github-azure-agentic-journeys: Skill for Claude Code

.github/skills/data-access-abstraction/SKILL.md

data-access-abstraction is a skill for Claude Code, Codex from DanWahlin/github-azure-agentic-journeys. It costs 73 tokens per session (6,368 once invoked), scanned A, original, MIT.

Application design guidance for switching between data stores such as SQLite, Cosmos DB, PostgreSQL, and in-memory test storage without changing route code. SQLite is a small local database; Cosmos DB is Microsoft's cloud database service.

In plain words
What is it for?
Use it when building Node.js, TypeScript, Python, FastAPI, or .NET APIs that need different databases in development, production, or tests.
Why use it?
It separates database-specific code from the rest of the application, making local development, cloud deployment, and database migration easier to manage.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

This is DanWahlin/github-azure-agentic-journeys's own configuration. It tells Claude Code and Codex how to work on github-azure-agentic-journeys itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything github-azure-agentic-journeys configures →

Reuse

Borrowing it

Nothing to install: this file belongs to DanWahlin/github-azure-agentic-journeys. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/DanWahlin/github-azure-agentic-journeys/main/.github/skills/data-access-abstraction/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/DanWahlin/github-azure-agentic-journeys

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for data-access-abstraction

README.md
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<a href="https://agentmods.dev/skills/danwahlin/github-azure-agentic-journeys/data-access-abstraction"><img src="https://agentmods.dev/badge/skills/danwahlin/github-azure-agentic-journeys/data-access-abstraction.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,368 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.06368
Opus 5 $0.00036 $0.03184
Sonnet 5 $0.00015 $0.01274
Haiku 4.5 $0.00007 $0.00637

Measured 6d ago against content hash 416a4fa1299c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

data-access-abstraction 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 6d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/skills/data-access-abstraction/SKILL.md · 799 lines

How it starts

The opening of the file, as written. The whole thing — 799 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Access Abstraction

Build APIs with swappable data layers using the repository pattern. Develop locally with SQLite, deploy to Azure with Cosmos DB or PostgreSQL — same route code, different backend. Works in any language.

When to Use This Skill

  • Building an API that needs to run locally (SQLite) and in Azure (Cosmos DB or PostgreSQL)
  • Adding a new data provider to an existing app without changing routes or business logic
  • Migrating from one database to another incrementally
  • Any project following the AIMarket journey pattern (local dev → cloud deploy)

Pattern Overview

The pattern is the same regardless of language:

Routes/Controllers → Repository Interfaces → Factory → Implementations
                                                │
                                                ├── SQLite (local dev)
                                                ├── Cosmos DB (Azure deploy)
                                                ├── PostgreSQL (Azure deploy)
                                                └── In-memory (testing)

Three rules:

  1. Define repository interfaces (or abstract classes / protocols) per entity
  2. Routes depend only on the interfaces — never import a database client directly
  3. A factory reads a config value (DATA_PROVIDER) and returns the right implementation

Adding a new database means writing a new implementation file. Zero changes to routes.

Environment Variable

All languages use the same convention:

DATA_PROVIDER=sqlite     # Local development (default)
DATA_PROVIDER=cosmos     # Azure Cosmos DB
DATA_PROVIDER=postgres   # Azure PostgreSQL

Node.js / TypeScript

Repository Interfaces

// data/interfaces.ts

export interface IProductRepository {
  getAll(params: {
    page: number; pageSize: number;
    category?: string; minPrice?: number; maxPrice?: number;
  }): Promise<{ data: Product[]; totalCount: number }>;

  getById(id: string): Promise<Product | null>;
  create(input: CreateProductInput): Promise<Product>;
  update(id: string, fields: Partial<Product>): Promise<Product | null>;
}

export interface IOrderRepository {
  create(input: CreateOrderInput): Promise<Order>;
  getById(id: string): Promise<Order | null>;
  getByUserId(userId: string, page: number, pageSize: number): Promise<{ data: Order[]; totalCount: number }>;
}

export interface IUserRepository {
  create(input: CreateUserInput): Promise<User>;
  getById(id: string): Promise<User | null>;
  getByEmail(email: string): Promise<User | null>;
}

export interface DataStore {
  products: IProductRepository;
  orders: IOrderRepository;
  users: IUserRepository;
  close?(): void;
}

Read the full file on GitHub · 799 lines

Changes

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.

  1. 6d ago First seen · 799 lines · 73 tokens per session scan A 416a4fa1299c

Subscribe to this mod's changes

data-access-abstraction is a skill published in the GitHub repository DanWahlin/github-azure-agentic-journeys (37 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 6,368 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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