Babysitter pii-redaction
PII detection and redaction utilities for privacy-compliant conversational AI
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/ai-agents-conversational/skills/pii-redaction" ~/.claude/skills/a5c-ai-babysitter-pii-redaction && rm -rf "$T"
manifest:
library/specializations/ai-agents-conversational/skills/pii-redaction/SKILL.mdsource content
PII Redaction Skill
Capabilities
- Detect personally identifiable information
- Implement redaction strategies
- Configure detection for various PII types
- Design reversible anonymization
- Implement compliance logging
- Create audit trails for PII handling
Target Processes
- content-moderation-safety
- system-prompt-guardrails
Implementation Details
PII Types
- Names: Person names, usernames
- Contact: Email, phone, address
- Financial: Credit cards, bank accounts
- Government IDs: SSN, passport, driver's license
- Medical: Health information
- Custom: Organization-specific PII
Redaction Methods
- Masking ([REDACTED])
- Pseudonymization (fake values)
- Tokenization (reversible)
- Encryption
Configuration Options
- PII types to detect
- Detection sensitivity
- Redaction method
- Language support
- Custom patterns
Best Practices
- Comprehensive PII coverage
- Regular pattern updates
- Audit logging
- Compliance alignment
- Testing with diverse data
Dependencies
- presidio-analyzer
- presidio-anonymizer
- spacy