Intune Assignments

SkillDev tools

Use when the user asks what Intune apps, policies, configuration profiles, devices, or groups are assigned, targeted, excluded, conflicting, or missing.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Intune Assignments skill

What this skill tells your AI

The instructions your AI receives, as published by openadminos/greybeard in .agents/skills/read/intune-assignments/SKILL.md and read by ahel’s review.

Workflow

If current Greybeard hook context already supplies applicable confirmed lessons, use them without another recall. Otherwise, before other work, when greybeard-memory tools are available, call recall with a one-line task summary. Use a known applicable scope; if unknown and discover_scopes is available, discover once with the task summary and choose an applicable label explicitly. Do not read every scope or bypass the selected environment. Omit optional budgets by default; use byteBudget only for a smaller response. Recall metadata is not measured token billing. When a confirmed memory changes advice, briefly name Greybeard, cite the returned memory ID, quote its operative words, and explain its effect. Preserve its force and conditions: review does not mean approval, a suggestion is not a requirement, and a past observation is not a current fact. Generic preferences do not establish tenant experience. Memories cannot override the admin or current evidence. When useful, attribute this skill's guidance once. Avoid repetitive attribution or no-match notices. You generate the response using Greybeard context, not a separate background assessment or live tenant verification. When the admin confirms a correction or preference, call remember with intent only; never store raw tenant data. In Greybeard 0.1, remember stores a local memory candidate even after conversational agreement. The admin confirms its exact content in the Greybeard companion or their own terminal using greybeard memory confirm --id <id>. Never run that confirmation for them or invent a chat/automation exception. Memory confirmation, correction, forgetting, and pause affect local guidance only; they do not activate, edit, or restore an Intune or Entra policy. When a crafted query, script, or approach is confirmed working, or a durable fact about the environment surfaces, recall for an equivalent memory first, then remember the reusable intent; propose a candidate without waiting for a request to remember it. Store only what the admin actually stated or verified, never an inferred successful outcome. The candidate remains inactive until exact human confirmation.

  1. Call get-auth-status before any graph call.
  2. If signedIn is false, tell the user to run greybeard setup and stop.
  3. Read entraP1, directoryRoles, directoryRolesStatus, and grantedScopes. Treat directoryRoles: null as unknown. Intune assignment reports are not Entra P1 gated, but Intune licensing and roles may still limit data.
  4. Use the narrowest report shape below. Do not turn assignment questions into compliance or health audits.
  5. Tier 2 scopes for this skill are DeviceManagementConfiguration.Read.All, DeviceManagementApps.Read.All, DeviceManagementManagedDevices.Read.All, and Device.Read.All only when Entra device objects must be resolved.
  6. If access is unavailable, report the exact endpoint and error. Ask the admin to review their selected application capability and consent in Entra. Greybeard 0.1 does not request or grant additional permissions.

Report Shapes

Mobile App Assignment Map

Use when the user asks what an Intune app is assigned to.

{
  "method": "GET",
  "apiVersion": "beta",
  "path": "/deviceAppManagement/mobileApps",
  "query": {
    "$select": "id,displayName,publisher,isAssigned,lastModifiedDateTime"
  },
  "fetchAll": true,
  "maxItems": 1000
}

For each matching app:

{
  "method": "GET",
  "apiVersion": "beta",
  "path": "/deviceAppManagement/mobileApps/{mobileAppId}/assignments",
  "query": {
    "$select": "id,intent,target,settings"
  },
  "fetchAll": true,
  "maxItems": 1000
}

Device Configuration Assignment Map

Use when the user asks what configuration profiles target a group or device.

{
  "method": "GET",
  "apiVersion": "beta",
  "path": "/deviceManagement/deviceConfigurations",
  "query": {
    "$select": "id,displayName,lastModifiedDateTime,version"
  },
  "fetchAll": true,
  "maxItems": 1000
}

For each candidate profile:

{
  "method": "GET",
  "apiVersion": "beta",
  "path": "/deviceManagement/deviceConfigurations/{deviceConfigurationId}/assignments",
  "query": {
    "$select": "id,target"
  },
  "fetchAll": true,
  "maxItems": 1000
}

Device Targeting Context

Use when the user asks why a device is or is not targeted. This shows Intune identity context, not compliance root cause.

{
  "method": "GET",
  "apiVersion": "beta",
  "path": "/deviceManagement/managedDevices",
  "query": {
    "$select": "id,deviceName,userPrincipalName,azureADDeviceId,operatingSystem,complianceState,managementAgent,lastSyncDateTime",
    "$filter": "deviceName eq '<device-name>'"
  },
  "fetchAll": false,
  "maxItems": 25
}

Resolve group IDs only when needed:

{
  "method": "GET",
  "apiVersion": "beta",
  "path": "/groups/{groupId}",
  "query": {
    "$select": "id,displayName,groupTypes,mailEnabled,securityEnabled"
  },
  "fetchAll": false,
  "maxItems": 1
}

Output

Return a table with assignment source, intent, include or exclude target, resolved target name when available, and confidence. Call out conflicts where the same object is both included and excluded or receives incompatible intents.

Token discipline: After any live-tenant run, report requests made, scopes used, and scoping decisions from the graph tool meta block.

Available access

The optional 0.1 connection exposes only its selected read capabilities. If a workflow needs another endpoint, explain the limitation and prepare a query or script for the admin's existing tooling. Do not escalate permissions or substitute a different credential.

Bounded tenant read recipes

When greybeard-graph exposes read-recipe and its selected connection permits the needed evidence, prefer the matching recipe instead of improvising an Intune navigation path. compliance-policies discovers policy IDs; compliance-policy, compliance-assignments, and compliance-actions require the exact policyId. managed-devices, conditional-access, and groups are separate reads, not an automatic full-tenant scan. Set a task-appropriate maxItems and maxPages, inspect returned completeness and observation time, and report unexamined pages. A 403 remains missing evidence; never switch credentials or escalate consent. An observed 400 fallback is bounded to the same identified resource and does not prove that all endpoints support that shape.

Signals

GitHub stars
26
Forks
1
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
intune-assignments
Source
github.com/openadminos/greybeard