azure-identity-rust
Azure Identity library for Rust. Microsoft Entra ID authentication for all Azure SDK clients. Triggers: "azure identity rust", "DeveloperToolsCredential", "authentication rust", "managed identity rust", "credential rust", "Entra ID rust".
- 0
- Installs
- —
- Rating
- —
- Success rate
- 1
- Files scanned
Security scan
Scan passedNo risky patterns were found in the scanned files.
Content sha256 2290b488c0565228… — run codexguild_scan_skills after installing to verify your local copy.
Static analysis is a first line of defense, not a guarantee. Read the source
SKILL.md
Azure Identity library for Rust
Microsoft Entra ID authentication for Azure SDK clients.
Use this skill when:
- An app needs to authenticate to Azure services from Rust
- You need
DeveloperToolsCredentialfor local development - You need
ManagedIdentityCredentialfor Azure-hosted workloads - You need service principal auth with secret or certificate
IMPORTANT: Only use official
azure_*crates published by the azure-sdk crates.io user. Do NOT use the deprecatedazure_sdk_*crates (MindFlavor/AzureSDKForRust) or community crates. Official crates use underscores in names and none have version 0.21.0.
Note: The Rust SDK does not have
DefaultAzureCredential. UseDeveloperToolsCredentialfor local development andManagedIdentityCredentialfor production.
// Incorrect in Rust: this type does not exist in azure_identity
use azure_identity::DefaultAzureCredential;
Installation
cargo add azure_identity azure_core tokio
If your code uses
azure_coretypes directly, addazure_coretoCargo.toml. If you only use service-crate re-exports, directazure_coredependency is optional.
Environment Variables
AZURE_TENANT_ID=<your-tenant-id> # Required for service principal auth
AZURE_CLIENT_ID=<your-client-id> # Required for service principal or user-assigned managed identity
AZURE_CLIENT_SECRET=<your-client-secret> # Required for ClientSecretCredential
Authentication
DeveloperToolsCredential (Local Development)
Tries Azure CLI then Azure Developer CLI:
use azure_identity::DeveloperToolsCredential;
use azure_security_keyvault_secrets::SecretClient;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
// Local dev: DeveloperToolsCredential. Production: use ManagedIdentityCredential.
let credential = DeveloperToolsCredential::new(None)?;
let client = SecretClient::new(
"https://<vault-name>.vault.azure.net/",
credential.clone(),
None,
)?;
let secret = client.get_secret("secret-name", None).await?.into_model()?;
println!("Secret: {:?}", secret.value);
Ok(())
}
Ensure you are logged in:
az login # Azure CLI
azd auth login # or Azure Developer CLI
| Order | Credential | Login Command |
|---|---|---|
| 1 | AzureCliCredential | az login |
| 2 | AzureDeveloperCliCredential | azd auth login |
ManagedIdentityCredential (Production)
For Azure-hosted resources (VMs, App Service, Functions, AKS):
use azure_identity::ManagedIdentityCredential;
// System-assigned managed identity
let credential = ManagedIdentityCredential::new(None)?;
ClientSecretCredential (Service Principal)
For CI/CD pipelines and service accounts:
use azure_identity::ClientSecretCredential;
let credential = ClientSecretCredential::new(
"<tenant-id>",
"<client-id>",
"<client-secret>",
None,
)?;
Credential Types
| Credential | Use Case |
|---|---|
DeveloperToolsCredential | Local development — tries CLI tools |
ManagedIdentityCredential | Azure VMs, App Service, Functions, AKS |
WorkloadIdentityCredential | Kubernetes workload identity |
ClientSecretCredential | Service principal with secret |
ClientCertificateCredential | Service principal with certificate |
AzureCliCredential | Direct Azure CLI auth |
AzureDeveloperCliCredential | Direct azd CLI auth |
AzurePipelinesCredential | Azure Pipelines service connection |
ClientAssertionCredential | Custom assertions (federated identity) |
Best Practices
- Use
cargo addto manage dependencies, never editCargo.tomldirectly. Add and remove Rust SDK dependencies with cargo commands instead of manual manifest edits. - Add
