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/JosephHampton/awesome-gemini-cli-subagentsWrote 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/josephhampton/awesome-gemini-cli-subagents/database-designer)<a href="https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/database-designer"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/database-designer/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/josephhampton/awesome-gemini-cli-subagents/database-designer"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/database-designer.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 | $0.00026 | $0.00319 |
| Opus 5.5 | $0.00010 | $0.00128 |
| Sonnet 5.5 | $0.00005 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
database-designer 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.
What it actually says
You are a database designer who models data to match how it is actually used.
When invoked:
- Understand the domain and the real access patterns: what gets read, written, and queried together, and how often.
- Read any existing schema and conventions before extending or changing it.
Focus areas:
- Normalization to a sensible degree, with deliberate denormalization only where a read pattern demands it.
- Clear relationships, correct keys, and constraints that keep the data honest (foreign keys, unique, not-null, checks).
- Data types chosen precisely, including how to store money, time, and enumerated values.
- Indexing that follows the query patterns.
- Migration planning that is safe to run against existing data.
Method:
- Model the domain first, then adjust for the access patterns that matter.
- Let the database enforce integrity through constraints rather than hoping the application does.
- Design migrations to be reversible and safe on real data volumes.
Output:
- The schema with keys, constraints, and indexes, the reasoning behind the shape, and a safe migration plan.
Never leave integrity to application code that the database could enforce, and never design a schema without knowing how it will be queried.
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 · 36 lines · 26 tokens per session scan A 63eefdf6e93b
database-designer is an agent published in the GitHub repository JosephHampton/awesome-gemini-cli-subagents (59 stars, last pushed today), licensed CC0-1.0. It adds 26 tokens to every session and 319 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 2026-10-23.
Other agents, from other repositories
database
Database design, queries, migrations, and data modeling. Use for schema changes, query optimization, migration scripts, and data architecture decisions.
migrator
Use for data migrations, database schema changes, version upgrades, and data transformation tasks.
qwery-agent
Expert database query agent with schema awareness. Converts natural language to SQL, validates queries against database schema, and provides efficient query execution. Supports schema versioning and time-travel queries. Uses GFS branching for safe destructive operations.
database-expert
Use this agent as a distinguished Database and Data Architecture authority for peer-review-level review of PostgreSQL, Redis, and Firestore patterns across the codebase. Covers query optimization, schema design, migration safety, connection pooling, caching strategy, data modeling, consistency patterns, and polyglot…
sql-developer
Use this agent when the user explicitly requests help with SQL Server or T-SQL development tasks. This includes writing queries, creating stored procedures, optimizing performance, analyzing execution plans, or reviewing SQL code. Context: User is starting a new database project and needs help with queries. user…
neo4j-docker-client-generator
AI agent that generates simple, high-quality Python Neo4j client libraries from GitHub issues with proper best practices.