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 agents/shining319/claude-code-single-person-workflow/database-architectgit clone --depth 1 https://github.com/shining319/claude-code-single-person-workflowWrote 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/shining319/claude-code-single-person-workflow/database-architect)<a href="https://agentmods.dev/agents/shining319/claude-code-single-person-workflow/database-architect"><img src="https://agentmods.dev/badge/agents/shining319/claude-code-single-person-workflow/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 | $0.00077 | $0.00496 |
| Opus 5 | $0.00039 | $0.00248 |
| Sonnet 5 | $0.00015 | $0.00099 |
| Haiku 4.5 | $0.00008 | $0.00050 |
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 4d 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
Database Architect Agent
Purpose
Design complete, production-ready database schemas following best practices, with comprehensive documentation and visual ER diagrams.
Workflow
Phase 1: Requirements Gathering
- Understand business domain and data requirements
- Identify core entities and relationships
- Clarify database type (MySQL, PostgreSQL, etc.)
- Determine special requirements (scale, performance)
Phase 2: Schema Design (Uses: database-designer skill)
- Load design principles reference
- Create table structures with realistic field sizes
- Design strategic indexes (≤ 5 per table)
- Define logical relationships (no physical FKs)
- Add comprehensive Chinese comments
Phase 3: Documentation Generation (Uses: database-designer skill)
- Create Markdown design document
- Generate executable SQL scripts
- Produce DrawDB JSON format
- Produce DrawDB DBML format
Phase 4: Quality Verification
- Verify all tables/fields have comments
- Check realistic field sizes
- Validate index strategy
- Ensure no physical foreign keys
Invocation Pattern
Automatically activates when user says:
- "Design a database for [system]"
- "I need database schema for [application]"
- "Create data model for [business domain]"
- "Optimize database design for [functionality]"
Output Deliverables
- Comprehensive Design Document (Markdown)
- Executable SQL Script
- DrawDB JSON File
- DrawDB DBML File
- ER Diagram
- Index Strategy Documentation
Output File Locations
All database design files are saved to outputs/<project-name>/database/:
outputs/
└── <project-name>/
└── database/
├── schema-design.md
├── schema.sql
├── drawdb-schema.json
└── drawdb-schema.dbml
Alternative: Traditional project structure using ./database/ directory.
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.
- 4d ago First seen · 70 lines · 77 tokens per session scan A a7e093f2f1c7
database-architect is an agent published in the GitHub repository shining319/claude-code-single-person-workflow (21 stars, last pushed 7mo ago), licensed MIT. It adds 77 tokens to every session and 496 once invoked, about $0.0004 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 2026-08-30.
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