entra-agent-user

github/awesome-copilot · updated Apr 8, 2026

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$npx skills add https://github.com/github/awesome-copilot --skill entra-agent-user
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summary

Create Agent Users in Microsoft Entra ID to enable AI agents to act as digital workers with user identity access.

  • Provisions specialized user identities ( idtyp=user tokens) linked to agent identities, allowing agents to access user-only APIs like Exchange mailboxes, Teams, and org charts
  • Requires a parent agent identity created from an agent identity blueprint; supports 1:1 relationship with optional manager assignment and license provisioning
  • Includes step-by-step HTTP and PowerShe
skill.md

SKILL: Creating Agent Users in Microsoft Entra Agent ID

Overview

An agent user is a specialized user identity in Microsoft Entra ID that enables AI agents to act as digital workers. It allows agents to access APIs and services that strictly require user identities (e.g., Exchange mailboxes, Teams, org charts), while maintaining appropriate security boundaries.

Agent users receive tokens with idtyp=user, unlike regular agent identities which receive idtyp=app.


Prerequisites

  • A Microsoft Entra tenant with Agent ID capabilities
  • An agent identity (service principal of type ServiceIdentity) created from an agent identity blueprint
  • One of the following permissions:
    • AgentIdUser.ReadWrite.IdentityParentedBy (least privileged)
    • AgentIdUser.ReadWrite.All
    • User.ReadWrite.All
  • The caller must have at minimum the Agent ID Administrator role (in delegated scenarios)

Important: The identityParentId must reference a true agent identity (created via an agent identity blueprint), NOT a regular application service principal. You can verify by checking that the service principal has @odata.type: #microsoft.graph.agentIdentity and servicePrincipalType: ServiceIdentity.


Architecture

Agent Identity Blueprint (application template)
    ├── Agent Identity (service principal - ServiceIdentity)
    │       │
    │       └── Agent User (user - agentUser) ← 1:1 relationship
    └── Agent Identity Blueprint Principal (service principal in tenant)
Component Type Token Claim Purpose
Agent Identity Service Principal idtyp=app Backend/API operations
Agent User User (agentUser) idtyp=user Act as a digital worker in M365

Step 1: Verify the Agent Identity Exists

Before creating an agent user, confirm the agent identity is a proper agentIdentity type:

GET https://graph.microsoft.com/beta/servicePrincipals/{agent-identity-id}
Authorization: Bearer <token>

Verify the response contains:

{
  "@odata.type": "#microsoft.graph.agentIdentity",
  "servicePrincipalType": "ServiceIdentity",
  "agentIdentityBlueprintId": "<blueprint-id>"
}

PowerShell

Connect-MgGraph -Scopes "Application.Read.All" -TenantId "<tenant>" -UseDeviceCode -NoWelcome
Invoke-MgGraphRequest -Method GET `
  -Uri "https://graph.microsoft.com/beta/servicePrincipals/<agent-identity-id>" | ConvertTo-Json -Depth 3

Common mistake: Using an app registration's appId or a regular application service principal's id will fail. Only agent identities created from blueprints work.


Step 2: Create the Agent User

HTTP Request

POST https://graph.microsoft.com/beta/users/microsoft.graph.agentUser
Content-Type: application/json
Authorization: Bearer <token>

{
  "accountEnabled": true,
  "displayName": "My Agent User",
  "mailNickname": "my-agent-user",
  "userPrincipalName": "[email protected]",
  "identityParentId": "<agent-identity-object-id>"
}

Required Properties

Property Type Description
accountEnabled Boolean true to enable the account
displayName String Human-friendly name
mailNickname String Mail alias (no spaces/special chars)
userPrincipalName String UPN — must be unique in the tenant (alias@verified-domain)
identityParentId String Object ID of the parent agent identity

PowerShell

Connect-MgGraph -Scopes "User.ReadWrite.All" -TenantId "<tenant>" -UseDeviceCode -NoWelcome

$body = @{
  accountEnabled    = $true
  displayName       = "My Agent User"
  mailNickname      = "my-agent-user"
  userPrincipalName = "[email protected]"
  identityParentId  = "<agent-identity-object-id>"
} | ConvertTo-Json

Invoke-MgGraphRequest -Method POST `
  -Uri "https://graph.microsoft.com/beta/users/microsoft.graph.agentUser" `
  -Body $body -ContentType "application/json" | ConvertTo-Json -Depth 3

Key Notes

  • No password — agent users cannot have passwords. They authenticate via their parent agent identity's credentials.
  • 1:1 relationship — each agent identity can have at most one agent user. Attempting to create a second returns 400 Bad Request.
  • The userPrincipalName must be unique. Don't reuse an existing user's UPN.

Step 3: Assign a Manager (Optional)

Assigning a manager allows the agent user to appear in org charts (e.g., Teams).

