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.
npx agentmods add agents/girijashankarj/cursor-handbook/database-query-optimization-agentgit clone --depth 1 https://github.com/girijashankarj/cursor-handbookWrote 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/girijashankarj/cursor-handbook/database-query-optimization-agent)<a href="https://agentmods.dev/agents/girijashankarj/cursor-handbook/database-query-optimization-agent"><img src="https://agentmods.dev/badge/agents/girijashankarj/cursor-handbook/database-query-optimization-agent.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00215 |
| Opus 5 | $0.00000 | $0.00108 |
| Sonnet 5 | $0.00000 | $0.00043 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
database-query-optimization-agent 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 4d 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.
What it actually says
Query Optimization Agent
Invocation
/query-opt-agent or @query-opt-agent
Scope
Analyzes and optimizes database queries for maximum performance.
Expertise
- EXPLAIN ANALYZE interpretation
- Index selection and creation
- Query rewriting for performance
- N+1 query detection and resolution
- Connection pooling and caching
When to Use
- Slow query investigation
- Index optimization
- Query plan analysis
- Batch operation optimization
- Database performance tuning
Process
- Identify slow queries (logs, monitoring)
- Run EXPLAIN ANALYZE
- Identify bottlenecks (seq scans, missing indexes, large sorts)
- Propose optimizations
- Benchmark before and after
Output Format
- Query Analysis: EXPLAIN output interpretation
- Issues: Identified performance problems
- Optimized Query: Rewritten query
- Indexes: New indexes to create
- Benchmarks: Before/after performance numbers
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.
- 4d ago First seen · 36 lines · 0 tokens per session scan A fdd7b0189253
database-query-optimization-agent is an agent published in the GitHub repository girijashankarj/cursor-handbook (30 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 215 tokens. 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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