llm-privacy

SKILLWorkflowcommunauté
v0.0.0patrikherakMITMis à jour il y a 1 moisSource →

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
il y a 1 moisDernière mise à jour
Skill
Auteurpatrikherak
Version0.0.0
LicenceMIT
CatégorieWorkflow
Formatsskill.md
PromptNon publié
Compatibilité
Claude✓ Pris en charge
Cursor
Copilot
ChatGPT
Gemini
À propos

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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