privacy-protectorRuns PII anonymization, local de-anonymization, and deterministic local detector checks for text and supported files. Use for redact/restore flows, file-firs...
Install via ClawdBot CLI:
clawdbot install modeioai/privacy-protectorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/mode-io/mode-io-skills/tree/main/privacy-protectorAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Anonymizes patient records in medical documents like PDFs or DOCX files to remove PII such as names, emails, and phone numbers before sharing for research. Uses the lite level for local processing to ensure compliance with HIPAA without external API calls, with optional tuning via allowlists to preserve necessary identifiers.
Redacts sensitive information from legal contracts or case files in formats like PDF and DOCX to protect client confidentiality. Employs the anonymize command with saved maps for later restoration, enabling secure sharing while maintaining the ability to revert changes internally as needed.
Processes support ticket logs in TXT or CSV formats to anonymize customer PII like email addresses and phone numbers before analysis. Uses the local detector with blocklists to flag specific terms, allowing teams to review data for insights without exposing personal details.
Anonymizes financial reports in JSON or XML files to remove account numbers and contact information before external audits. Leverages crossborder level with sender and recipient codes for international compliance, ensuring data meets regulatory standards across jurisdictions.
Prepares research datasets in CSV or YAML formats by anonymizing participant identifiers to protect privacy while enabling data sharing. Utilizes the tune command with thresholds files to adjust detection sensitivity, balancing data utility with ethical research practices.
Offers the skill as a cloud-based service with tiered pricing based on usage levels (e.g., lite for local, dynamic/strict/crossborder for API calls). Revenue is generated through monthly subscriptions, targeting businesses needing scalable PII protection without infrastructure management.
Sells perpetual licenses for on-premise deployment, allowing organizations to run the skill locally with full control over data. Revenue comes from one-time license fees and optional support contracts, appealing to industries with strict data sovereignty requirements like healthcare or government.
Provides consulting services to integrate and customize the skill for specific client needs, such as tuning detectors or developing custom workflows. Revenue is generated through project-based fees and ongoing maintenance contracts, targeting enterprises with complex privacy compliance demands.
💬 Integration Tip
Ensure Python3 is installed and set environment variables like MODEIO_REDACT_MAP_DIR for custom map storage; use the --json flag for reliable machine-readable outputs in automated pipelines.
Scored Apr 19, 2026
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