Azure Sdk Rust Sample Review

USE FOR

• "review Rust Azure SDK sample"
• "check Rust sample for best practices"
• "Azure SDK Rust code review"
• Reviewing credential handling in Azure SDK Rust samples
• Ownership patterns and async runtime review for Rust Azure SDK samples
• Error propagation and documentation compliance check for Rust Azure SDK samples

DO NOT USE FOR

• General Rust code review unrelated to Azure SDK samples
• Production application code review
• Azure service configuration

Context

Base template: Inherits from azure-sdk-sample-review for shared review patterns (credentials, error handling, documentation, infrastructure). This skill adds Rust-specific rules below.

Use this skill when reviewing Rust code samples for Azure SDKsintended for publication as Microsoft Azure samples. Focuses on Azure SDK-specific concerns: azure_* crates, DefaultAzureCredential, service-specific patterns, sample hygiene, documentation accuracy, infrastructure-as-code, azd integration, and Rust idioms (ownership, borrowing, error propagation, async runtimes, RAII cleanup).

⚠️ SDK Maturity Note: The Azure SDK for Rust is still evolving. Many crates are in preview/alpha. This skill focuses on stable patterns (auth, error handling, async, project structure). Always check crates.io and the Azure SDK for Rust GitHub repo for latest status.

Total rules: 66 (9 CRITICAL, 25 HIGH, 29 MEDIUM, 3 LOW)

Severity Legend

• CRITICAL: Security vulnerability or sample will not compile/run. Must fix before any publication.
• HIGH: Major quality issue that will confuse users or cause production failures. Fix before merge.
• MEDIUM: Best practice violation. Should fix before publication for maintainability.
• LOW: Polish item, nice-to-have improvement.

Quick Pre-Review Checklist (5-Minute Scan)

• Cargo.toml: Uses azure_* crates (not unofficial wrappers)
• Authentication: Uses DefaultAzureCredential (not connection strings or hardcoded keys)
• .gitignore: Exists and includes .env, target/
• No secrets: No hardcoded credentials, API keys, or tokens in code
• README.md: Exists with prerequisites, setup steps, and expected output
• LICENSE: MIT license file present (required for Azure Samples)
• Security: cargo audit passes with no critical/high vulnerabilities
• Rust Edition: edition = "2021" in Cargo.toml
• Error handling: Uses Result<T, E> and ? operator (no unwrap() in main paths)
• Resource cleanup: Clients properly dropped (RAII pattern, no leaks)
• Lock file: Cargo.lock committed (for binary crates)
• Clippy: cargo clippy passes with no warnings
• Imports work: cargo check succeeds
• Build succeeds: cargo build completes without errors
• Sample runs: cargo run executes without panics

Blocker Issues (Auto-Reject)

These issues always block publication. Samples with any of these must be rejected immediately:

1. Hardcoded secrets—Any production credentials, API keys, connection strings, or tokens in code
2. Missing authentication—No auth implementation or uses insecure methods
3. No error handling—Uses unwrap() or expect() in main code paths, no Result returns
4. Broken imports—Missing dependencies, incorrect crate names, cargo check fails
5. Security vulnerabilities—cargo audit shows critical or high CVEs
6. Missing LICENSE—No LICENSE file at ANY level of repo hierarchy (MIT required). ⚠️ Check repo root before flagging.
7. .env file committed—Live credentials in version control. ⚠️ Verify with git ls-files .env.
8. Panics in sample code—Uses unwrap(), expect(), or panic!() in non-test code paths without justification

Detailed Rules

Language-Specific References (Rust code examples)

Companion Skills

• azure-sdk-typescript-sample-review — TypeScript-specific Azure SDK patterns (template this skill was adapted from)
• azure-sdk-dotnet-sample-review — .NET 9/10 + Aspire Azure SDK patterns
• azure-sdk-python-sample-review — Python 3.9+ + async Azure SDK patterns

Summary

This skill enforces 66 rules for Azure SDK Rust sample quality covering: authentication (DefaultAzureCredential, managed identity, token refresh), Rust idioms (ownership, RAII, async/tokio, error propagation), data services (Cosmos DB, Azure SQL, Storage), AI services (OpenAI, embeddings), infrastructure (Bicep/AVM, azd), and documentation accuracy. Apply these patterns to ensure samples are secure, idiomatic, well-documented, and ready for publication.

References

References location: All reference files for this skill live inside the skill directory at .github/skills/data-plus-ai-sdk-rust-sample-review/. Paths like references/file.md resolve to .github/skills/data-plus-ai-sdk-rust-sample-review/references/file.md. Paths are relative to the skill folder, not the repo root.