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    User Detection & Session Context Reviewer

    User Detection & Session Context Reviewer

    by LB Creations

    Review macOS admin scripts for reliable current-user detection and safe session-context handling.

    Updated Jun 2026
    Security scanned
    Codex CLI

    $14.99

    · or 75 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Fix failing user-detection logic in Jamf Pro or Kandji scripts.
    • Ensure UI prompts appear correctly across Fast User Switching sessions.
    • terminal automation included
    • Ready for Codex CLI
    • Instant install

    Sample input

    Review this Jamf check-in script that uses $3 to identify the user and tell me if the UI prompt will work reliably during background runs.

    Sample output

    Context Review:

    • Issue: Script uses static Jamf $3 which is empty during check-in policies.
    • Fix: Implement 'stat -f %Su /dev/console' with a loginwindow check.
    • Risk: UI prompt will hang if no user is logged in.
    • Test: Verify behavior during Fast User Switching and Setup Assistant.

    Screenshots

    About This Skill

    Defensive review for macOS current-user logic

    User Detection & Session Context Reviewer reviews Jamf, Kandji, and Iru scripts that need to identify the logged-in user or show a user-facing prompt.

    What it checks

    • Current-user patterns such as stat -f %Su /dev/console, scutil, Jamf $3, and related approaches.
    • Root execution versus user UI context, including launchctl asuser.
    • Loginwindow, logout, setup assistant, Fast User Switching, and stale-user edge cases.
    • Prompt patterns that avoid logs, process listings, and persistent files.
    • Jamf, Kandji, and Iru workflow differences.

    Boundaries

    This is a defensive admin-review skill. Use redacted or synthetic examples. It does not collect, validate, store, transmit, or request real passwords, tokens, recovery keys, or private tenant values.

    Output

    You get a context-readiness verdict, edge-case notes, safer detection and prompt patterns, validation checklist, and open questions for local policy or vendor documentation.

    Use Cases

    • Fix failing user-detection logic in Jamf Pro or Kandji scripts.
    • Ensure UI prompts appear correctly across Fast User Switching sessions.
    • Prepare management scripts for multi-user and Setup Assistant edge cases.
    • Generate validation checklists for macOS script production rollouts.

    Reviews

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell

    Tags

    devops
    jamf
    macos
    shell-scripting
    sysadmin

    No runtime dependencies. Works with SKILL.md-compatible agents including Claude Code, Codex CLI, Cursor, VS Code Copilot, Gemini CLI, and OpenClaw. Best results require redacted script snippets, launch method, target macOS versions, MDM platform, and intended user-facing behavior.

    Creator

    LB Creations

    LB designs and builds autonomous AI systems optimized for local deployment. Specializing in distributed inference fleets, multi-model orchestration, and agent-native tooling, everything runs on your hardware, zero API fees.

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