Posture Script

SkillDev tools

Use when the user wants a complete script to check, audit, report, harden, export, or remediate Microsoft 365, Intune, Entra, or Graph posture offline.

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 Posture Script skill

What this skill tells your AI

The instructions your AI receives, as published by openadminos/greybeard in .agents/skills/craft/posture-script/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.

This is an offline authoring skill. Do not call live tenant tools unless the user explicitly asks to run the script after authoring it.

  1. Identify the minimum Microsoft Graph delegated scopes needed for the script.
  2. Prefer Microsoft Graph PowerShell only when the cmdlet name is known. Never invent cmdlets.
  3. When a cmdlet is uncertain and Microsoft Learn MCP is available, verify the cmdlet against Microsoft Learn before using it.
  4. If cmdlet verification is not available, use Invoke-MgGraphRequest with a real beta endpoint instead of inventing a cmdlet.
  5. Include Connect-MgGraph -Scopes <minimal scopes> near the top.
  6. Include robust error handling, pagination, and clear output. Scripts must be complete, not fragments.
  7. For destructive actions, include [CmdletBinding(SupportsShouldProcess)], require -WhatIf support, and use if ($PSCmdlet.ShouldProcess(...)) around the action.
  8. Route tenant writes through Greybeard change-plan when the user wants Greybeard to execute changes. A PowerShell script can be generated for manual use, but Greybeard itself must not bypass the write gate.
  9. After the admin confirms the script runs correctly, recall for an equivalent script memory, then record it with remember as type: "script": what the script does, the target surface, and the key design choices. Never store the script body or tenant output.

Script Requirements

Every script should include:

  • #requires -Version 7.2
  • Module check for Microsoft.Graph.Authentication
  • Connect-MgGraph -Scopes @(...)
  • Select-MgProfile only if the installed SDK version requires it; do not include it by habit.
  • try and catch with actionable error messages.
  • Pagination for collection endpoints using @odata.nextLink.
  • $select and $filter in Graph requests where supported.
  • Output as objects first, with optional Export-Csv only when requested.

Preferred Pattern

Use this structure for endpoint-based scripts:

#requires -Version 7.2
[CmdletBinding(SupportsShouldProcess = $true)]
param(
    [string]$CsvPath
)

$Scopes = @("User.Read.All")

try {
    Import-Module Microsoft.Graph.Authentication -ErrorAction Stop
    Connect-MgGraph -Scopes $Scopes -NoWelcome -ErrorAction Stop

    $Uri = "https://graph.microsoft.com/beta/users?`$select=id,displayName,userPrincipalName,accountEnabled&`$filter=accountEnabled eq false"
    $Rows = New-Object System.Collections.Generic.List[object]

    do {
        $Page = Invoke-MgGraphRequest -Method GET -Uri $Uri -ErrorAction Stop
        foreach ($Item in $Page.value) {
            $Rows.Add([pscustomobject]@{
                Id = $Item.id
                DisplayName = $Item.displayName
                UserPrincipalName = $Item.userPrincipalName
                AccountEnabled = $Item.accountEnabled
            })
        }
        $Uri = $Page.'@odata.nextLink'
    } while ($Uri)

    if ($CsvPath) {
        $Rows | Export-Csv -Path $CsvPath -NoTypeInformation
    } else {
        $Rows
    }
}
catch {
    Write-Error "Script failed: $($_.Exception.Message)"
    throw
}
finally {
    Disconnect-MgGraph -ErrorAction SilentlyContinue | Out-Null
}

Output

Return the complete script in one fenced powershell block, followed by:

  • Required scopes.
  • What the script reads or changes.
  • How to run it with -WhatIf when destructive.
  • Any cmdlets that were verified or intentionally avoided.

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

Signals

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