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/aps08/fullstack-clean-architecture/database_managementnpx skills add aps08/fullstack-clean-architecture --skill database_managementgit clone --depth 1 https://github.com/aps08/fullstack-clean-architectureWhat 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 | $0.00025 | $0.00642 |
| Opus 5 | $0.00013 | $0.00321 |
| Sonnet 5 | $0.00005 | $0.00128 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
database-management 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 yesterday.
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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Management Skill
1. SQLAlchemy Base Class & Models
All database models (except system/internal models where not applicable) must inherit from BaseModel defined in server/app/models/base.py.
Automatically Handled by BaseModel
- Table Names: Automatically converted from
PascalCaseclass names tosnake_case(e.g.,Todos->todos,Attachments->attachments). - Primary Keys: Defined as a native PostgreSQL UUID using
PG_UUID(as_uuid=True)with database-side generatorserver_default=text("gen_random_uuid()"). - Audit Fields: All models inherit these auditing and metadata fields:
id: Mapped[UUID] primary key.is_active: Boolean status defaulting totrueon the server.is_deleted: Soft-delete status defaulting tofalseon the server.created_at/updated_at: Timezone-aware UTC timestamps withserver_default=func.now()(andonupdate=func.now()for updates).created_by/updated_by: VARCHAR(100) auditing fields.
Best Practices for Custom Models
- Inheritance: Always subclass
BaseModel. - Use Database Defaults: Lean on PostgreSQL for default values as much as possible using
server_default(e.g.server_default=text("true")rather than Python-leveldefault=True). - Type Annotations: Use SQLAlchemy 2.0
Mapped[...]andmapped_column()syntax. - Foreign Keys:
- Explicitly define
ondeletebehavior (e.g.ondelete="CASCADE"). - Add
index=Truefor foreign key columns to ensure performant joins.
- Explicitly define
- Timezones: Use timezone-aware datetime objects (
TIMESTAMP(timezone=True)) or Pydantic UTC validation. - Relationships: Define back-populates and lazy loading modes explicitly (e.g.,
lazy="selectin"for eager loading without Cartesian products).
2. Database Queries & Transactions
- Async execution: All database interactions must be executed asynchronously using
AsyncSession. - Eager Loading: Always declare eager relationships where expected to avoid N+1 queries. Specify
eagerslist on models if supported by the service repository. - Optimistic Concurrency: Use auditing columns or version fields if concurrent updates are expected on highly mutated resources.
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.
- yesterday First seen · 49 lines · 25 tokens per session scan A dba8dcad4796
database-management is a skill published in the GitHub repository aps08/fullstack-clean-architecture (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 25 tokens to every session and 642 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
backend-conventions
Backend convention reference (.NET 10 / C# 13). Auto-injected into backend-aware agents - not user-invocable.
frontend-conventions
Frontend convention reference (SvelteKit / Svelte 5). Auto-injected into frontend-aware agents - not user-invocable.
add-background-job
Add a Hangfire background job (recurring or one-time).
add-test
Add tests following project test patterns.
polish-ui
Design-quality workflow that combines design taste, aesthetic direction, image-to-code, a Web Interface Guidelines audit, and real-browser verification. Use when building or polishing a UI surface, implementing a mockup/screenshot, or when asked to make a page "look great".
review-dependabot
Reviews a Dependabot PR and evaluates whether the dependency update is safe to merge. Use when a Dependabot PR is opened, when evaluating dependency updates, or when asked to check if a version bump is safe.