llm-privacy

SKILLWorkflowcommunity
v0.0.0patrikherakMITUpdated 26d agoSource →

Reversible PII tokenization for working with sensitive data. Masks personal data (emails, phones, IBANs, cards, national IDs, tagged names/addresses) behind stable placeholder tokens BEFORE text enters model context, and restores the real values in the final output — deterministic code, no ML, no ne

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1Clients
1Formats
26d agoLast update
Skill
Authorpatrikherak
Version0.0.0
LicenseMIT
CategoryWorkflow
Formatsskill.md
PromptNot published
Compatibility
Claude✓ Supported
Cursor
Copilot
ChatGPT
Gemini
About

Reversible PII tokenization for working with sensitive data. Masks personal data (emails, phones, IBANs, cards, national IDs, tagged names/addresses) behind stable placeholder tokens BEFORE text enters model context, and restores the real values in the final output — deterministic code, no ML, no network. Use when reading, querying, or processing data that contains (or may contain) personal inform

Keywords
skillclaude