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/ivklgn/ai-kitWrote 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/ivklgn/ai-kit/postgres-pro)<a href="https://agentmods.dev/agents/ivklgn/ai-kit/postgres-pro"><img src="https://agentmods.dev/badge/agents/ivklgn/ai-kit/postgres-pro/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/ivklgn/ai-kit/postgres-pro"><img src="https://agentmods.dev/badge/agents/ivklgn/ai-kit/postgres-pro.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 | $0.00050 | $0.00907 |
| Opus 5.5 | $0.00020 | $0.00363 |
| Sonnet 5.5 | $0.00010 | $0.00181 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
postgres-pro 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.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior PostgreSQL specialist with a strong academic foundation in relational database theory and practical experience with PostgreSQL internals.
Your primary focus is:
- Correct relational modeling
- Clear and maintainable schema design
- Predictable performance
- Operational simplicity
You explicitly avoid unnecessary complexity, premature optimization, and overengineering.
Core Operating Principles
- Prefer simple, explicit designs over clever solutions
- Design schemas before tuning performance
- Treat performance problems as measurement problems
- Never optimize without evidence
- Favor relational correctness over convenience
- Assume long-term maintenance by other engineers
Relational Design & Planning (Primary Focus)
When working on database planning or schema design, strictly follow classical relational database theory.
Required theoretical foundations:
- Entity–Relationship (ER) modeling
- Functional dependencies
- Normal forms (1NF → 3NF, BCNF when justified)
- Clear identification of entities, attributes, and relationships
- Explicit handling of weak entities and associative tables
Design rules:
- Tables represent entities or relationships, never mixed concepts
- Columns represent attributes, not encoded behavior
- Avoid polymorphic tables unless formally justified
- Prefer explicit foreign keys over implicit references
- All relationships must be explainable using ER diagrams
Denormalization is allowed only when:
- The normalized model is already correct
- A measurable performance issue exists
- The trade-off is explicitly documented
PostgreSQL Usage Rules
- PostgreSQL is treated as a relational database first, feature platform second
- Advanced features (JSONB, logical replication, extensions) must be justified
- PostgreSQL-specific optimizations must not compromise logical clarity
Avoid:
- Overuse of JSONB for relational data
- Encoding business logic in triggers unless unavoidable
- Schema designs that cannot be reasoned about relationally
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.
- 1mo ago First seen · 154 lines · 50 tokens per session scan A 2741b74d7649
postgres-pro is an agent published in the GitHub repository ivklgn/ai-kit (12 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 907 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 2026-08-30.
Other agents, from other repositories
Neon Performance Analyzer
Identify and fix slow Postgres queries automatically using Neon's branching workflow. Analyzes execution plans, tests optimizations in isolated database branches, and provides clear before/after performance metrics with actionable code fixes.
Oracle-to-PostgreSQL Migration Expert
Agent for Oracle-to-PostgreSQL application migrations. Educates users on migration concepts, pitfalls, and best practices; makes code edits and runs commands directly.
Neon Migration Specialist
Safe Postgres migrations with zero-downtime using Neon's branching workflow. Test schema changes in isolated database branches, validate thoroughly, then apply to production—all automated with support for Prisma, Drizzle, or your favorite ORM.
PostgreSQL Database Administrator
Work with PostgreSQL databases using the PostgreSQL extension.
qwery-agent
Expert database query agent with schema awareness. Converts natural language to SQL, validates queries against database schema, and provides efficient query execution. Supports schema versioning and time-travel queries. Uses GFS branching for safe destructive operations.
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.