Detect real PII and customer-confidential data in code changes, logs, and telemetry.
npx skills add https://github.com/gmcabrita/dotfiles --skill wrdn-pii-gmcabrita
Please help me install this Agent Skill. Skill: wrdn-pii Source: https://github.com/gmcabrita/dotfiles/tree/main/.agents/skills/wrdn-pii Command: npx skills add https://github.com/gmcabrita/dotfiles --skill wrdn-pii-gmcabrita
Identifies real PII and customer-confidential data that leaks into code changes, fixtures, docs, logs, or telemetry.
Analyze the most recent diff to locate and redact any real customer data before review.
High-intent search queries and answers about installing and using this skill.
To detect real PII in code changes and logs, you analyze source files, test fixtures, and telemetry to identify actual emails or customer slugs while excluding placeholders and synthetic data.
PII detection distinguishes fake data from real data by enforcing a trace-first evaluation that requires a concrete data class and a defined exposure sink, actively excluding author metadata, placeholders, and synthetic data to reduce false positives.
Scanning pull request diffs for sensitive data exposure involves analyzing the most recent code changes to locate and redact any real customer data, checking source files, configuration, documentation, and API responses.
Yes, you can apply automated redaction to API responses and telemetry by identifying real PII and customer-confidential data, requiring a concrete data class and a defined exposure sink for accurate detection.
Yes, PII detection in source files works for revenue data and customer slugs by evaluating code changes, configuration, and documentation to locate real identifiers exposed in defined sinks.
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