Intune Compliance
SkillDev toolsUse when the user asks why Intune devices are noncompliant, failing compliance, blocked, in grace period, or need compliance policy triage.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Intune Compliance skill
What this skill tells your AI
The instructions your AI receives, as published by openadminos/greybeard in .agents/skills/read/intune-compliance/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.
- Call
get-auth-statusbefore anygraphcall. - If
signedInis false, tell the user to rungreybeard setupand stop. - Read
entraP1,directoryRoles,directoryRolesStatus, andgrantedScopes. TreatdirectoryRoles: nullas unknown. Intune compliance reports are not Entra P1 gated, but Intune licensing and roles may still limit data. - Use Graph for policy and managed-device state. If the user wants Log Analytics or historical trend KQL, hand off to
kql-authoring. - Tier 2 scopes for this skill are
DeviceManagementConfiguration.Read.AllandDeviceManagementManagedDevices.Read.All. - 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
Compliance Policy Overview
{
"method": "GET",
"apiVersion": "beta",
"path": "/deviceManagement/deviceCompliancePolicies",
"query": {
"$select": "id,displayName,createdDateTime,lastModifiedDateTime,version"
},
"fetchAll": true,
"maxItems": 1000
}
For each selected policy:
{
"method": "GET",
"apiVersion": "beta",
"path": "/deviceManagement/deviceCompliancePolicies/{deviceCompliancePolicyId}/deviceStatusOverview",
"query": {
"$select": "pendingCount,notApplicableCount,successCount,errorCount,failedCount,lastUpdateDateTime,configurationVersion"
},
"fetchAll": false,
"maxItems": 1
}
Noncompliant Device List
{
"method": "GET",
"apiVersion": "beta",
"path": "/deviceManagement/managedDevices",
"query": {
"$select": "id,deviceName,userPrincipalName,operatingSystem,osVersion,complianceState,lastSyncDateTime,managementAgent",
"$filter": "complianceState eq 'noncompliant'"
},
"fetchAll": true,
"maxItems": 5000
}
Device Statuses for One Policy
{
"method": "GET",
"apiVersion": "beta",
"path": "/deviceManagement/deviceCompliancePolicies/{deviceCompliancePolicyId}/deviceStatuses",
"fetchAll": true,
"maxItems": 5000
}
Do not use $select on deviceStatuses; the Intune service returns a 500 for any $select here. Fetch full rows and keep only id, deviceDisplayName, userName, userPrincipalName, status, and lastReportedDateTime in the report.
Output
Return:
- Summary of affected devices and policies.
- Likely reason buckets: failed, error, in grace period, pending, not applicable.
- Device table with selected fields only.
- Fix guidance that separates admin action from user action.
- A note when Graph state is current-state only and KQL is needed for history.
Do not propose changing compliance policies directly. If the user asks for changes, route to change-plan.
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-compliance- Source
- github.com/openadminos/greybeard