database-reviewer

database-reviewer is an agent for coding agents from vibeeval/vibecosystem. It costs 48 tokens per session (4,674 once invoked), scanned A, original, MIT.

A PostgreSQL database specialist for checking SQL queries, database structure, access rules, connections, and performance. PostgreSQL is a database system; Row Level Security limits which records each user can access.

In plain words
What is it for?
Use it when writing SQL, designing tables, creating database migrations, reviewing access policies, or investigating slow database performance.
Why use it?
It helps catch slow queries, missing indexes, unsafe access, data-integrity problems, and concurrency issues before they affect an application.

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/vibeeval/vibecosystem/database-reviewer
Clone the repo
git clone --depth 1 https://github.com/vibeeval/vibecosystem

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/vibeeval/vibecosystem/database-reviewer.svg)](https://agentmods.dev/agents/vibeeval/vibecosystem/database-reviewer)
Your own site
<a href="https://agentmods.dev/agents/vibeeval/vibecosystem/database-reviewer"><img src="https://agentmods.dev/badge/agents/vibeeval/vibecosystem/database-reviewer.svg" alt="Measured on agentmods" 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 4,674 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 $0.00048 $0.04674
Opus 5 $0.00024 $0.02337
Sonnet 5 $0.00010 $0.00935
Haiku 4.5 $0.00005 $0.00467

Measured 4d ago against content hash ab49bc71c67b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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

3 near-identical copies found in the catalogue:

agents/database-reviewer.md · 663 lines

How it starts

The opening of the file, as written. The whole thing — 663 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. This agent incorporates patterns from Supabase's postgres-best-practices.

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

Tools at Your Disposal

Database Analysis Commands

# Connect to database
psql $DATABASE_URL

# Check for slow queries (requires pg_stat_statements)
psql -c "SELECT query, mean_exec_time, calls FROM pg_stat_statements ORDER BY mean_exec_time DESC LIMIT 10;"

# Check table sizes
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;"

# Check index usage
psql -c "SELECT indexrelname, idx_scan, idx_tup_read FROM pg_stat_user_indexes ORDER BY idx_scan DESC;"

# Find missing indexes on foreign keys
psql -c "SELECT conrelid::regclass, a.attname FROM pg_constraint c JOIN pg_attribute a ON a.attrelid = c.conrelid AND a.attnum = ANY(c.conkey) WHERE c.contype = 'f' AND NOT EXISTS (SELECT 1 FROM pg_index i WHERE i.indrelid = c.conrelid AND a.attnum = ANY(i.indkey));"

# Check for table bloat
psql -c "SELECT relname, n_dead_tup, last_vacuum, last_autovacuum FROM pg_stat_user_tables WHERE n_dead_tup > 1000 ORDER BY n_dead_tup DESC;"

Database Review Workflow

1. Query Performance Review (CRITICAL)

For every SQL query, verify:

Read the full file on GitHub · 663 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. 4d ago First seen · 663 lines · 48 tokens per session scan A ab49bc71c67b

Subscribe to this mod's changes

database-reviewer is an agent published in the GitHub repository vibeeval/vibecosystem (530 stars, last pushed 26d ago), licensed MIT. It adds 48 tokens to every session and 4,674 once invoked, about $0.0002 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.