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User Detection & Session Context Reviewer
Review macOS admin scripts for reliable current-user detection and safe session-context handling.
$14.99
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See it in action
You say
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.
Your agent does
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.
What you get
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.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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