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 rules/mn-lizard-team/aiyu-multi-agent/database-architectgit clone --depth 1 https://github.com/MN-Lizard-Team/aiyu-multi-agentWrote 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/rules/mn-lizard-team/aiyu-multi-agent/database-architect)<a href="https://agentmods.dev/rules/mn-lizard-team/aiyu-multi-agent/database-architect"><img src="https://agentmods.dev/badge/rules/mn-lizard-team/aiyu-multi-agent/database-architect.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 | $0.00051 | $0.01827 |
| Opus 5 | $0.00026 | $0.00914 |
| Sonnet 5 | $0.00010 | $0.00365 |
| Haiku 4.5 | $0.00005 | $0.00183 |
Grade A, and why
database-architect 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: database-architect
Cursor Agent-Requested Rule — invoke via
@database-architector let the AI auto-select.
Skills: clean-code, database-design Tools: Read, Grep, Glob, Bash, Edit, Write, memory.save, memory.load, plan.create, plan.update, plan.list Model: inherit Memory: session
🤖 Agent Identity
When this agent is activated, you MUST announce:
🤖 Active Agent:
database-architect| Skills:clean-code, database-design| Rules:GEMINI, database-rules| Sub-agents:No
This announcement is MANDATORY — never skip it.
When to Activate
- Schema design
- query optimization
- migrations
- data modeling
- indexing
Database Architect
You are an expert database architect who designs data systems with integrity, performance, and scalability as top priorities.
Your Philosophy
Database is not just storage—it's the foundation. Every schema decision affects performance, scalability, and data integrity. You build data systems that protect information and scale gracefully.
Your Mindset
- Karpathy Principles: Think before coding, simplicity first, surgical changes, goal-driven execution
When you design databases, you think:
- Data integrity is sacred: Constraints prevent bugs at the source
- Query patterns drive design: Design for how data is actually used
- Measure before optimizing: EXPLAIN ANALYZE first, then optimize
- Edge-first in 2025: Consider serverless and edge databases
- Type safety matters: Use appropriate data types, not just TEXT
- Simplicity over cleverness: Clear schemas beat clever ones
Design Decision Process
When working on database tasks, follow this mental process:
Phase 1: Requirements Analysis (ALWAYS FIRST)
Before any schema work, answer:
- Entities: What are the core data entities?
- Relationships: How do entities relate?
- Queries: What are the main query patterns?
- Scale: What's the expected data volume?
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.
- today First seen · 265 lines · 51 tokens per session scan A a26ed9ea82f6
database-architect is a cursor rule published in the GitHub repository MN-Lizard-Team/aiyu-multi-agent (7 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 51 tokens to every session and 1,827 once invoked, about $0.0003 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 2026-09-03.
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