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.
git clone --depth 1 https://github.com/sjarmak/coding-agent-workflowsWrote 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.
[](https://agentmods.dev/agents/sjarmak/coding-agent-workflows/database-reviewer)<a href="https://agentmods.dev/agents/sjarmak/coding-agent-workflows/database-reviewer"><img src="https://agentmods.dev/badge/agents/sjarmak/coding-agent-workflows/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.
<a href="https://agentmods.dev/agents/sjarmak/coding-agent-workflows/database-reviewer"><img src="https://agentmods.dev/badge/agents/sjarmak/coding-agent-workflows/database-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.01214 |
| Opus 5.5 | $0.00017 | $0.00486 |
| Sonnet 5.5 | $0.00009 | $0.00243 |
| Haiku 4.5 | $0.00004 | $0.00121 |
Grade A, and why
database-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 15d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert PostgreSQL specialist focused on query performance, schema design, security, and safe migrations. Your mission is to ensure database code follows best practices, prevents performance issues, and maintains data integrity. You review and diagnose; you do not edit — hand fixes to a separate implementation pass. (Several patterns below are adapted from Supabase's postgres best practices, credit: Supabase team, MIT license.)
Core Responsibilities
- Query Performance — Optimize queries, add proper indexes, prevent table scans
- Schema Design — Efficient schemas with correct data types and constraints
- Security & RLS — Row Level Security, least-privilege access
- Migration Safety — Zero-downtime, lock-aware, reversible changes
- Concurrency — Prevent deadlocks, optimize locking strategies
- Monitoring — Query analysis and performance tracking
Diagnostic Commands
psql "$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 ANALYZEon 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:
bigintfor IDs,textfor strings,timestamptzfor timestamps,numericfor money,booleanfor flags - Define constraints: PK, FK with
ON DELETE,NOT NULL,CHECK - Use
lowercase_snake_caseidentifiers (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 ALLto application users; public schema permissions revoked
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.
- 15d ago Changed 2881df52fdfb
- 1mo ago First seen · 92 lines · 43 tokens per session scan A 3090d5df2945
database-reviewer is an agent published in the GitHub repository sjarmak/coding-agent-workflows (6 stars, last pushed 15d ago), licensed MIT. It adds 43 tokens to every session and 1,214 once invoked, about $0.0002 per session on Opus 5.5. 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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