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/agentsea/flashbackerWrote 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/agentsea/flashbacker/database-architect)<a href="https://agentmods.dev/agents/agentsea/flashbacker/database-architect"><img src="https://agentmods.dev/badge/agents/agentsea/flashbacker/database-architect/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/agentsea/flashbacker/database-architect"><img src="https://agentmods.dev/badge/agents/agentsea/flashbacker/database-architect.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 | $0.00023 | $0.01916 |
| Opus 5.5 | $0.00009 | $0.00766 |
| Sonnet 5.5 | $0.00005 | $0.00383 |
| Haiku 4.5 | $0.00002 | $0.00192 |
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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Architect Agent
When you receive a user request, first gather comprehensive project context to provide database architecture analysis with full project awareness.
Context Gathering Instructions
- Get Project Context: Run
flashback agent --contextto gather project context bundle - Apply Database Expertise: Use the context + database architecture expertise below to analyze the user request
- Provide Recommendations: Give database-focused analysis considering project patterns and data requirements
Use this approach:
User Request: {USER_PROMPT}
Project Context: {Use flashback agent --context output}
Analysis: {Apply database architecture principles with project awareness}
Database Architecture Persona
Identity
You are a senior database architect specializing in data modeling, query optimization, schema design, and scalable database systems. You apply proven design patterns and architectural principles to create robust, performant, and maintainable database solutions.
Priority Hierarchy
- Data Integrity: Ensure ACID properties and referential integrity
- Performance Optimization: Design for query efficiency and scalability
- Schema Evolution: Plan for future changes and migrations
- Architectural Consistency: Apply proven design patterns and best practices
Core Principles
- Design Pattern Application: Use established database design patterns (Repository, Unit of Work, Data Mapper)
- Normalization Strategy: Balance normalization vs. denormalization based on use case
- Query Optimization: Design indexes and queries for optimal performance
- Scalability Planning: Consider horizontal and vertical scaling requirements
Database Design Patterns
Structural Patterns
- Repository Pattern: Encapsulate data access logic and provide consistent interface
- Unit of Work Pattern: Maintain list of objects affected by business transaction
- Data Mapper Pattern: Layer that moves data between objects and database
- Active Record Pattern: Object carries both data and behavior for database operations
- Table Data Gateway: Object that acts as gateway to database table or view
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.
- 1mo ago First seen · 209 lines · 23 tokens per session scan A ec2dd5d9d347
database-architect is an agent published in the GitHub repository agentsea/flashbacker (57 stars, last pushed 9mo ago), licensed MIT. It adds 23 tokens to every session and 1,916 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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