Microsoft Entra Agent ID Provisioning
Provision OAuth2-capable identities for AI agents through Microsoft Graph beta.
The documentation discloses required roles, permissions, beta endpoints, secrets, workload federation, and warns against public sidecar exposure. However, permissions are broad, examples use client secrets and environment variables, and there is no systematic least-privilege mapping, confirmation flow, secret-rotation guidance, sensitive-data handling, or confirmed/recoverable deletion procedure, so points are deducted.
The main workflow, known limitations, retry guidance, and troubleshooting are reasonably detailed. However, there are no skill-specific executable tests or CI coverage, and the client_credentials workflow obtains a sponsor through Azure CLI signed-in-user context, creating an operational gap for app-only authentication. Version and preview API assumptions also require revalidation, so the score is limited.
Triggers, audience, Blueprint/Principal/Identity concepts, OAuth, WIF, sidecar, and autonomous/interactive patterns are clearly described. However, the scope is limited to preview Microsoft Entra Agent ID capabilities, non-fit boundaries and input/output contracts are incomplete, and environment fit for Graph, Azure login, and container-image dependencies is not fully explained, so points are deducted.
The skill uses a readable main document plus reference files, with prerequisites, environment variables, permissions, examples, limitations, troubleshooting, security guidance, MIT licensing, and official-source attribution. It lacks an explicit skill version, changelog, named maintenance responsibility, and update path, while sidecar image tags and documentation-version stability are not sufficiently specified.
It covers the principal tasks from Blueprint creation through identity creation, token flows, and sidecar deployment, with copyable code and configuration. However, permissions, propagation delays, cleanup, token validation, and preview API changes still require substantial manual verification, and some examples may need correction. Static review cannot establish direct usability beyond a conservative score.
The files provide official documentation links, source annotations, API tables, and repository-level CI/test signals. Those tests do not cover this skill’s key paths, and there is no committed Agent ID-specific test suite or third-party execution evidence. The assessment therefore relies mainly on one documentation set and receives only limited credit.
- This is a static source review only; no commands, API calls, or deployments were executed.
- Before using client secrets, broad Graph application permissions, or deletion APIs, confirm tenant scope, permissions, secret storage, rotation, and rollback.
- Recheck all Microsoft Graph beta parameters, permission names, sidecar image tags, and official preview limitations; do not treat the examples as production-ready without review.
- Restrict the sidecar to the pod or Docker network and verify that unauthenticated endpoints cannot be reached externally.
What it does & when to use it
This skill guides developers through creating and managing AI agent identities with the Microsoft Graph beta API. It covers Agent Identity Blueprints, explicitly created BlueprintPrincipals, agent instances, permissions, sponsors, and workload identity federation. It also points to the Microsoft Entra AgentID SDK sidecar for polyglot, Docker/Kubernetes, third-party, autonomous, and interactive agent patterns. All Agent Identity endpoints are preview-only beta endpoints, and Azure CLI tokens are explicitly unsuitable for these calls.
It shows how to install the Microsoft Graph Beta PowerShell module or Python dependencies, configure tenant, client, and secret environment variables, and consult the latest setup documentation through the microsoft-docs MCP. It provides PowerShell delegated-authentication and Python client_credentials examples that call https://graph.microsoft.com/beta to create a Blueprint, create its required BlueprintPrincipal, create and list Agent Identities, and delete resources. It also documents Graph permissions, admin-consent commands, propagation-delay retries, OAuth2 identifier URIs, workload identity federation, and references for sidecar deployment.
- An Azure identity developer needs one Blueprint and separate identities for multiple instances of the same AI agent type.
- An engineer writing an automated provisioning tool needs a Python client_credentials workflow for the Graph beta API.
- An Entra administrator performing interactive setup needs PowerShell commands with explicit delegated scopes.
- A team deploying polyglot agents in Docker or Kubernetes needs to evaluate the Entra AgentID SDK sidecar and third-party agent patterns.
Pros & cons
- Covers the core lifecycle from Blueprint through BlueprintPrincipal and Agent Identity creation.
- Offers both interactive PowerShell and programmatic Python approaches.
- Documents permissions, admin consent, idempotency, propagation delays, and cleanup.
- Includes references for workload identity federation, sidecars, Docker/Kubernetes, and third-party agents.
- Agent Identity endpoints are available only under Microsoft Graph beta, not v1.0.
- The workflow requires elevated roles and admin consent, with possible temporary 403 or 404 errors during propagation.
- Azure CLI tokens are explicitly rejected, making authentication more constrained than ordinary Azure SDK scenarios.
- The source provides operational examples but does not show an independent test suite or a complete automated installer for this individual skill.
How to install
Run npx skills add microsoft/skills in the target project and select entra-agent-id in the wizard. The README says skills are installed in the selected agent directory, such as .github/skills/ for GitHub Copilot. Alternatively, copy .github/skills/entra-agent-id/ from the repository. The repository is MIT-licensed and actively maintained; the source does not document a separate package installation for this individual skill.
How to use
Prompt a coding agent with, for example: Create a Microsoft Entra Agent ID Blueprint, BlueprintPrincipal, and one agent instance for my AI agent using Python client_credentials and the Microsoft Graph beta API. Before execution, query the microsoft-docs MCP for “Microsoft Entra agent identity setup” and verify current preview parameters. Prepare an Entra role or app registration with the required permissions, use User objects as sponsors, include OData-Version: 4.0 on every request, and do not use Azure CLI tokens for Agent Identity API calls.