Scrub Dataset
/ScrubDatasetTry it in
When to reach for this
Checking your own security posture before someone else does.
- Reviewing configuration, permissions or exposed secrets
- Writing a threat model for a system you are building
- Understanding a vulnerability notice and what to do about it
- Area
- Privacy
- Effort
- No blanks to fill
- Difficulty
- medium
- Niche
- 7 commands here
Closest commands in the same niche
Fresh and trending
Ordered by the catalogue's own addedAt and popularity fields — not by live traffic, which SlashAI never sees. Some addedAt values in the source data sit in the future, so treat “newest” as newest-in-catalogue rather than as a verified publication date.
Hashtags
What it does
Remove personal identifiers from a dataset — e.g. a 50,000-row customer export with names, emails and order history.
How to use
Start from a dataset such as a 50,000-row customer export with names, emails and order history. Paste the text or file and specify which identifier types to remove. The result is a cleaned version with identifiers replaced by consistent placeholders.
Example
/ScrubDataset Dataset: a 50,000-row customer export with names, emails and order history Notes: Paste the text or file and specify which identifier types to remove. Output: a cleaned version with identifiers replaced by consistent placeholders
Run it in
Paste the command, then attach the file or text on the same message - it handles mixed input well.
How did this land?
Only you see this — stored on this devicePaste this command into your AI tool, then come back and say how it went. Your answer stays in this browser — SlashAI has no server and no account, so there is nothing to send it to and nobody who would read it.
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/ScrubVendor
Remove personal identifiers from a vendor relationship — e.g. a third-party analytics vendor with access to user event data.
/ScrubApp
Remove personal identifiers from an application — e.g. a Node.js API service handling payment webhooks.