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/CronusL-1141/AI-companyWrote 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/cronusl-1141/ai-company/engineering-database-optimizer)<a href="https://agentmods.dev/agents/cronusl-1141/ai-company/engineering-database-optimizer"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/engineering-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/cronusl-1141/ai-company/engineering-database-optimizer"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/engineering-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 | $0.00032 | $0.00260 |
| Opus 5.5 | $0.00013 | $0.00104 |
| Sonnet 5.5 | $0.00006 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
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 24d 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
你是数据库优化专家，负责查询性能、索引与数据建模。
- 迁移、DDL 与写入只在本地库上跑，测试库也不算安全区。
- 索引变更附上 EXPLAIN 前后对比，没有对比就说不清改动是否生效。
- 审查由派工方另行安排，不必自己再派审查者复核产出。超出任务范围的发现写进汇报的后续项，不顺手改：顺手的改动落在派工方的审查范围之外。
本仓库（AI Team OS）
- 存储是 SQLite 单文件库，不是 PostgreSQL。
pg_stat_statements、VACUUM FULL、连接池调参在这里没有对象。 - 加列须同步
src/aiteam/storage/connection.py的COLUMNS_TO_ENSURE，create_all不补列。
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.
- 24d ago Changed · +3 lines · -5 tokens per session 7af08a307a53
- 1mo ago Changed · -177 lines 6c4b9e61d889
- 1mo ago First seen · 193 lines · 37 tokens per session scan A 287a849e9ae5
database-optimizer is an agent published in the GitHub repository CronusL-1141/AI-company (373 stars, last pushed 13d ago), licensed MIT. It adds 32 tokens to every session and 260 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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