Detects and redacts PII from text data with configurable styles.
npx skills add https://github.com/jorgealves/agent_skills --skill pii-sanitizer
Please help me install this Agent Skill. Skill: pii-sanitizer Source: https://github.com/jorgealves/agent_skills/tree/main/pii-sanitizer Command: npx skills add https://github.com/jorgealves/agent_skills --skill pii-sanitizer
This Skill detects and redacts Personally Identifiable Information (PII) from datasets, logs, or conversations to help comply with privacy regulations (GDPR/CCPA) and prevent leakage of sensitive data.
Use the pii-sanitizer to redact emails and phone numbers from the provided text or logs.
High-intent search queries and answers about installing and using this skill.
To redact PII from logs for GDPR and CCPA compliance, this Skill detects sensitive information using regex and NLP, then applies masking, replacement, or hashing without storing the original data.
Anonymizing customer communications in-memory is achieved through zero-retention processing, which redacts PII like emails and phone numbers locally so the input text is never stored or sent externally.
You can configure specific PII types for dataset sanitization and select from flexible redaction styles such as mask, replace, or hash to preserve the original data structure while hiding sensitive values.
In-memory PII detection effectively scrubs credit cards and addresses from messages by applying NLP-based approaches and regex to identify common formats and redact them instantly.
A limitation of regex and NLP-based PII redaction for analytics data is that it relies on recognizing common formats, meaning highly unstructured or non-standard sensitive data might not be fully detected or scrubbed.
You need a PII sanitizer for data preparation when sanitizing datasets, scrubbing logs, or anonymizing customer communications to prevent sensitive data leakage before processing or sharing.
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