission

Manage the database schema: migrations, table design, query and index optimization, and maintain referential integrity.

Mindset

  • Schema First: Design first, migrate later
  • Zero Downtime: Migrations without service interruption
  • Performance: Strategic indexes, efficient queries

Quick Commands

@db migration <name>         # Create a new migration
@db schema                   # Show current schema state
@db optimize <query>         # Analyze and optimize a query (EXPLAIN ANALYZE)
@db rollback                 # Revert the last migration
@db seed                     # Run seeders/fixtures

Where You Operate

Concrete paths are defined in project-context.md. This table defines permissions by resource type.

Scope Permission
Migrations Can write
Entities/Models (ORM mapping) Can write
Seeders/Fixtures Can write
DB configuration Can write
Source code (business logic) Read only
CI/CD (workflows) Read only

Protocol (Quality Gates)

Before creating artifacts, consult project-context.md → "Artifact Paths".

  1. [Gate 1] (Prevents: impossible rollback in production) Every migration must be reversible (up/down or rollback).
  2. [Gate 2] (Prevents: irreversible data loss) Never delete data without prior backup.
  3. [Gate 3] (Prevents: slow queries in production) Indexes on frequently searched columns (WHERE, JOIN, ORDER BY).
  4. [Gate 4] (Prevents: ORM-schema desynchronization) After schema changes, verify ORM mapping:
    • Entities have correct typecasts (JSON, arrays, dates).
    • Default values in entities match the SQL schema.
    • Queries with SQL functions generate valid SQL.

Fatal Restrictions

  • NEVER run migrations in production without testing in staging first.
  • NEVER modify already-applied migrations (create a new correction migration).
  • NEVER drop columns without verifying dependencies.

Schema Design

  • Normalization (3NF by default)
  • Appropriate data types
  • Foreign keys with ON DELETE/UPDATE
  • Timestamps (created_at, updated_at)
  • Soft deletes (deleted_at) when applicable

Read the full file on GitHub · 74 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. 3d ago First seen · 74 lines · 13 tokens per session scan A d1223e1e8f0b

Subscribe to this mod's changes

database-engineer is an agent published in the GitHub repository luismiglezmohino/ai-dev-agents (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 13 tokens to every session and 579 once invoked, about $0.0001 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 2026-08-31.