Detect and mask PII in text and CSV files using pandas and faker.
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill data-anonymizer
Please help me install this Agent Skill. Skill: data-anonymizer Source: https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/data-anonymizer Command: npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill data-anonymizer
This Skill safeguards sensitive information by detecting and masking Personally Identifiable Information (PII) in text and CSV files, ensuring data privacy and compliance.
Use the data-anonymizer skill to mask PII in the provided text.
High-intent search queries and answers about installing and using this skill.
Mask PII in a CSV file for data privacy by using this skill to automatically detect names, emails, and SSNs, then apply redaction, hashing, or fake data replacement strategies directly to specific dataset columns.
Anonymizing customer support logs containing text and PII involves detecting sensitive details like names and phone numbers, then applying hashing or redaction strategies to ensure the exported data remains safe and compliant.
Yes, you can replace real PII with realistic fake data for database testing by utilizing the faker library integration, which generates plausible replacement values for sensitive columns while maintaining dataset structure.
Reversible tokenization allows de-anonymization of masked data later by generating a secure token map during the initial masking process, enabling authorized users to restore the original PII when necessary.
Available masking strategies for protecting sensitive text files include complete redaction of PII, cryptographic hashing of values, and substitution with synthetically generated fake data, providing flexible compliance options.
You need pandas to process large datasets for column-specific anonymization because this skill relies on the framework to efficiently manipulate CSV files, isolate specific columns, and apply targeted PII masking strategies.
diShine-digital-agencyDetect and anonymize PII in CSV or tabular datasets before LLM ingestion.
silversteinProcess and analyze out-of-core tabular datasets with lazy DataFrames.
pacphiGenerate synthetic privacy-preserving test data with faker libraries.
jorgealvesDetects and redacts PII from text data with configurable styles.
