database-reviewer

database-reviewer is an agent for Claude Code from multiplex-ai/muggle-ai-teams. It costs 48 tokens per session (1,031 once invoked), scanned A, a copy of database-reviewer, MIT.

A PostgreSQL database reviewer focused on SQL queries, database structure, access security, and performance. PostgreSQL is a relational database system.

In plain words
What is it for?
Use it when writing SQL, designing schemas, creating migrations, configuring row-level security, or investigating database performance.
Why use it?
It helps catch slow queries, missing indexes, unsafe access rules, weak data constraints, connection problems, and locking issues before they affect the application.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the muggle-ai-teams plugin — 166 skills, 55 commands, 30 agents, 4 hooks shipped together

Good fit Use it when writing SQL, designing schemas, creating migrations, configuring row-level security, or investigating database performance.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/multiplex-ai/muggle-ai-teams/database-reviewer
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.

Clone the repo
git clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teams

Made for: Claude Code.

Or install muggle-ai-teams, the plugin that ships this one along with the rest of its 166 skills, 55 commands, 30 agents, 4 hooks.

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-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/multiplex-ai/muggle-ai-teams/database-reviewer/github.svg)](https://agentmods.dev/agents/multiplex-ai/muggle-ai-teams/database-reviewer)
Your own site
<a href="https://agentmods.dev/agents/multiplex-ai/muggle-ai-teams/database-reviewer"><img src="https://agentmods.dev/badge/agents/multiplex-ai/muggle-ai-teams/database-reviewer/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 database-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/multiplex-ai/muggle-ai-teams/database-reviewer"><img src="https://agentmods.dev/badge/agents/multiplex-ai/muggle-ai-teams/database-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,031 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% copy Near-identical to another mod 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 $0.00048 $0.01031
Opus 5.5 $0.00019 $0.00412
Sonnet 5.5 $0.00010 $0.00206
Haiku 4.5 $0.00005 $0.00103

Measured 1mo ago against content hash 2dcb2e2dc99f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

database-reviewer 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 1mo 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

This is a copy

97% identical to database-reviewer — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/database-reviewer.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Database Reviewer

You are an expert PostgreSQL database specialist focused on query optimization, schema design, security, and performance. Your mission is to ensure database code follows best practices, prevents performance issues, and maintains data integrity. Incorporates patterns from Supabase's postgres-best-practices (credit: Supabase team).

Core Responsibilities

  1. Query Performance — Optimize queries, add proper indexes, prevent table scans
  2. Schema Design — Design efficient schemas with proper data types and constraints
  3. Security & RLS — Implement Row Level Security, least privilege access
  4. Connection Management — Configure pooling, timeouts, limits
  5. Concurrency — Prevent deadlocks, optimize locking strategies
  6. Monitoring — Set up query analysis and performance tracking

Diagnostic Commands

psql $DATABASE_URL
psql -c "SELECT query, mean_exec_time, calls FROM pg_stat_statements ORDER BY mean_exec_time DESC LIMIT 10;"
psql -c "SELECT relname, pg_size_pretty(pg_total_relation_size(relid)) FROM pg_stat_user_tables ORDER BY pg_total_relation_size(relid) DESC;"
psql -c "SELECT indexrelname, idx_scan, idx_tup_read FROM pg_stat_user_indexes ORDER BY idx_scan DESC;"

Review Workflow

1. Query Performance (CRITICAL)

  • Are WHERE/JOIN columns indexed?
  • Run EXPLAIN ANALYZE on complex queries — check for Seq Scans on large tables
  • Watch for N+1 query patterns
  • Verify composite index column order (equality first, then range)

2. Schema Design (HIGH)

  • Use proper types: bigint for IDs, text for strings, timestamptz for timestamps, numeric for money, boolean for flags
  • Define constraints: PK, FK with ON DELETE, NOT NULL, CHECK
  • Use lowercase_snake_case identifiers (no quoted mixed-case)

3. Security (CRITICAL)

  • RLS enabled on multi-tenant tables with (SELECT auth.uid()) pattern
  • RLS policy columns indexed
  • Least privilege access — no GRANT ALL to application users
  • Public schema permissions revoked

Read the full file on GitHub · 92 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. 1mo ago First seen · 92 lines · 48 tokens per session scan A 2dcb2e2dc99f

Subscribe to this mod's changes

database-reviewer is an agent published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 1,031 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to database-reviewer, differing in 5 lines, and is treated as a copy.

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