Loop/Prompt Library / Loops from builders on X
๐ Nightly safety check of your agent's computer
Because your AI agent has wide access, it runs a read-only safety check of its own computer every night and sends you the report.
Use it when: You run an AI agent on a computer or server it has a lot of control over.
๐ Stops when: Tonight's report is delivered. Nothing is changed without you.
Copy this loop
Each night at [time], run a read-only safety check on this machine: 1) unknown users or logins in the last 24 hours, 2) open network ports and whether the firewall is on, 3) pending security updates, 4) known security holes in installed packages (use [audit tool]), 5) any new startup items or scheduled jobs. Once a week, add a full virus scan with [tool]. Write the results to [reports folder] with today's date, and send me a short summary: OK, Warning, or Problem, with the details. Never change settings, delete files, or install anything; suggest fixes for me to approve. Stop after the report, or after [60] minutes.
Review every change the agent makes before you keep it. Set a budget or round limit โ the prompt includes one.
Found on X ยท by @ambushalgorithm. Prompt rewritten in plain English by FixKit AI.
More loops like this
One useful thing every night
You give the AI a short mission, and each night it picks one task that moves you closer and leaves it for you to check in the morning.
Two watchers keep your agent healthy
Two separate AI helpers read your main agent's logs, find what broke, and must both agree on a fix before it is used.
Weekly skill cleanup
Once a week, the AI grades every saved skill or saved prompt it uses, removes the dead ones, and merges the repeats.
Overnight drafts that learn from results
Each night the AI drafts tomorrow's post from your content plan, and reads your notes about what worked before it writes the next one.
Split the work, keep only what passes
Splits a big job across several AI helpers working side by side, checks each one's work, and keeps only the work that passes.
Practice a website task until it's reliable
The AI tries a website chore, learns from each failed try, and keeps adjusting until it has steps that work every time.
