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privacy-standards Skill

AI Agent SkillPowerShellOpen source

Privacy planning reference for data-flow reasoning, standards mapping, and DPIA thresholds Published by microsoft in hve-core.

Decision snapshot

Is this a fit?

Best for

Security review, Data analysis, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is privacy-standards Skill?

Privacy planning reference for data-flow reasoning, standards mapping, and DPIA thresholds Published by microsoft in hve-core. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
77/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Security review
  • Data analysis
  • Security review use cases
  • Data analysis use cases

Declared skill metadata

  • Declared license: mixed
  • Source file: .github/skills/project-planning/privacy-standards/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use privacy-standards Skill

  • Use it for security review.
  • Use it for data analysis.

Built with

PowerShellCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/hve-core
  • Skill file: .github/skills/project-planning/privacy-standards/SKILL.md

What it does

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

Skill instructions

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. - GDPR and CCPA/CPRA content is paraphrased and attributed rather than quoted verbatim, consistent with the repository's open legal-text posture. - OWASP privacy-risk material is used as a planning reference and is attributed to the OWASP project. Framewo

Verified compatibility and discovery

Frequently asked questions

What is privacy-standards?

privacy-standards is a open-source AI agent skill with Copy skill directory. Privacy planning reference for data-flow reasoning, standards mapping, and DPIA thresholds

Who is privacy-standards best for?

privacy-standards is best for reusing agent instructions, scripts, and references, security review workflows, data analysis workflows.

How do I install privacy-standards?

Install or run privacy-standards using Copy skill directory. Check privacy-standards for the latest setup command.

Is privacy-standards actively maintained?

privacy-standards may need a closer maintenance check before production use.

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Stars
1,263
Forks
229
Last commit
2 months ago
Last verified
Aug 27, 2026
Metadata fetched
Aug 27, 2026
Repository age
10 months
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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