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LinkedIn inbox management with scheduled scanning, auto-draft responses following user's communication style, and approval workflows.
Passed 15 of 20 test cases with the skill, and 4 of 20 without it.
and 12 more in the full report
12 fixed4 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am setting up permissions for local CLI browser automation. I usually verify pages by saving unannotated screenshots to /tmp/screen.png. What specific peekaboo command sequence verifies Chrome accessibility and produces an annotated check file at /tmp/linkedin-check.png?
| Checked | Without skill | With skill |
|---|---|---|
| Includes the --annotate flag in the peekaboo see command. | Missed | Passed |
| Specifies the destination path as /tmp/linkedin-check.png. | Passed | Passed |
The instructions your model reads when the skill loads.
Automated LinkedIn inbox monitoring with human-in-the-loop approval for responses. Uses Peekaboo for UI automation (no API rate limits, works with any LinkedIn account).
brew install steipete/tap/peekaboo)# Grant Peekaboo permissions
peekaboo permissions
# Verify LinkedIn is accessible
peekaboo app launch "Google Chrome"
peekaboo see --app "Google Chrome" --annotate --path /tmp/linkedin-check.png
Create linkedin-inbox-config.json in your workspace:
{
"scan": {
"intervalMinutes": 60,
"activeHours": { "start": 9, "end": 18, "timezone": "America/Los_Angeles" },
"skipWeekends": true
},
"drafting": {
"styleProfile": "USER.md",
"templates": {
"decline": "Thanks for reaching out. Not a fit for us right now, but best of luck.",
"interested": "This looks interesting. Happy to chat more. What's your availability?",
"referral": "I might know someone. Let me check and get back to you."
}
},
test cases passed, vs 4 / 20 without
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