About this skill
Replace real PII in a dataset with realistic synthetic equivalents while preserving row counts, column types, and statistical distributions. Detects names, emails, phones, SSNs, addresses, credit cards, and user-identifying columns via name heuristics + value patterns. Use this skill when the user wants to "anonymize this dataset", "scrub PII", "make this data safe to share", "de-identify real data", "create a synthetic copy", or needs a sharable version of production data without exposing individuals.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: b4012d8cd3ea280128ffa589f9bf802f9b30e8fc1ba2b25b1cc8be56e682dbe4
About this listing
- Category
- Science & research
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.