mukul975
278 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
mukul975pii-detection-pipeline
- Build automated PII detection and redaction pipelines using spaCy NER, Microsoft Presidio, and AWS Macie integration. Includes confidence scoring, custom entity type definitions, batch processing workflows, and multi-format document scanning for structured and unstructured data sources.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975pii-in-unstructured
- Detects PII in unstructured data including emails, documents, images, and logs using NER-based detection with spaCy and Microsoft Presidio, regex patterns, OCR integration, and confidence scoring. Keywords: PII detection, unstructured data, NER, spaCy, Presidio, OCR, regex, email scanning, document scanning.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975preparing-iso-31700-certification
- Preparation guide for ISO 31700 privacy by design for consumer goods certification. Covers the 30 requirements across design, production, and disposal phases. Includes gap assessment methodology, remediation planning, and mapping to GDPR Article 25 data protection by design obligations for consumer-facing products and services.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975prior-consultation-dpa
- Guides the Art. 36 prior consultation process when a DPIA indicates high residual risk that cannot be mitigated. Covers required documentation per Art. 36(3), the 8-week DPA response timeline, outcome management, and interaction protocols with supervisory authorities. Keywords: prior consultation, Art. 36, supervisory authority, DPA, high residual risk, DPIA escalation, consultation documentation.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975privacy-api-design
- Design privacy API patterns including data subject API for DSAR endpoints, consent API for preference management, deletion API with cascading delete orchestration, and audit API for compliance reporting. Provides OpenAPI specifications, error handling, rate limiting, and authentication patterns.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975privacy-data-sharing
- Build privacy-preserving data sharing platforms using synthetic data generation with the SDV library, data clean rooms, secure enclaves, and utility measurement. Covers end-to-end architecture for sharing analytical datasets while preserving individual privacy guarantees.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975privacy-law-gap-analysis
- Guides conducting privacy law gap analysis for market entry into new jurisdictions. Covers target jurisdiction assessment, existing compliance mapping, remediation effort estimation, and implementation timeline planning. Keywords: gap analysis, market entry, jurisdiction assessment, remediation planning, compliance mapping.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975privacy-law-monitoring
- Guides privacy law change monitoring and impact assessment for multi-jurisdiction organisations. Covers regulatory tracking sources, change classification, impact scoring methodology, and implementation prioritisation. Keywords: law monitoring, regulatory tracking, change management, impact assessment, implementation priority.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975privacy-metrics-dashboard
- Build privacy KPI dashboards tracking DSAR volume and response time, breach count and severity, DPIA completion rate, training coverage, and consent rates. Includes metric definitions, data collection patterns, visualization designs, and executive reporting templates for privacy program measurement.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975privacy-program-metrics
- Guides privacy program effectiveness measurement including leading and lagging indicators, KPI definition, benchmarking methodology, executive reporting formats, board-level privacy dashboards, and metric-driven program improvement. Covers operational, compliance, risk, and strategic privacy metrics across the program lifecycle. Keywords: privacy metrics, KPIs, benchmarking, executive reporting, dashboard, program effectiveness.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975privacy-record-linkage
- Implement privacy-preserving record linkage across datasets using Bloom filter encoding, secure hash matching, threshold tuning for precision and recall, and false positive management. Enables entity resolution without exposing raw personally identifiable information between parties.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975privacy-threshold-analysis
- Guides the Privacy Threshold Analysis screening process to determine whether a full DPIA is required. Provides a quick-screen questionnaire, threshold criteria based on WP248rev.01, escalation triggers, and documentation requirements. Activate when evaluating new processing activities, system changes, or procurement decisions. Keywords: PTA, privacy threshold analysis, DPIA screening, quick-screen, threshold criteria, WP248, escalation triggers.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975processor-ropa-creation
- Creates GDPR Article 30(2) Records of Processing Activities for data processors with all four mandatory fields: processor and controller names and contact details, categories of processing, third country transfers, and security measures description. Activate for processor RoPA, Art. 30(2), processor records, sub-processor documentation.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975pseudo-vs-anon-data
- Classifies data as pseudonymised or anonymised using Recital 26 reasonably likely test, Breyer ruling C-582/14, motivated intruder test, and WP29 Opinion 05/2014 on anonymisation techniques. Covers singling out, linkability, and inference tests. Keywords: pseudonymisation, anonymisation, Recital 26, re-identification, k-anonymity, differential privacy, WP29 Opinion 05/2014.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975pseudonymization-risk
- Assessment of pseudonymization techniques and re-identification risk. Covers tokenization, hashing, encryption-based pseudonymization, and hybrid approaches. Includes re-identification risk scoring using the motivated intruder test, quantitative metrics (marketer, journalist, prosecutor models), and linkage attack resilience evaluation. References ENISA 2019 pseudonymization report.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975purpose-based-access
- Design and implement Purpose-Based Access Control (PBAC) architecture including purpose ontology definition, policy engine configuration, audit logging of purpose verification at query time, and integration with existing IAM systems. Enforces GDPR Article 5(1)(b) purpose limitation technically.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975regulatory-complaints
- Manages responses to regulatory complaints lodged with supervisory authorities under GDPR Article 77, covering internal escalation procedures, DPA response coordination, remediation tracking, and compliance documentation. Activate for regulatory complaint, supervisory authority complaint, Art. 77, DPA response, ICO complaint queries.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975remote-work-monitoring
- Establishes boundaries for monitoring remote and hybrid workers including screen capture, productivity tracking, camera and microphone activation, attendance verification, and activity logging. Applies proportionality principles, transparency requirements, and evaluates less intrusive alternatives per EDPB and national DPA guidance. Keywords: remote work, monitoring, screen capture, productivity tracking, webcam, home office, hybrid work, proportionality, surveillance.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975retention-exception-mgmt
- Manages retention exception workflows including request-approval processes, duration limits, periodic review cycles, documentation requirements, and audit trail maintenance. Covers legitimate grounds for extending retention beyond scheduled periods and governance controls to prevent indefinite data hoarding. Activate for retention exception, retention extension, data hoarding prevention, retention override queries.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975retention-impact-assess
- Conducts retention impact assessments for new processing activities to determine appropriate data retention periods. Covers regulatory requirements scanning, proportionality review, purpose-based retention determination, and retention period documentation aligned with GDPR Article 5(1)(e) and Article 25 data protection by design. Activate for retention assessment, new processing retention, retention period determination queries.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975retention-schedule
- Designs and implements data retention schedules compliant with GDPR Article 5(1)(e) storage limitation principle. Maps data categories to retention periods with legal basis justification, regulatory minimum holding periods, and automated review triggers for schedule maintenance. Activate for retention policy, storage limitation, data lifecycle, retention period queries.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975right-to-erasure
- Implements the GDPR Article 17 right to erasure (right to be forgotten) workflow, covering all six grounds for erasure, five exceptions, technical deletion versus anonymization decisions, and third-party notification under Article 19. Activate for erasure request, deletion request, right to be forgotten, Art. 17 queries.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975right-to-object
- Handles GDPR Article 21 right to object to processing, including compelling legitimate grounds assessment, ceasing processing obligations, documentation requirements, and the relationship with erasure under Article 17(1)(c). Activate for right to object, Art. 21, objection to processing, legitimate interest queries.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars
mukul975right-to-rectification
- Processes GDPR Article 16 right to rectification requests, covering verification of corrected data accuracy, notification to recipients under Article 19, timeline management, and completion of incomplete data. Activate for rectification, correction request, inaccurate data, Art. 16, data correction queries.
- installations
- 1
- GitHub Stars
- 295
- Mis à jour
- 16 mars