data-access-abstraction

data-access-abstraction is a Databases & SQL skill for AI agents, published by DanWahlin in the github-azure-agentic-journeys repository on GitHub. Skillspace rates data-access-abstraction D (60/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Data access abstraction patterns for apps that need to swap between local databases (SQLite) and cloud databases (Cosmos DB, PostgreSQL) without changing application code. Covers Node.js/TypeScript, Python/FastAPI, and .NET. Use when building apps that run locally with SQLite and deploy to Azure with Cosmos DB or PostgreSQL.

Grade
D
Quality
60 / 100
Safety
Needs review
GitHub stars
36

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubDanWahlin/github-azure-agentic-journeys

Our review

Architecture
86 / 100
Maturity
Basic: a single SKILL.md
Security scan
Medium-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • reads environment variables

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Databases & SQL

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.