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Privacy By Design

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From the author

Privacy by Design (PbD) knowledge base for assessing proactive privacy practices against the 7 Foundation Principles, with data retention and disposal lifecycle checks and cross-jurisdictional mappings (GDPR, CCPA, APP).
— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The Privacy by Design (PbD) skill provides a comprehensive knowledge base and assessment protocol for evaluating software systems against the 7 Foundation Principles established by Dr. Ann Cavoukian. It enables users to conduct proactive privacy reviews, identify deficiencies, and map findings to regulatory requirements including GDPR, CCPA/CPRA, and Australian Privacy Principles. The skill includes structured checklists, implementation patterns, and a finding schema to ensure consistent, evidence-based privacy assessments across the development lifecycle.

What it does

  • Assesses system designs against the 7 Foundation Principles of Privacy by Design.
  • Provides a structured protocol for conducting privacy impact assessments.
  • Maps privacy findings to GDPR, CCPA/CPRA, and Australian Privacy Principles.
  • Evaluates data retention, disposal, and lifecycle management practices.
  • Identifies privacy-related anti-patterns in architecture and configuration.
  • Generates actionable remediation items for identified privacy deficiencies.

When to use it

  • During the design phase of a new system or feature involving personal data.
  • When performing a proactive privacy audit to identify potential compliance gaps.
  • To verify that privacy controls are embedded into the architecture rather than added post-deployment.
  • When establishing data retention and disposal schedules for sensitive information.
  • To generate structured privacy assessment reports for stakeholders.

Advantages

  • Promotes a proactive, preventative approach to privacy rather than reactive compliance.
  • Standardizes privacy assessments using a clear, evidence-based schema.
  • Facilitates cross-jurisdictional compliance mapping.
  • Integrates privacy considerations directly into the software development lifecycle.
  • Provides clear, actionable remediation guidance for identified risks.

Usage examples

“Assess our new user registration flow against the 7 Privacy by Design principles.”
The agent will walk through each of the 7 principles, checking for proactive design, default privacy settings, and end-to-end security, ultimately providing a compliance verdict and specific remediation steps.
“Check our data retention policy for compliance with PbD-05.”
The agent will evaluate the current retention and disposal lifecycle against Principle 05, identifying gaps in data minimization or legal hold procedures and suggesting improvements.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/microsoft/privacy-by-design/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip privacy-by-design.zip -d .agents/skills

Documentation by Microsoft

Privacy by Design

This SKILL.md is the entrypoint for the Privacy by Design skill.

The skill provides structured assessment references for the 7 Foundation Principles of Privacy by Design (Cavoukian, 2009). Consumers that explicitly load it can assess privacy practices across the software lifecycle. It complements privacy-standards with principle-level criteria, retention and disposal checks, regulatory mappings, a finding schema and implementation patterns. Current agent wiring is described under Integration below.

[!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.

Goal

Produce an evidence-based assessment against the 7 PbD Foundation Principles, with per-principle verdicts, explicit evidence gaps, deficiency severity, and remediation for established deficiencies. Assessment labels describe this planning rubric, not legal certification.

Success criteria

  • All 7 principles have a verdict, evidence completeness, and severity (N/A when no deficiency is established).

  • Each FAIL or PARTIAL finding includes a specific, actionable remediation.

  • Findings use the structured schema defined in finding-schema.md.

  • Cross-jurisdictional obligations are identified for the applicable regulatory scope.

  • Retention and disposal are assessed for any system that stores personal data.

  • An overall assessment verdict (COMPLIANT / PARTIALLY_COMPLIANT / NON_COMPLIANT / INCOMPLETE) is determined without treating missing evidence as a failed control.

  • Finding, principle, checklist and severity counts reconcile under the finding schema.

When to use this skill

Use when you need to:

  • Assess a system, feature, or data flow against the 7 PbD Foundation Principles

  • Verify that privacy is embedded proactively (not bolted on after incidents)

  • Check data retention schedules, disposal methods, and legal hold procedures

  • Map privacy requirements across GDPR Art. 25, CCPA/CPRA, and Australian Privacy Principles

  • Generate per-principle PASS/PARTIAL/FAIL/INSUFFICIENT_EVIDENCE results with evidence-backed severity

  • Identify code-level and configuration-level privacy patterns or anti-patterns

  • Produce backlog items from privacy assessment findings

Do not use for:

  • General privacy standards mapping without principle assessment (use privacy-standards)

  • Security threat modeling (use security-planning or OWASP skills)

  • RAI assessment (use rai-planner)

  • Legal advice or regulatory compliance certification

Stop rules

  • Stop the assessment if the system boundary cannot be established.

  • Stop and escalate if processing occurs in a jurisdiction not covered by this skill's mappings.

