blue-team-detection
claudeDetection engineering and threat hunting: Sigma and YARA rules with SIEM translations, detection-as-code, and hypothesis-driven hunts mapped to MITRE ATT&CK.
2 skills · 2 commands · 2 agents
4
claude
privacy-engineering
Privacy engineering: privacy by design, GDPR data protection impact assessments, personal data flow mapping, and technical privacy controls.
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Plugin privacy-engineering from marketplace libre-secops in HermeticOrmus/LibreSecOps-Claude-Code. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (2)
data-protection-patternsTechnical patterns for anonymization, pseudonymization, field-level encryption, data minimization, consent management, and data subject request automation, with the difference between anonymous and pseudonymous data. Use when implementing privacy controls in code or data pipelines.
privacy-by-designThe seven Privacy by Design principles with software engineering practices for each, such as privacy requirements in specs, privacy-protective defaults, and separating identity from behavioral data. Use when designing features that handle personal data.
Slash commands (2)
/privacy-engineering:data-flow-mapMap personal data flows through a system: collection points, processing activities, storage locations, third-party sharing, cross-border transfers, and retention, as input to GDPR Article 30 records or a DPIA.
/privacy-engineering:privacy-reviewReview a system, feature, or architecture for privacy issues and produce findings grouped by privacy principle and applicable regulation (GDPR, CCPA, HIPAA).
Subagents (2)
dpia-analystUse this agent when a processing activity may need a GDPR Data Protection Impact Assessment: checking Article 35 triggers, scoping the DPIA, rating risks to data subjects, evaluating mitigations, and deciding on Article 36 consultation. It follows CNIL, ICO, and ISO 29134 methods; for privacy review
privacy-engineerUse this agent when reviewing a system, feature, or codebase for privacy: personal data classification, data minimization, anonymization versus pseudonymization, consent management, data subject rights, and retention. It applies privacy by design and LINDDUN threat modeling and recommends technical
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