PUT https://graph.microsoft.com/beta/users/{agent-user-id}/manager/$ref
Content-Type: application/json
Authorization: Bearer <token>

{
  "@odata.id": "https://graph.microsoft.com/beta/users/{manager-user-id}"
}

PowerShell

$managerBody = '{"@odata.id":"https://graph.microsoft.com/beta/users/<manager-user-id>"}'
Invoke-MgGraphRequest -Method PUT `
  -Uri "https://graph.microsoft.com/beta/users/<agent-user-id>/manager/`$ref" `
  -Body $managerBody -ContentType "application/json"

Step 4: Set Usage Location and Assign Licenses (Optional)

A license is needed for the agent user to have a mailbox, Teams presence, etc. Usage location must be set first.

Set Usage Location

PATCH https://graph.microsoft.com/beta/users/{agent-user-id}
Content-Type: application/json
Authorization: Bearer <token>

{
  "usageLocation": "US"
}

List Available Licenses

GET https://graph.microsoft.com/beta/subscribedSkus?$select=skuPartNumber,skuId,consumedUnits,prepaidUnits
Authorization: Bearer <token>

Requires Organization.Read.All permission.

Assign a License

POST https://graph.microsoft.com/beta/users/{agent-user-id}/assignLicense
Content-Type: application/json
Authorization: Bearer <token>

{
  "addLicenses": [
    { "skuId": "<sku-id>" }
  ],
  "removeLicenses": []
}

PowerShell (all in one)

Connect-MgGraph -Scopes "User.ReadWrite.All","Organization.Read.All" -TenantId "<tenant>" -NoWelcome

# Set usage location
Invoke-MgGraphRequest -Method PATCH `
  -Uri "https://graph.microsoft.com/beta/users/<agent-user-id>" `
  -Body '{"usageLocation":"US"}' -ContentType "application/json"

# Assign license
$licenseBody = '{"addLicenses":[{"skuId":"<sku-id>"}],"removeLicenses":[]}'
Invoke-MgGraphRequest -Method POST `
  -Uri "https://graph.microsoft.com/beta/users/<agent-user-id>/assignLicense" `
  -Body $licenseBody -ContentType "application/json"

Tip: You can also assign licenses via the Entra admin center under Identity → Users → All users → select the agent user → Licenses and apps.


Provisioning Times

Service Estimated Time
Exchange mailbox 5–30 minutes
Teams availability 15 min – 24 hours
Org chart / People search Up to 24–48 hours
SharePoint / OneDrive 5–30 minutes
Global Address List Up to 24 hours

Agent User Capabilities

  • ✅ Added to Microsoft Entra groups (including dynamic groups)
  • ✅ Access user-only APIs (idtyp=user tokens)
  • ✅ Own a mailbox, calendar, and contacts
  • ✅ Participate in Teams chats and channels
  • ✅ Appear in org charts and People search
  • ✅ Added to administrative units
  • ✅ Assigned licenses

Agent User Security Constraints

  • ❌ Cannot have passwords, passkeys, or interactive sign-in
  • ❌ Cannot be assigned privileged admin roles
  • ❌ Cannot be added to role-assignable groups
  • ❌ Permissions similar to guest users by default
  • ❌ Custom role assignment not available

Troubleshooting

Error Cause Fix
Agent user IdentityParent does not exist identityParentId points to a non-existent or non-agent-identity object Verify the ID is an agentIdentity service principal, not a regular app
400 Bad Request (identityParentId already linked) The agent identity already has an agent user Each agent identity supports only one agent user
409 Conflict on UPN The userPrincipalName is already taken Use a unique UPN
License assignment fails Usage location not set Set usageLocation before assigning licenses

References

how to use entra-agent-user

How to use entra-agent-user on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add entra-agent-user
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/github/awesome-copilot --skill entra-agent-user

The skills CLI fetches entra-agent-user from GitHub repository github/awesome-copilot and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/entra-agent-user

Reload or restart Cursor to activate entra-agent-user. Access the skill through slash commands (e.g., /entra-agent-user) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.863 reviews
  • Ishan Jackson· Dec 28, 2024

    We added entra-agent-user from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Sakura Bansal· Dec 24, 2024

    entra-agent-user reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Fatima Jain· Dec 16, 2024

    Useful defaults in entra-agent-user — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ren Ndlovu· Dec 8, 2024

    entra-agent-user fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Chaitanya Patil· Dec 4, 2024

    Useful defaults in entra-agent-user — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Alexander Ghosh· Dec 4, 2024

    We added entra-agent-user from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hiroshi Okafor· Nov 27, 2024

    Registry listing for entra-agent-user matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Piyush G· Nov 23, 2024

    entra-agent-user is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kaira Rao· Nov 23, 2024

    entra-agent-user has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ava Srinivasan· Nov 23, 2024

    entra-agent-user reduced setup friction for our internal harness; good balance of opinion and flexibility.

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