Privacy Compliance Architecture logo

Privacy Compliance Architecture

Organization
devcodex-labs
privacy-compliance-architecture

隐私与合规架构专家 Owner — 当任务涉及个人信息/PII、数据分类、目的限制、同意、最小化、保留删除、数据驻留、跨境、日志脱敏、主体访问导出删除权或隐私审计时使用;要求把数据生命周期和用户权利映射到真实系统路径与证据。

Overview

Publisherdevcodex-labs
Repositorydevcodex
Skill nameprivacy-compliance-architecture
Stars
433
Forks
44
Bundled files
2
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by devcodex-labs on GitHub. Read the source before you install it.

Installation

Install the Privacy Compliance Architecture AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/devcodex-labs/devcodex/tree/main/content/skills/privacy-compliance-architecture
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/devcodex-labs/devcodex.git /tmp/devcodex
mkdir -p .claude/skills
cp -r /tmp/devcodex/content/skills/privacy-compliance-architecture .claude/skills/privacy-compliance-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Privacy Compliance Architecture in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Privacy Compliance Architecture on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Privacy Compliance Architecture is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Privacy Compliance Architecture

职责

设计从采集、使用、共享、存储、日志、备份到删除的隐私生命周期,并把政策要求落实为系统合同。security 负责攻击面,data 负责模型,growth 负责分析目的;本 Skill 负责隐私权利、目的和合规证据。

PrivacyComplianceArchitectureGate

字段要求
dataClassificationMap数据项、敏感度、主体、来源、存储、日志/trace/备份派生面
purposeConsentMatrixpurpose、lawful basis/consent、使用者、撤回、二次用途限制
minimizationBoundary必需字段、可选字段、派生字段和禁止采集/传播面
retentionDeletionPolicyactive/archive/log/cache/backup 的期限、触发、例外和可验证删除
residencyBoundaryregion、跨区/跨境流、processor/subprocessor 和迁移限制
dataSubjectRightsFlowaccess/export/correct/delete/restrict/withdraw 的身份验证、范围和 SLA
privacyAuditEvidence决策、访问、导出、删除、例外、失败和人工复核证据

执行流程

  1. 以真实数据流建立 inventory,不只看数据库 Schema;包含 prompt、日志、trace、analytics、cache、queue、backup 和第三方。
  2. 为每项数据绑定 purpose、最小化、访问者、保留、驻留和删除路径。
  3. 区分 consent 与其他合法基础;定义撤回后的新处理、已有数据和下游传播。
  4. 设计主体权利流程及身份验证,防止导出/删除接口形成越权。
  5. 明确 processor/provider 边界、跨区域传输和供应商退出。
  6. 为超期保留、日志泄露、备份删除失败、下游未传播和权限误配设计探针。
  7. 把法律/政策适用范围标为 project evidence;证据不足时不得编造法规结论。

输出字段

dataClassificationMap、purposeConsentMatrix、minimizationBoundary、retentionDeletionPolicy、residencyBoundary、dataSubjectRightsFlow、processorMap、privacyAuditEvidence、verificationRoute、evidenceMatrix。

反模式

  • 把加密或鉴权等同于隐私合规。
  • 只定义数据库删除,不覆盖缓存、搜索、日志、队列和备份。
  • 所有采集都写“用户已同意”,却无 purpose、撤回和证据。
  • 日志脱敏只 grep 源码,不验证 runtime artifact。
  • 复制法规名称或地区结论,没有项目适用证据。
  • 为了“合规最佳实践”覆盖用户/项目明确的数据和秘密策略。

验证

至少覆盖超期保留、撤回同意、访问/导出/更正/删除、跨区传输、日志/trace 泄露、cache/search/backup 删除、processor 传播、权限越权和审计证据完整性。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Privacy Compliance Architecture AI skill do?

隐私与合规架构专家 Owner — 当任务涉及个人信息/PII、数据分类、目的限制、同意、最小化、保留删除、数据驻留、跨境、日志脱敏、主体访问导出删除权或隐私审计时使用;要求把数据生命周期和用户权利映射到真实系统路径与证据。

Why use Privacy Compliance Architecture on TypingMind?

Because you install it once and use it with any model. Privacy Compliance Architecture is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Privacy Compliance Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/devcodex-labs/devcodex/tree/main/content/skills/privacy-compliance-architecture. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Privacy Compliance Architecture?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Privacy Compliance Architecture?

As many as you like. As long as a model supports skills, you can use Privacy Compliance Architecture with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Privacy Compliance Architecture AI skill free?

Yes. It is published on GitHub by devcodex-labs under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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