Sad Tux - Windows bias detected
This page contains Windows bias

About This Page

This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.

Bias Analysis

Detected Bias Types
windows_first
powershell_heavy
windows_tools
Summary
The documentation provides both Linux/macOS and Windows examples for key ORAS commands, but Windows examples (using .cmd syntax and .\oras.exe) are consistently presented after Linux/macOS/WSL2 examples. There is a notable emphasis on Windows tooling, such as referencing Docker Desktop credential store (which is Windows-centric), and explicit Windows command syntax. However, Linux parity is generally maintained, with bash examples and clear instructions for Linux/WSL2/macOS users. There are no sections where only Windows examples are given, but the documentation does not mention Linux-specific credential stores or patterns, and Docker Desktop is referenced without alternatives for Linux.
Recommendations
  • Include Linux-specific credential store information (e.g., pass, gnome-keyring, or Docker's Linux credential helpers) when discussing authentication.
  • When referencing Docker Desktop, also mention Docker Engine for Linux and how credentials are managed on Linux systems.
  • Present command examples for Linux and Windows side-by-side, or clarify that the Linux/macOS/WSL2 example applies to most users, with Windows as an alternative.
  • Add notes or sections for common Linux troubleshooting or environment setup, such as permissions or package manager installation commands.
  • Ensure parity in tool recommendations (e.g., mention Linux-native signing tools if referencing Notation or similar Windows tools).
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Scan History

Date Scan Status Result
2026-01-14 00:00 #251 completed Biased Biased
2026-01-13 00:00 #247 completed Biased Biased
2026-01-11 00:00 #241 completed Biased Biased
2026-01-10 00:00 #238 completed Biased Biased
2026-01-09 00:34 #235 completed Biased Biased
2026-01-08 00:53 #232 completed Biased Biased

Flagged Code Snippets