  • Do not fabricate evidence; record INSUFFICIENT_EVIDENCE and the evidence needed. Continue supported checks without inventing deficiency remediation for unknowns.

  • Do not provide legal opinions; frame all findings as planning guidance requiring qualified review.

  • Do not duplicate security findings that the security-planning skill already covers; cross-reference them.

Normative references (PbD 7 Foundation Principles)

  1. 00 Principle Index

  2. 01 Proactive Not Reactive

  3. 02 Privacy as the Default

  4. 03 Privacy Embedded into Design

  5. 04 Full Functionality

  6. 05 End-to-End Security

  7. 06 Visibility and Transparency

  8. 07 Respect for User Privacy

Operational references

Supplementary references

Skill layout

  • SKILL.md — this file (skill entrypoint).

  • references/ — the PbD normative documents, operational guides, and supplementary material.

    • 00-principle-index.md — index of all principle identifiers, categories, source mappings, and cross-references.

    • 01 through 07 — one document per PbD Foundation Principle with checklist, controls, anti-patterns, and regulatory mappings.

    • assessment-protocol.md — phased assessment protocol for agents conducting PbD reviews.

    • finding-schema.md — YAML-based finding and summary schema for structured output.

    • implementation-patterns.md — code-level and configuration-level patterns agents can verify.

    • data-retention-and-disposal.md — Principle 05 deep-dive: retention schedules, disposal methods, legal holds.

    • cross-jurisdictional-mapping.md — regulatory equivalence matrix across GDPR, CCPA/CPRA, and APP.

    • industry-privacy-profiles.md — telco, healthcare, financial sector profiles with .pbd-config.yml customization schema.

Citation-field vocabulary

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

  • pbd_principle: Principle number (1–7) with short name, e.g., PbD-01 Proactive Not Reactive

  • gdpr_article: GDPR article reference, e.g., Art. 25

  • app_principle: Australian Privacy Principle number, e.g., APP 1

  • ccpa_section: CCPA/CPRA section reference

Finding severity conventions

SeverityMeaning
CRITICALEstablished deficiency with severe direct risk, or FAIL under an effective CRITICAL industry priority
HIGHPrinciple is violated with direct risk to data subjects
MEDIUMPrinciple is partially met; gaps exist that could lead to non-compliance
LOWMinor gap; principle intent is largely met but documentation or controls could improve
N/ANo deficiency established, including PASS and unknown-only results

Data sensitivity informs the impact of a proven deficiency; it does not create one. Preserve CRITICAL in records and summaries. CRITICAL and HIGH map to P1, with CRITICAL ordered first; MEDIUM maps to P2 and LOW to P3. PASS and unknown-only results do not create remediation backlog items.

Finding verdict conventions

VerdictMeaning
PASSAll applicable checks are MET, with no unresolved evidence or anti-patterns
PARTIALA deficiency is established but the FAIL threshold is not met
FAILMore than half of applicable checks are NOT MET, or an uncompensated critical anti-pattern is established
INSUFFICIENT_EVIDENCENo deficiency established, but unknown evidence or zero applicable checks prevents PASS

Apply the ordered rules in the assessment protocol. Record evidence completeness independently so a proven deficiency is not hidden by unknown checks. Suppressions require a documented applicability reason and do not count as MET.

Overall assessment verdicts

VerdictCondition
NON_COMPLIANTOne or more principles are FAIL; retain any evidence gaps separately
INCOMPLETENo FAIL, but any principle or applicable retention/jurisdiction check has incomplete evidence
PARTIALLY_COMPLIANTComplete evidence, no FAIL, and at least one PARTIAL
COMPLIANTComplete evidence and all 7 principles PASS

Evaluate these rows in order. Never use null for a verdict or interpret an unknown jurisdictional baseline as met or failed.

Integration with Privacy Planner and Reviewer

This skill complements privacy-standards (which provides the NIST PF, GDPR, CCPA, OWASP backbone). A consumer performing PbD assessment should explicitly load both:

  • privacy-standards — standards mapping, data-flow reasoning, DPIA thresholds

  • privacy-by-design — principle-level assessment, retention/disposal checks, cross-jurisdictional equivalence, implementation pattern verification

The current Privacy Planner and Privacy Reviewer do not explicitly load privacy-by-design. This skill supplies assessment knowledge, not automatic integration; dedicated agent wiring is outside this skill change. It remains background-only (user-invocable: false).

