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privacy-engineering-skills
Implement privacy engineering workflows to detect and redact PII in documents, apply NIST Privacy Framework functions for governance and risk management, deploy differential privacy mechanisms, conduct threat modeling, design privacy-preserving APIs and data sharing, manage consents, and track privacy metrics via dashboards.
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npx claudepluginhub mukul975/privacy-data-protection-skills --plugin privacy-engineering-skillsPopularity
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Med: 0·Avg: 267
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Med: 0·Avg: 1
What's Inside
Skills14
consent-receipt-spec
/consent-receipt-spec
Implement the Kantara Initiative consent receipt specification including machine-readable receipt structure, JWT-based verification mechanisms, receipt lifecycle management, and integration patterns for consent management platforms. Supports ISO/IEC 27560 consent record information structure.
differential-privacy-prod
/differential-privacy-prod
Deploy differential privacy in production systems including epsilon selection strategies, noise calibration with Laplace and Gaussian mechanisms, privacy budget tracking, composition theorems, and Python implementation patterns. Covers both central and local differential privacy models.
linddun-threat-model
/linddun-threat-model
Conduct LINDDUN privacy threat modeling across all seven categories: Linking, Identifying, Non-repudiation, Detecting, Data Disclosure, Unawareness, and Non-compliance. Includes DFD-based analysis, threat trees, privacy-specific mitigation strategies, and integration with STRIDE security threat modeling.
nist-pf-communicate
/nist-pf-communicate
Implement the NIST Privacy Framework COMMUNICATE function covering CM.AW awareness raising and CM.PO communication policies. Provides transparency mechanisms, stakeholder engagement frameworks, privacy notice templates, and communication workflow guidance.
nist-pf-control
/nist-pf-control
Implement the NIST Privacy Framework CONTROL function covering CT.DM data management, CT.DP data processing policies and procedures, and CT.PO disassociated processing. Provides technical control architectures, data management workflows, and de-identification implementation guidance.
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Version1.0.0
Released
LanguagePython
Stars86
Forks17
MaintenanceGood
LicenseApache-2.0
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