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 skills/systemowiec/ai-agents-workspace-starter/database-patternsnpx skills add systemowiec/ai-agents-workspace-starter --skill database-patternsgit clone --depth 1 https://github.com/systemowiec/ai-agents-workspace-starterWrote 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/skills/systemowiec/ai-agents-workspace-starter/database-patterns)<a href="https://agentmods.dev/skills/systemowiec/ai-agents-workspace-starter/database-patterns"><img src="https://agentmods.dev/badge/skills/systemowiec/ai-agents-workspace-starter/database-patterns.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 | $0.00018 | $0.00755 |
| Opus 5 | $0.00009 | $0.00378 |
| Sonnet 5 | $0.00004 | $0.00151 |
| Haiku 4.5 | $0.00002 | $0.00076 |
Grade A, and why
database-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Database Patterns
Database access patterns. Read when working with models, repositories, migrations.
Stack
- MariaDB 11+ (MySQL-compatible)
- SQLAlchemy 2.x async (asyncmy driver)
- Alembic for migrations
- Container:
infra/docker-compose.yml-> servicemariadb
Connection
- Env var:
DATABASE_URL=mysql+asyncmy://${DB_USER}:${DB_PASSWORD}@mariadb:3306/${DB_NAME} - Inside Docker use hostname
mariadb(service name), NOTlocalhost.
Repository Pattern (Hexagonal)
The database is an adapter. Never import SQLAlchemy in the domain/application layer.
domain/
ports.py -> ABC interfaces (UserRepository, OrderRepository)
entities.py -> Pure Python classes (dataclass, no ORM)
application/
services.py -> Uses ports (DI), unaware of SQLAlchemy
infrastructure/
adapters/
db/
models.py -> SQLAlchemy ORM models (Base, User, Order)
repositories.py -> Port implementations (SQLAlchemy queries)
session.py -> AsyncSession factory
Port (interface)
- File:
domain/ports.py - ABC class with
@abstractmethodasync methods (e.g.get_by_id,save,list_active) - Return domain entities, not ORM models
Adapter (implementation)
- File:
infrastructure/adapters/db/repositories.py - Accept
AsyncSessionin__init__ - Use
session.get()+.to_entity()for retrieval - Use
session.add()+session.flush()for persistence (NOTsession.commit()- let session factory handle commit)
ORM Model
- File:
infrastructure/adapters/db/models.py - Inherit from
DeclarativeBase - Implement
to_entity()instance method andfrom_entity()classmethod for domain entity conversion - Use
Columnwith explicit types, indexes, and constraints
Session Factory
- File:
infrastructure/adapters/db/session.py create_async_engine+async_sessionmakerwithexpire_on_commit=False- Wrap in
async with session.begin():to auto-commit/rollback - Use as FastAPI dependency via
Depends(get_session)
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.
- 5d ago First seen · 96 lines · 18 tokens per session scan A 854d09084a22
database-patterns is a skill published in the GitHub repository systemowiec/ai-agents-workspace-starter (2 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 755 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
schema-exploration
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.
debugging
How to debug tursodb using Bytecode comparison, logging, ThreadSanitizer, deterministic simulation, and corruption analysis tools.
sdk-design
Doctrine for designing and evolving any SDK Grida ships — TypeScript, Rust, or otherwise. "SDK" here means a surface that crosses a foreign-or-foreign-treated boundary: published packages, separately-versioned consumers, FFI bindings, public-by-design modules. An SDK's job is to refuse; a strict, honest surface…
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
supabase
Supabase / PostgREST Row-Level-Security playbook — pull the anon (or leaked servicerole) key out of the frontend JS, map tables from the auto-generated OpenAPI spec, test anonymous RLS READ disclosures (PII/secret leaks), and anonymous RLS WRITE abuse (insert/update/delete — e.g. forging…
nornicdb-cypher-queries
Pick fast, predictable Cypher query shapes in NornicDB — point lookups, batch retrieval, pagination, search, traversal, batched UNWIND/MERGE writes, cleanup, multi-tenant isolation. Use when writing or reviewing Cypher whose latency or throughput matters; maps user intent to the executor's hot-path query templates.