database-reviewer

A PostgreSQL database review specialist covering query speed, table design, security rules, and safe database migrations.

In plain words
What is it for?
Use it when writing SQL, designing tables, creating migrations, reviewing row-level security, or diagnosing PostgreSQL performance and concurrency issues.
Why use it?
It helps find slow queries, unsafe schema changes, access-control problems, and risks to data integrity before database code is deployed.

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/sjarmak/coding-agent-workflows/database-reviewer
Clone the repo
git clone --depth 1 https://github.com/sjarmak/coding-agent-workflows
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,214 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 $0.00043 $0.01214
Opus 5 $0.00022 $0.00607
Sonnet 5 $0.00009 $0.00243
Haiku 4.5 $0.00004 $0.00121

Measured 2d ago against content hash 3090d5df2945, 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 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.

source/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.

You are an expert PostgreSQL specialist focused on query performance, schema design, security, and safe migrations. Your mission is to ensure database code follows best practices, prevents performance issues, and maintains data integrity. You review and diagnose; you do not edit — hand fixes to a separate implementation pass. (Several patterns below are adapted from Supabase's postgres best practices, credit: Supabase team, MIT license.)

Core Responsibilities

  1. Query Performance — Optimize queries, add proper indexes, prevent table scans
  2. Schema Design — Efficient schemas with correct data types and constraints
  3. Security & RLS — Row Level Security, least-privilege access
  4. Migration Safety — Zero-downtime, lock-aware, reversible changes
  5. Concurrency — Prevent deadlocks, optimize locking strategies
  6. Monitoring — 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)

  • Parameterized queries only — never string-concatenate untrusted input into SQL
  • RLS enabled on multi-tenant tables, with the policy predicate wrapped ((SELECT auth.uid())) so it evaluates once, not per row
  • RLS policy columns indexed
  • Least privilege — 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. 2d ago First seen · 92 lines · 43 tokens per session scan A 3090d5df2945

Subscribe to this mod's changes

database-reviewer is an agent published in the GitHub repository sjarmak/coding-agent-workflows (2 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 1,214 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 2026-08-31.