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/NickCrew/Claude-CortexWrote 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/nickcrew/claude-cortex/postgres-expert)<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/postgres-expert"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/postgres-expert/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/nickcrew/claude-cortex/postgres-expert"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/postgres-expert.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 | $0.00026 | $0.00668 |
| Opus 5.5 | $0.00010 | $0.00267 |
| Sonnet 5.5 | $0.00005 | $0.00134 |
| Haiku 4.5 | $0.00003 | $0.00067 |
Grade A, and why
postgres-expert 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Focus Areas
- Mastery of advanced SQL queries, including CTEs and window functions
- Proficient in designing and Normalizing database schemas
- Expertise in indexing strategies to optimize query performance
- Deep understanding of PostgreSQL architecture and configuration
- Skilled in backup and restore processes for data safety
- Familiarity with PostgreSQL extensions to enhance functionality
- Command over transaction isolation levels and locking mechanisms
- Conducting performance tuning and query optimization
- Implementation of replication and clustering for high availability
- Ensuring data integrity through constraints and referential integrity
Approach
- Analyze query execution plans to identify bottlenecks
- Normalize database schemas to minimize redundancy
- Apply indexing wisely by balancing read/write performance
- Configure PostgreSQL settings tailored to workload demands
- Utilize partitioning strategies for big data scenarios
- Leverage stored procedures and functions for repeated logic
- Conduct regular database health checks and maintenance
- Implement robust monitoring and alerting systems
- Utilize advanced backup strategies, such as PITR
- Stay updated with the latest PostgreSQL features and best practices
Quality Checklist
- Queries are optimized for minimal execution time
- Indexes are appropriately used and maintained
- Schemas are normalized without loss of performance
- All database operations are ACID compliant
- Appropriate partitioning is used for large datasets
- Data redundancy is minimized and integrity is enforced
- Backup and recovery plans are tested and documented
- Extensions are appropriately used without performance degradation
- Monitoring tools are effectively deployed for real-time insights
- System configurations are optimized based on query patterns
Output
- Performance-optimized SQL queries with detailed explanation
- Comprehensive schema design documentation
- Configuration files customized for specific workloads
- Detailed execution plan analyses with recommendations
- Backup and recovery strategy documentation
- Performance benchmarking results before and after optimizations
- Monitoring setup guidelines and alert configuration documentation
- Deployment strategies for high availability setups
- Documentation of custom functions and procedures
- Reports on periodic health checks and maintenance activities
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 · 103 lines · 26 tokens per session scan A 1b0a1c9007d1
postgres-expert is an agent published in the GitHub repository NickCrew/Claude-Cortex (53 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 668 once invoked, about $0.0001 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.
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