Interaction with other skills

SkillRelationship
privacy-standardsProvides data inventory, DPIA thresholds, and standards backbone; PbD builds on top
security-planningSecurity controls overlap with PbD-05; reference rather than duplicate
rai-plannerRAI data-use concerns feed into PbD-04 (full functionality) and PbD-07 (user respect)
secure-by-designSBD-11 (Secure Deprecation) aligns with PbD-05 lifecycle; cross-reference for decommissioning

Attribution and licensing posture

SKILL.md and references/ contain original assessment guidance and paraphrased summaries under CC BY 4.0. The cited publications remain authoritative and retain their own rights; this license does not relicense upstream text. Principle names and legal identifiers are preserved for traceability. No upstream document is reproduced or bundled.

Cavoukian PbD Foundation Principles
  • Author: Dr. Ann Cavoukian, Information and Privacy Commissioner of Ontario

  • Source: https://www.ipc.on.ca/sites/default/files/legacy/2018/01/pbd.pdf

  • Modifications: Principles restructured into agent-consumable assessment checklists with cross-references to GDPR, CCPA, and APP; original principle text paraphrased with attribution

  • Note: The 7 Foundation Principles are widely referenced in academic and regulatory literature; content here is paraphrased for planning use

GDPR Art. 25 (Data Protection by Design and by Default)
Australian Privacy Principles (APP)
CCPA/CPRA

Files

references/assessment-protocol.md


title: Assessment Protocol description: Step-by-step protocol for agents assessing a system against PbD 7 Foundation Principles

Assessment Protocol

Consumers that explicitly load privacy-by-design use this protocol to assess a system, feature, or data flow against the 7 Foundation Principles. It defines intended assessment behavior, not an existing load step in the Privacy Reviewer or Privacy Planner.

Assessment entry conditions

Begin a PbD assessment when any of these conditions hold:

  • A new feature or system processes personal data and has not been assessed against PbD principles.

  • A privacy review is requested during design, architecture, or pre-release review.

  • A DPIA (from the privacy-standards skill) identifies high-risk processing that warrants principle-level analysis.

  • A data retention audit is triggered by regulatory change or incident response.

Assessment phases

Phase 1: Scope and context
  1. Identify the system, feature, or data flow under assessment.

  2. Determine the personal data categories involved (using the data inventory from privacy-standards).

  3. Identify applicable jurisdictions (use cross-jurisdictional-mapping.md triggers).

  4. Establish the assessment boundary: which components, services, and data stores are in scope.

  5. Document the processing purposes and lawful bases for each data category.

  6. Load the applicable industry profile, including justified overrides, custom checks and suppressions from .pbd-config.yml. Record the effective checklist before scoring.

Phase 2: Principle-by-principle assessment

For each principle (PbD-01 through PbD-07):

  1. Read the principle reference file.

  2. Evaluate each item in the principle checklist against the system evidence.

  3. For each checklist item, record one of:

    • MET — evidence confirms the indicator is satisfied.

    • NOT MET — evidence confirms the indicator is violated or absent.

    • INSUFFICIENT EVIDENCE — cannot determine from available information.

  4. Check for anti-patterns listed in the principle reference.

  5. Assign PASS, PARTIAL, FAIL, or INSUFFICIENT_EVIDENCE using the ordered verdict rules below. Record evidence completeness independently.

  6. Assign CRITICAL, HIGH, MEDIUM, or LOW only for an established deficiency; otherwise use N/A.

  7. Record the finding with citation fields from the principle reference.

Phase 3: Retention and disposal assessment

When the system stores personal data:

  1. Verify retention schedules exist for each data category (use data-retention-and-disposal.md).

  2. Check that retention periods are purpose-linked and justified.

  3. Verify disposal methods are appropriate for the data sensitivity.

  4. Check backup and replica inclusion in retention policies.

  5. Verify legal hold procedures exist if the system could be subject to litigation holds.

  6. Record retention-specific findings under PbD-05.

Phase 4: Cross-jurisdictional check

When multiple jurisdictions apply:

  1. Use the jurisdictional scope triggers in cross-jurisdictional-mapping.md.

  2. Identify which regulations apply to each data flow.

  3. Assess each applicable obligation against evidence; a shared baseline does not replace jurisdiction-specific requirements. Record the common baseline as MET, NOT_MET, INSUFFICIENT_EVIDENCE, or NOT_APPLICABLE rather than inferring a boolean from missing evidence.

  4. Flag any jurisdiction-specific obligations not met by the common baseline.

  5. Record cross-jurisdictional findings with the applicable regulation and article.

Phase 5: Synthesis and handoff
  1. Aggregate findings into a summary with counts by verdict and severity.

  2. Order actionable findings by severity: CRITICAL, HIGH, MEDIUM, LOW; within a tier, FAIL before PARTIAL. CRITICAL and HIGH both map to P1 without downgrading CRITICAL or inventing P0.

  3. For each FAIL or PARTIAL finding, provide a specific, actionable remediation recommendation.

  4. Apply the finding schema's overall verdict rules, preserving unknowns and evidence requests separately from remediation. COMPLIANT describes this rubric only, not legal sign-off.

