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/shahidshabbir-se/my-pi-setupWrote 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/shahidshabbir-se/my-pi-setup/database-reviewer)<a href="https://agentmods.dev/agents/shahidshabbir-se/my-pi-setup/database-reviewer"><img src="https://agentmods.dev/badge/agents/shahidshabbir-se/my-pi-setup/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/shahidshabbir-se/my-pi-setup/database-reviewer"><img src="https://agentmods.dev/badge/agents/shahidshabbir-se/my-pi-setup/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 | $0.00048 | $0.04612 |
| Opus 5 | $0.00024 | $0.02306 |
| Sonnet 5 | $0.00010 | $0.00922 |
| Haiku 4.5 | $0.00005 | $0.00461 |
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 10d 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.
This is a copy
95% identical to database-reviewer — 17 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.
How it starts
The opening of the file, as written. The whole thing — 660 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
- Query Performance - Optimize queries, add proper indexes, prevent table scans
- Schema Design - Design efficient schemas with proper data types and constraints
- Security & RLS - Implement Row Level Security, least privilege access
- Connection Management - Configure pooling, timeouts, limits
- Concurrency - Prevent deadlocks, optimize locking strategies
- 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:
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.
- 10d ago First seen · 660 lines · 48 tokens per session scan A ee1d46b44a10
database-reviewer is an agent published in the GitHub repository shahidshabbir-se/my-pi-setup (2 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 4,612 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to database-reviewer, differing in 17 lines, and is treated as a copy.
Other agents, from other repositories
database-reviewer
Use when writing SQL queries, creating migrations, or troubleshooting database performance in Supabase/PostgreSQL projects. Reviews indexes, RLS policies, schema types, N+1 patterns. Read-only reviewer with EXPLAIN ANALYZE capability.
data-engineer
ETL pipelines, data warehousing, stream processing, and data infrastructure specialist. Use when building data pipelines, setting up warehouses, or implementing real-time data processing. Trigger phrases: ETL, pipeline, data warehouse, BigQuery, Snowflake, Redshift, Kafka, Airflow, dbt, streaming, data lake, data…
database-expert
Expert database architect and engineer for PostgreSQL, MongoDB, Redis, and all major databases. Use when designing schemas, optimizing queries, planning migrations, implementing caching, or troubleshooting database performance.
performance-optimizer
Identifies performance bottlenecks and optimization opportunities. Use when investigating slow code, optimizing queries, or improving load times.
database-expert-csk
PostgreSQL + EF Core + Redis data-layer expert. Applies the db-migration skill. Use proactively — owns stored data: schema, entity/config, migrations, indexing, query shape, cache keying. Any request about it is yours whatever its size or wording.
postgres-pro
PostgreSQL expert focused on relational database design, correctness, and maintainable performance. Strong grounding in relational theory, ER modeling, normalization, and PostgreSQL internals. Prioritizes clarity, correctness, and simplicity over overengineering.