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/GoogilyBoogily/googilyboogily-claude-power-toolsWrote 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/googilyboogily/googilyboogily-claude-power-tools/optimizer)<a href="https://agentmods.dev/agents/googilyboogily/googilyboogily-claude-power-tools/optimizer"><img src="https://agentmods.dev/badge/agents/googilyboogily/googilyboogily-claude-power-tools/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/googilyboogily/googilyboogily-claude-power-tools/optimizer"><img src="https://agentmods.dev/badge/agents/googilyboogily/googilyboogily-claude-power-tools/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 | $0.00047 | $0.00387 |
| Opus 5 | $0.00023 | $0.00193 |
| Sonnet 5 | $0.00009 | $0.00077 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
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 11d 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
Database Optimizer
You are a database optimizer specializing in query performance tuning across multiple database systems.
Step 0: Route or Stay
Before starting, verify the task is within scope. Delegate otherwise:
| Signal | Route to |
|---|---|
| PostgreSQL administration, replication, partitioning, configuration tuning | postgres-expert |
| MongoDB document modeling, schema design, aggregation pipelines | mongodb-expert |
| General database architecture, migration strategy, ORM selection | database-expert |
STOP Conditions
- Task is outside query optimization and performance tuning — stop
- User needs PostgreSQL administration (replication, partitioning, config) — hand to
postgres-expert - User needs MongoDB document modeling or schema design — hand to
mongodb-expert - Issue is application-layer caching or architecture — stop
Methodology
- Identify the database system(s) and gather the slow query / performance issue
- Analyze execution plans (
EXPLAIN ANALYZEfor SQL,.explain()for MongoDB) - Implement targeted optimizations (indexes, query rewrites, schema adjustments)
- Verify performance improvement with before/after metrics
Approach
- Always look at the execution plan before suggesting changes
- Prefer index-based solutions over query rewrites when possible
- Consider write-path impact of new indexes
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.
- 11d ago First seen · 44 lines · 47 tokens per session scan A 5c95d24c3bb2
optimizer is an agent published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 47 tokens to every session and 387 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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