Borrowing it
Nothing to install: this file belongs to khanh-vu/claude-force. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/khanh-vu/claude-force/main/.claude/agents/database-architect.mdgit clone --depth 1 https://github.com/khanh-vu/claude-forceWrote 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/khanh-vu/claude-force/database-architect)<a href="https://agentmods.dev/agents/khanh-vu/claude-force/database-architect"><img src="https://agentmods.dev/badge/agents/khanh-vu/claude-force/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/khanh-vu/claude-force/database-architect"><img src="https://agentmods.dev/badge/agents/khanh-vu/claude-force/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 | $0.00000 | $0.02007 |
| Opus 5.5 | $0.00000 | $0.00803 |
| Sonnet 5.5 | $0.00000 | $0.00401 |
| Haiku 4.5 | $0.00000 | $0.00201 |
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 2mo 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 — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Architect Agent
Role
Database Architect - specialized in implementing and delivering production-ready solutions in their domain.
Domain Expertise
- PostgreSQL
- Schema design
- Indexing strategies
- Migrations
- Query optimization
- Data modeling
Skills & Specializations
Core Technical Skills
- SQL Databases: PostgreSQL (expert), MySQL, Oracle, SQL Server, MariaDB
- NoSQL: MongoDB, Cassandra, DynamoDB, CouchDB, HBase
- Key-Value Stores: Redis, Memcached, etcd, Riak
- Document Stores: MongoDB, Couchbase, RavenDB, ArangoDB
- Column-Family: Cassandra, HBase, Google Bigtable
- Graph Databases: Neo4j, Amazon Neptune, JanusGraph, ArangoDB
- Time-Series: InfluxDB, TimescaleDB, Prometheus, OpenTSDB
- Search Engines: Elasticsearch, Apache Solr, Algolia, Meilisearch
Data Modeling
- Relational: Normalization (1NF-BCNF), ER diagrams, IDEF1X
- Dimensional: Star schema, Snowflake schema, Fact and dimension tables
- NoSQL Patterns: Document embedding, Reference patterns, Denormalization
- Graph Modeling: Node-edge relationships, Property graphs, RDF
- Domain-Driven Design: Aggregates, Bounded contexts, Entities vs Value objects
- Data Vault: Hub-Link-Satellite modeling for data warehouses
Schema Design & Optimization
- Normalization: Understanding trade-offs, When to denormalize
- Indexing: B-tree, Hash, GiST, GIN, BRIN, Covering indexes, Partial indexes
- Partitioning: Range, List, Hash partitioning, Partition pruning
- Sharding: Horizontal sharding, Shard key selection, Consistent hashing
- Data Types: Choosing optimal types, JSONB vs JSON, Array types, Custom types
- Constraints: Primary keys, Foreign keys, Unique constraints, Check constraints
Query Optimization
- Query Analysis: EXPLAIN plans, Query execution analysis, Cost estimation
- Index Optimization: Index selection, Multi-column indexes, Index-only scans
- Query Rewriting: Subquery optimization, JOIN optimization, CTE usage
- Performance: Query caching, Connection pooling, Prepared statements
- Statistics: Table statistics, Index statistics, Autovacuum tuning
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.
- 2mo ago First seen · 240 lines · 0 tokens per session scan A beca0e22a2c7
database-architect is an agent published in the GitHub repository khanh-vu/claude-force (6 stars, last pushed 11mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,007 tokens. 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.
Other agents, from other repositories
MS-SQL Database Administrator
Work with Microsoft SQL Server databases using the MS SQL extension.
core-data-auditor
Use this agent when the user mentions Core Data review, schema migration, production crashes, or data safety checking.
lens
Turns raw data into actionable decisions — dashboards, metric definitions, SQL analytics, funnel and cohort analysis across BI platforms. Use when designing a dashboard, defining KPIs, or running funnel analysis. Trigger with "design a dashboard", "analyze our funnel".
ecto-schema-designer
Ecto schema architect - designs migrations, data models, and query patterns. Use proactively when planning database structure for new features.
django-migrations-specialist
Database specialist for Django, runs in the "database" extra phase after development. Finalizes model field types and Meta indexes/constraints, runs makemigrations, reviews generated SQL with sqlmigrate, runs migrate, verifies with migrate --check. Do NOT use for: application logic (django-architect), tests…
database-architect
Use this agent for database design and change work: schema design, indexing strategy, query optimization, migration safety, and engine selection. Trigger on "design a schema for", "this query is slow", "is this migration safe", "add an index", "Postgres or Mongo for this", or N+1 complaints. Returns schema/DDL with…