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genpark-agentic-zero-knowledge-pii-token-vault-masker-skill

genpark-agentic-zero-knowledge-pii-token-vault-masker-skill

Official
by Alpha-Park

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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables reversible anonymization of sensitive PII such as SSNs, credit cards, passport numbers, emails, and phone numbers before sending prompts to external LLMs, then restores original values locally using HMAC isolation.
      7
      -
    • A
      license
      B
      quality
      B
      maintenance
      Enables local grammar-preserving masking of sensitive content, entities, and code identifiers into synthetic tokens before sending prompts to LLMs, then restores the original text and symbols from responses using session-scoped in-memory mappings.
      5
      2
      Apache 2.0
    • A
      license
      B
      quality
      B
      maintenance
      Enables local, in-memory de-identification of PII, PHI, and credentials with deterministic reversible surrogate tokens before LLM transmission, then restores originals from volatile session mappings and audits for exposures without network egress or disk writes.
      5
      92 npm
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables local, in-memory sanitization of sensitive text before LLM ingestion by replacing PII, PHI, and credentials with deterministic reversible tokens, then restoring the originals in responses. It also audits content for exposed secrets and PII and provides compliance receipts without external network egress or disk writes.
      28 npm
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Strips personal data and credentials from text before it reaches a model, log, or ticket, using checksum-verified detection for cards, IBANs, routing numbers, SSNs, contact details, and API keys. Placeholders such as <EMAIL_1> can later be swapped back in so the model's response is restored with the original values.
      2 npm
      MIT