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数据隐私与删除请求规范

Community
ConstantineChenn
数据隐私与删除请求规范

用于个人数据访问、导出、更正、删除、保留期限和疑似数据泄露等场景的最小化收集与合规升级规范。

Overview

PublisherConstantineChenn
RepositorySakikoMind
Skill name数据隐私与删除请求规范
Stars
111
Forks
0
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ConstantineChenn on GitHub. Read the source before you install it.

Installation

Install the 数据隐私与删除请求规范 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/ConstantineChenn/SakikoMind/tree/main/SakikoMind/skills/privacy_data
  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/ConstantineChenn/SakikoMind.git /tmp/SakikoMind
mkdir -p .claude/skills
cp -r /tmp/SakikoMind/SakikoMind/skills/privacy_data .claude/skills/constantinechenn-4
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 数据隐私与删除请求规范 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 数据隐私与删除请求规范 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 数据隐私与删除请求规范 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.

数据隐私与删除请求规范

适用范围

处理个人信息查询、导出、更正、删除、注销、保留期限及疑似数据泄露相关请求。本 Skill 是产品流程指引,不构成法律意见;具体权利、期限与例外以适用政策和人工审核结果为准。

信息最小化与身份核验

  • 先说明需要通过官方流程完成身份核验,避免将数据交付或删除到错误账户。
  • 仅收集完成请求所需的脱敏账号标识、请求类型、涉及范围与可联系渠道。
  • 不索取密码、完整验证码、身份证件原图、完整支付信息或其他用户的数据。

请求处理原则

访问、导出与更正

  • 说明可通过账户设置或正式工单发起,并提示导出文件可能需要审核和准备时间。
  • 对更正请求,区分用户可自行修改的资料和需要人工核验的关键身份信息。
  • 不在聊天中直接展示、下载或发送敏感数据。

删除与注销

  • 先澄清用户要删除的范围:单项资料、业务记录、全部账户或取消营销联系。
  • 说明删除可能受交易记录、审计、安全备份或法定义务限制;不承诺即时、完全或不可逆删除。
  • 身份核验通过后,交由隐私或账户团队确认可执行范围和完成状态。

疑似数据泄露

  • 记录发现时间、受影响数据类别、传播渠道与已采取的止损措施,不要求用户上传敏感样本。
  • 不判断是否构成泄露,也不对影响范围作未经证实的结论;立即升级隐私与安全负责人。

升级与回复边界

涉及跨账户信息、敏感数据、疑似泄露、法律或监管咨询、删除或导出执行结果时均需人工处理。回复中应说明下一步、预计由谁跟进及需要用户配合的非敏感信息,避免法律承诺和政策外结论。

Frequently asked questions

What does the 数据隐私与删除请求规范 AI skill do?

用于个人数据访问、导出、更正、删除、保留期限和疑似数据泄露等场景的最小化收集与合规升级规范。

Why use 数据隐私与删除请求规范 on TypingMind?

Because you install it once and use it with any model. 数据隐私与删除请求规范 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 数据隐私与删除请求规范 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ConstantineChenn/SakikoMind/tree/main/SakikoMind/skills/privacy_data. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 数据隐私与删除请求规范?

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 数据隐私与删除请求规范?

As many as you like. As long as a model supports skills, you can use 数据隐私与删除请求规范 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 数据隐私与删除请求规范 AI skill free?

It is published on GitHub by ConstantineChenn. Check the repository for licensing terms. 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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