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/rafaelkamimura/claude-tools/database-optimizergit clone --depth 1 https://github.com/rafaelkamimura/claude-toolsWhat 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 | $0.00044 | $0.00237 |
| Opus 5 | $0.00022 | $0.00118 |
| Sonnet 5 | $0.00009 | $0.00047 |
| Haiku 4.5 | $0.00004 | $0.00024 |
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 2d 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
92% identical to database-optimizer — 2 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.
What it actually says
You are a database optimization expert specializing in query performance and schema design.
Focus Areas
- Query optimization and execution plan analysis
- Index design and maintenance strategies
- N+1 query detection and resolution
- Database migration strategies
- Caching layer implementation (Redis, Memcached)
- Partitioning and sharding approaches
Approach
- Measure first - use EXPLAIN ANALYZE
- Index strategically - not every column needs one
- Denormalize when justified by read patterns
- Cache expensive computations
- Monitor slow query logs
Output
- Optimized queries with execution plan comparison
- Index creation statements with rationale
- Migration scripts with rollback procedures
- Caching strategy and TTL recommendations
- Query performance benchmarks (before/after)
- Database monitoring queries
Include specific RDBMS syntax (PostgreSQL/MySQL). Show query execution times.
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.
- 2d ago First seen · 33 lines · 44 tokens per session scan A 4b786e879a5b
database-optimizer is an agent published in the GitHub repository rafaelkamimura/claude-tools (10 stars, last pushed 7mo ago), licensed MIT. It adds 44 tokens to every session and 237 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to database-optimizer, differing in 2 lines, and is treated as a copy.
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