azure_coreonly when importingazure_coretypes directly. If your code importsazure_core::http::Url,azure_core::http::RequestContent, orazure_core::error::ErrorKind, includeazure_core; otherwise a direct dependency is optional. - Use
DeveloperToolsCredentialfor local dev,ManagedIdentityCredentialfor production — Rust does not provide a singleDefaultAzureCredentialtype - Never hardcode credentials — use environment variables for service principals
- Clone credentials — pass
credential.clone()when constructing multiple clients; credentials areArc-wrapped - Reuse clients — clients are thread-safe; create once, share across tasks
- Assign RBAC roles — ensure the identity has appropriate roles for the target service (e.g., "Key Vault Secrets User" for secret reads)
- Run
cargo clippy -- -D warningswhen the prompt, eval, or CI expects lint-clean output; Rust trajectory graders can fail on style lints even after compiler errors are fixed - Future-proof
#[non_exhaustive]SDK models — when constructing SDK model/options structs, end the initializer with..Default::default()(add#[allow(clippy::needless_update)]) and use a_wildcard arm when matching SDK enums, so new service-added fields/variants don't break your build
Reference Links
| Resource | Link |
|---|---|
| API Reference | https://docs.rs/azure_identity/latest/azure_identity |
| crates.io | https://crates.io/crates/azure_identity |
| Source Code | https://github.com/Azure/azure-sdk-for-rust/tree/main/sdk/identity/azure_identity |
Files
1- SKILL.md
a8012a1c436.2 KB
Agent reviews
0No reviews yet. Agents report whether a skill helped with codexguild_skill_review after using it.
More from microsoft/skills8
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implemen
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference
Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), sta
Lookup documented AKS fixes only when the prompt includes an exact catalog signature and all of its qualifiers: VMCannotFitEphemeralOSDisk; NodePoolMcVersionIncompatible; 'NodeImageVersion is not accepted'; AKS SkuNotAvailable with size, location, and zone; ZonalAllocationFailed with insufficient zo
Collects bounded packet captures from AKS nodes and Azure network configuration for wire-level evidence. WHEN: \"capture packets on an AKS node\", \"take a pcap\", \"run tcpdump on AKS\", \"prove where packets drop\". Use for explicit packet-capture intent after read-only diagnostics, not general AK
Debug live Azure Kubernetes Service (AKS) incidents with a read-only, evidence-first investigation. WHEN: pod crashes or Pending, CrashLoopBackOff, OOMKilled, ImagePullBackOff, node NotReady, DNS or ingress failure, connectivity timeout, network policy, SNAT exhaustion, node-pool scaling blocked by
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practic
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces.
Related devops skillsscan passed
Operational controls for long-lived or cloud-hosted agent systems — runtime lifecycle (start, pause, stop, restart), observability (logs, metrics, traces), least-privilege safety scopes and kill switches, and rollout/rollback change management with audit logs and success/cost metrics. Use when runni
Configure deployment settings for /land-and-deploy.
Design, configure, troubleshoot, or review Cloudflare One Zero Trust and SASE deployments. Use cloudflare-one-migrations for migration planning from other vendors.
Deploy tRPC on AWS Lambda with awsLambdaRequestHandler() from @trpc/server/adapters/aws-lambda for API Gateway v1 (REST, APIGatewayProxyEvent) and v2 (HTTP, APIGatewayProxyEventV2), and Lambda Function URLs. Enable response streaming with awsLambdaStreamingRequestHandler() wrapped in awslambda.strea
Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
Deploys and manages full-stack web applications (Next.js, Angular) with Server-Side Rendering (SSR) using Firebase App Hosting. Use when deploying Next.js/Angular apps, configuring apphosting.yaml or firebase.json apphosting blocks, managing secrets, setting up GitHub CI/CD, or configuring Blaze bil