  5. Hand off findings in the finding schema format (see finding-schema.md).

Verdict rules

Evaluate these rules in order for the effective applicable checklist:

  1. FAIL when more than half of applicable items are NOT MET, or a critical anti-pattern is established without effective compensating controls. Unknown items stay in the denominator, never in the NOT MET count.

  2. PARTIAL when at least one deficiency or compensated anti-pattern is established and the FAIL rule does not apply. This includes ties and mixed known deficiencies with missing evidence.

  3. INSUFFICIENT_EVIDENCE when no deficiency is established but any item is unknown, or no applicable items remain. Identify the evidence or scope needed; never emit a vacuous PASS.

  4. PASS only when at least one applicable item remains, all are MET, and no unresolved anti-pattern or contradiction remains.

Use the same rules for a sub-check's scoped items. A confirmed anti-pattern is a deficiency even when checklist counts alone appear favorable. Record evidence_status: INCOMPLETE if any applicable item, anti-pattern investigation, retention obligation or jurisdictional check remains unknown; otherwise use COMPLETE. Missing artifacts are not proof that a control is absent.

Fold retention, industry/custom checks and jurisdiction-specific deficiencies into the affected principle's assessment. Do not let a sub-finding disappear behind a principle PASS. Cross-jurisdictional findings identify the affected principles; include the corresponding obligation in each applicable checklist once, not duplicate evidence counts within a principle.

Severity rules

SeverityCondition
CRITICALEstablished deficiency with severe direct impact, or FAIL under an effective CRITICAL profile/override priority
HIGHEstablished deficiency with direct risk to data subjects or applicable obligations
MEDIUMEstablished control gap with limited or indirect impact
LOWEstablished documentation or process deficiency with no demonstrated direct impact
N/ANo established deficiency, including PASS and unknown-only results

Determine the deficiency first, then its impact. Sensitive data alone cannot elevate PASS or unknown-only results. Apply a failed custom check's configured severity and the profile escalation rule without lowering an otherwise justified severity. A principle's severity is the highest severity of its established deficiencies; use N/A when none exist.

Evidence expectations

Record evidence source, scope and observation date where available. Distinguish intended policy from deployed behavior. When sources conflict, compare their scope, version and timing; retain both and explain which conclusion they support. If the conflict cannot be reconciled, mark the affected check unknown rather than assuming PASS. A verified operational contradiction is NOT MET, not merely missing evidence.

For PbD-06, verify that notices accurately describe current practice. A promise to destroy eSIM profiles within 30 days contradicted by recoverability at day 120 establishes a transparency deficiency and a related PbD-05 retention issue unless an applicable, disclosed exception explains it. Preserve MET credit for independently verified notice accessibility, contact routes and other unaffected controls. Cross-reference the two issues rather than duplicating remediation for the same cause.

Acceptable evidence for MET determinations:

  • Architecture documents or ADRs showing privacy-by-design decisions

  • Code showing privacy controls (encryption, access control, data minimization, consent mechanisms)

  • Configuration files showing privacy-protective defaults

  • Data flow diagrams showing personal data boundaries

  • Retention schedule documents

  • Privacy impact assessments or DPIA records

  • Test cases covering privacy behaviors

  • Monitoring or alerting configurations for privacy-relevant events

Interaction with other skills

SkillInteraction
privacy-standardsProvides data inventory, DPIA thresholds, and standards backbone; PbD assessment builds on top
security-planningSecurity controls overlap with PbD-05; reference security findings rather than duplicating
rai-plannerRAI assessment may identify data use concerns that feed into PbD-04 and PbD-07

Stop rules

  • Stop the assessment if scope cannot be established (no identifiable system or data flow).

  • Stop and escalate if the system processes data in a jurisdiction not covered by this skill's mappings.

  • Do not fabricate evidence; record INSUFFICIENT EVIDENCE and note what is needed.

  • Do not provide legal opinions; frame all findings as planning guidance requiring qualified review.


Protocol synthesized from the assessment patterns used by the Security Reviewer and RAI Planner within hve-core, adapted for privacy principle assessment.

Source principles: IPC Ontario, Privacy by Design. Assessment rules and output conventions are repository-original planning guidance.

Requirements and compatibility

Written for: GitHub Copilot, Claude Code

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Claude Code frontmatter

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Attribution and licence

Published by
Microsoft
Publisher
Microsoft (Official)
Source
microsoft/hve-core · .github/skills/project-planning/privacy-by-design · commit f425e94
Licence
Creative Commons Attribution 4.0 International (redistribution allowed)
  • LICENSE (written by AutoGineer)
  • ATTRIBUTION.md (written by AutoGineer)
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