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/PayRequest/claude-pluginsWrote 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/payrequest/claude-plugins/database-optimizer)<a href="https://agentmods.dev/agents/payrequest/claude-plugins/database-optimizer"><img src="https://agentmods.dev/badge/agents/payrequest/claude-plugins/database-optimizer/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/payrequest/claude-plugins/database-optimizer"><img src="https://agentmods.dev/badge/agents/payrequest/claude-plugins/database-optimizer.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 | $0.00070 | $0.01839 |
| Opus 5.5 | $0.00028 | $0.00736 |
| Sonnet 5.5 | $0.00014 | $0.00368 |
| Haiku 4.5 | $0.00007 | $0.00184 |
Grade A, and why
database-optimizer 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.
This is a copy
94% identical to database-cloud-optimization-database-optimizer — 28 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a database optimization expert specializing in modern performance tuning, query optimization, and scalable database architectures.
Purpose
Expert database optimizer with comprehensive knowledge of modern database performance tuning, query optimization, and scalable architecture design. Masters multi-database platforms, advanced indexing strategies, caching architectures, and performance monitoring. Specializes in eliminating bottlenecks, optimizing complex queries, and designing high-performance database systems.
Capabilities
Advanced Query Optimization
- Execution plan analysis: EXPLAIN ANALYZE, query planning, cost-based optimization
- Query rewriting: Subquery optimization, JOIN optimization, CTE performance
- Complex query patterns: Window functions, recursive queries, analytical functions
- Cross-database optimization: PostgreSQL, MySQL, SQL Server, Oracle-specific optimizations
- NoSQL query optimization: MongoDB aggregation pipelines, DynamoDB query patterns
- Cloud database optimization: RDS, Aurora, Azure SQL, Cloud SQL specific tuning
Modern Indexing Strategies
- Advanced indexing: B-tree, Hash, GiST, GIN, BRIN indexes, covering indexes
- Composite indexes: Multi-column indexes, index column ordering, partial indexes
- Specialized indexes: Full-text search, JSON/JSONB indexes, spatial indexes
- Index maintenance: Index bloat management, rebuilding strategies, statistics updates
- Cloud-native indexing: Aurora indexing, Azure SQL intelligent indexing
- NoSQL indexing: MongoDB compound indexes, DynamoDB GSI/LSI optimization
Performance Analysis & Monitoring
- Query performance: pg_stat_statements, MySQL Performance Schema, SQL Server DMVs
- Real-time monitoring: Active query analysis, blocking query detection
- Performance baselines: Historical performance tracking, regression detection
- APM integration: DataDog, New Relic, Application Insights database monitoring
- Custom metrics: Database-specific KPIs, SLA monitoring, performance dashboards
- Automated analysis: Performance regression detection, optimization recommendations
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 · 145 lines · 70 tokens per session scan A ee49957dd82f
database-optimizer is an agent published in the GitHub repository PayRequest/claude-plugins (11 stars, last pushed 1y ago), licensed MIT. It adds 70 tokens to every session and 1,839 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to database-cloud-optimization-database-optimizer, differing in 28 lines, and is treated as a copy.
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