llm-privacy

SKILLWorkflowCommunity
v0.0.0patrikherakMITAktualisiert vor 1 Mon.Quelle →

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
1Formate
vor 1 Mon.Letzte Aktualisierung
Skill
Autorpatrikherak
Version0.0.0
LizenzMIT
KategorieWorkflow
Formateskill.md
PromptNicht veröffentlicht
Kompatibilität
Claude✓ Unterstützt
Cursor
Copilot
ChatGPT
Gemini
Über

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

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