privacy-standards

Privacy planning reference for data-flow reasoning, standards mapping, and DPIA thresholds

npx skills add https://github.com/microsoft/hve-core --skill privacy-standards

Privacy Standards Skill

This skill is the reusable privacy reference package for the Privacy Planner and Privacy Reviewer. It consolidates the privacy standards backbone, the core data-flow and classification heuristics, and the DPIA threshold logic needed to keep privacy reviews focused on workflow, evidence, and implementation readiness.

[!NOTE] This skill is a planning aid, not legal advice. Its standards summaries support privacy reasoning and review preparation; they do not substitute for qualified legal counsel or a formal regulatory interpretation.

Attribution and licensing posture

  • NIST Privacy Framework and NISTIR 8062 are U.S. Government documents and are referenced here with attribution as public-domain reference material. Public-domain material carries no license obligation, so it adds no term to the package license expression.
  • GDPR and CCPA/CPRA content is paraphrased and attributed rather than quoted verbatim, consistent with the repository's open legal-text posture. The paraphrase is this repository's own expression.
  • OWASP privacy-risk material is adapted from the OWASP Top 10 Privacy Risks project, which is licensed CC BY-SA 3.0. ShareAlike propagates to that derivative, so it is the one file carrying a copyleft term.

The frontmatter expression is the conjunction of every license present in the package. The table states which license governs each file.

PathLicenseOrigin
references/owasp-top-10-privacy-risks.mdCC-BY-SA-3.0Adapted from OWASP Top 10 Privacy Risks v2.0 (CC BY-SA 3.0)
references/nist-privacy-framework.mdCC-BY-4.0Adapted from NIST Privacy Framework v1.0 (public domain)
references/nistir-8062.mdCC-BY-4.0Adapted from NISTIR 8062 (public domain)
references/gdpr.mdCC-BY-4.0Paraphrase of GDPR, not reproduced
references/ccpa-cpra.mdCC-BY-4.0Paraphrase of CCPA/CPRA, not reproduced
references/dpia-thresholds.mdCC-BY-4.0Repository-original planning synthesis
references/data-governance-controls.mdCC-BY-4.0Repository-original planning synthesis
SKILL.md and remaining package contentCC-BY-4.0Repository-original

Framework index

Privacy planning heuristics

  • Start with a data inventory and map the personal data lifecycle: collection, transfer, storage, use, sharing, retention, and deletion.
  • Separate the data categories from the processing purpose so the planner or reviewer can assess necessity, proportionality, and appropriate control selection.
  • Identify whether the workflow involves sensitive data, automated decision-making, profiling, or cross-organization sharing, because these conditions often trigger a deeper review.
  • Track the evidence trail for each privacy decision so the handoff can include the standards references, the supporting rationale, and the review context.

Citation-field vocabulary

Use these fields when capturing a finding, control, or risk so the reviewer can assert a stable source-control reference:

  • gdpr_article
  • ccpa_section
  • nist_pf_category
  • nistir8062_objective
  • owasp_privacy_id

Phase-to-framework mapping

Privacy phasePrimary standards packageNotes
Phase 1 CaptureNIST Privacy Framework + GDPRContext, scope, and legal basis framing
Phase 2 Data MappingNIST Privacy Framework + NISTIR 8062Data inventory, purpose, and minimization reasoning
Phase 3 Risk and DPIAGDPR + CCPA/CPRA + NISTIR 8062DPIA triggers, risk analysis, and proportionality
Phase 4 ControlsNIST Privacy Framework + OWASP Privacy RisksControls for collection, use, sharing, and retention
Phase 5 ImpactGDPR + CCPA/CPRA + OWASP Privacy RisksPotential harm, mitigation, and monitoring
Phase 6 HandoffAll sourcesEvidence handoff, review notes, and action tracking

Open-standards catalog

Use the links below as the reference catalog for open privacy standards and governance resources. Treat the material as planning and review guidance rather than a substitute for legal advice or formal regulatory interpretation.

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