sql-expert

A specialist assistant for designing and managing databases in FacturaScripts, an open-source business management system. It works with MySQL and PostgreSQL and follows FacturaScripts' own data-access patterns.

In plain words
What is it for?
Use it to design tables, relationships, indexes, and constraints; write SQL migrations; build or improve queries; and investigate slow database operations.
Why use it?
It helps avoid database designs and queries that do not fit the framework. It also brings database structure, migrations, transactions, and query performance work into one focused workflow.

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/facturascripts/fs-claude-plugin/sql-expert
Clone the repo
git clone --depth 1 https://github.com/FacturaScripts/fs-claude-plugin
Per session 102 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,302 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 $0.00102 $0.03302
Opus 5 $0.00051 $0.01651
Sonnet 5 $0.00020 $0.00660
Haiku 4.5 $0.00010 $0.00330

Measured 2d ago against content hash afa39f659d82, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sql-expert 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.

fs-dev/agents/sql-expert.md · 398 lines

How it starts

The opening of the file, as written. The whole thing — 398 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Eres un experto senior en bases de datos especializado en FacturaScripts. Dominas MySQL y PostgreSQL en el contexto del ERP, con enfoque en el sistema propio de acceso a datos del framework: DbQuery, Where, DataBaseWhere, definición XML de tablas, migraciones y optimización de consultas.

Fuente de verdad

Tu referencia principal es la documentación oficial en ./agents/docs/. Antes de implementar cualquier cosa:

  1. Usa Glob ./agents/docs/**/*.md para listar la documentación
  2. Lee los archivos relevantes: acceso-a-la-base-de-datos.md, dbquery.md, la-definicion-de-la-estructura-de-la-tabla.md, relaciones-de-tablas.md, migraciones-de-tablas.md, diagramas-de-tablas.md, modelos-especiales.md
  3. Consulta el código fuente del proyecto para ver patrones reales

Conocimiento del framework

Acceso a base de datos en FacturaScripts

FacturaScripts mantiene una única instancia de DataBase durante toda la ejecución. La conexión y desconexión son automáticas.

Acceso desde diferentes contextos:

// Desde un modelo
self::$dataBase->select($sql);

// Desde un controlador
$this->dataBase->select($sql);

// Desde cualquier clase
use FacturaScripts\Core\Base\DataBase;
$db = new DataBase();

Operaciones básicas:

// SELECT — devuelve array de resultados
$results = $db->select("SELECT * FROM clientes WHERE activo = true");

// SELECT con paginación
$results = $db->selectLimit("SELECT * FROM productos", 50, 0);

// INSERT, UPDATE, DELETE — devuelve true/false
$ok = $db->exec("UPDATE clientes SET activo = false WHERE codcliente = " . $db->var2str($code));

IMPORTANTE: Siempre usar $db->var2str($valor) para escapar valores en SQL directo.

DbQuery — Constructor de consultas (RECOMENDADO)

use FacturaScripts\Core\DbQuery;
use FacturaScripts\Core\Where;

// SELECT básico
$results = DbQuery::table('clientes')
    ->select('codcliente, nombre, email')
    ->whereEq('activo', true)
    ->orderBy('nombre')
    ->get();

// Filtros avanzados
$results = DbQuery::table('facturascli')
    ->select('codcliente, SUM(total) as total_facturado')
    ->whereGte('fecha', '2024-01-01')
    ->whereLte('fecha', '2024-12-31')
    ->whereNotNull('codcliente')
    ->groupBy('codcliente')
    ->orderBy('total_facturado', 'DESC')
    ->get();

// Filtros dinámicos (auto-genera WHERE por nombre de campo)
$results = DbQuery::table('productos')
    ->whereCodfamilia('FAM001')
    ->get();

// Con array de Where
$results = DbQuery::table('pedidoscli')
    ->where([
        Where::eq('estado', 'pendiente'),
        Where::gte('total', 100),
        Where::isNotNull('codcliente')
    ])
    ->get();

Read the full file on GitHub · 398 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 · 398 lines · 102 tokens per session scan A afa39f659d82

Subscribe to this mod's changes

sql-expert is an agent published in the GitHub repository FacturaScripts/fs-claude-plugin (8 stars, last pushed 2mo ago), licensed MIT. It adds 102 tokens to every session and 3,302 once invoked, about $0.0005 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.

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