隐私政策起草

SKILL效率
效率 未标注权限 许可证不明确
安装这个技能

生成符合GDPR和CCPA规定的隐私政策,针对特定商业模式和数据收集实践进行定制。

一句话选型结论

按资料字段整理

隐私政策起草是效率类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类效率 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_3c6cb52e/privacy-policy-drafting-skillhub
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

效率
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_3c6cb52e仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791623504
正文体量8.6 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
整理待办与日程

把零散任务收进清单,排出优先级。

批量处理重复任务

把固定动作做成模板,重复执行。

把流程写成清单

把口头流程整理成可复用的步骤。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在效率场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
隐私政策起草当前 未标注权限 未标注 未标注 未标注 有
Nano PDF 文档 联网访问 ClawHub 市场 424.9 万 OpenClaw 有
自动更新程序 浏览器控制 ClawHub 市场 296.4 万 OpenClaw 有
Gemini 助手 联网访问 ClawHub 市场 254.7 万 OpenClaw 有
word DOCX 文档 联网访问 ClawHub 市场 239.6 万 OpenClaw 有
Excel XLSX 前端 联网访问 ClawHub 市场 227.0 万 OpenClaw 有

SKILL.md 全文

8.6 KB
模型实际读到的说明书原文,来自技能仓库

隐私政策起草

Generate comprehensive, legally-informed privacy policies that address GDPR, CCPA, and other applicable data protection regulations. This skill takes business context, data collection practices, and technical architecture as inputs and produces a structured privacy policy with all required disclosures, consent mechanisms, and data subject rights sections.

Workflow

  1. Gather Business Information — Collect details about the business entity (name, jurisdiction, contact info), the product or service offered, target user demographics, and geographic reach. Determine which regulations apply based on where users are located, not just where the business is incorporated. A US-based SaaS serving EU customers must address GDPR.

  2. Identify Data Collection Practices — Map every category of personal data collected: direct inputs (forms, account creation), automatic collection (cookies, analytics, device info, IP addresses), third-party sources (OAuth providers, data brokers), and derived data (usage patterns, preferences). For each category, document the collection method, storage location, retention period, and whether it includes sensitive/special category data.

  3. Map Legal Requirements — Cross-reference collected data types against applicable frameworks. GDPR requires lawful basis for each processing activity, CCPA requires disclosure of sale/sharing practices and opt-out mechanisms, COPPA applies if users under 13 may access the service, and sector-specific rules (HIPAA, FERPA, GLBA) may layer additional requirements. Identify all required policy sections.

  4. Draft Policy Sections — Generate each section with plain-language explanations alongside legally precise disclosures. Required sections include: data collected and purposes, legal basis for processing (GDPR), data sharing and third parties, cookies and tracking technologies, data retention, user rights and how to exercise them, international data transfers, children's privacy, security measures, and policy change notification procedures.

  5. Review for Compliance Gaps — Audit the draft against a regulatory checklist. Verify that every data processing activity has a stated legal basis, all required rights are enumerated, contact information for DPO or privacy inquiries is included, cookie consent mechanisms are described, and data breach notification procedures are referenced. Flag any gaps or areas needing business input.

Usage

Describe your business, what data you collect, and which jurisdictions your users are in. Include technical details about cookies, analytics tools, and third-party integrations.

Example prompt:

Draft a privacy policy for my SaaS app "TaskFlow" — a project management tool. We collect email, name, and usage analytics via Mixpanel. Users are in the US and EU. We use Stripe for payments and Google OAuth for login.

Examples

Example 1: SaaS App with Email and Usage Data

Input: TaskFlow, a project management SaaS. Collects email, name, profile photo, usage analytics (Mixpanel), payment info (Stripe), Google OAuth login. Users in US and EU.

Output (key sections):

Information We Collect

Information you provide: When you create an account, we collect your name, email address, and profile photo (if provided via Google OAuth). When you subscribe to a paid plan, our payment processor Stripe collects your payment card details — we do not store full card numbers on our servers.

Information collected automatically: We collect usage data including features accessed, session duration, and interaction patterns through Mixpanel. We collect device information (browser type, operating system, screen resolution), IP address, and approximate location derived from IP. We use cookies and similar technologies as described in our Cookie Policy section below.

Information from third parties: If you sign in via Google OAuth, we receive your name, email, and profile photo from Google per your Google account settings.

Legal Basis for Processing (EEA/UK Users)

Processing Activity Legal Basis
Account creation and service delivery Performance of contract
Payment processing Performance of contract
Usage analytics for product improvement Legitimate interest (improving service quality)
Email notifications about your account Performance of contract
Marketing communications Consent (opt-in)

Your Rights

Under GDPR (EEA/UK users): access, rectification, erasure, restriction, portability, objection, and withdrawal of consent. Under CCPA (California residents): right to know, right to delete, right to opt-out of sale (we do not sell personal information), and right to non-discrimination.

Example 2: Mobile App with Location Tracking

Input: FitRoute, a fitness tracking mobile app. Collects GPS location (continuous during workouts), health data (heart rate from wearables), email, age, weight. Users are global.

Output (additional sections):

Location Data

FitRoute collects precise GPS location data during active workout sessions to map your route and calculate distance. Location tracking begins only when you start a workout and stops when you end it. We do not track your location in the background. You can revoke location permissions at any time through your device settings, though this will prevent route mapping features from functioning.

Health and Sensitive Data

We collect health-related data including heart rate (synced from connected wearables), workout duration, calories burned, and body metrics you voluntarily provide (age, weight, height). Under GDPR, health data is a special category requiring explicit consent — we obtain this consent during onboarding. Under California law, this constitutes sensitive personal information subject to additional protections. This data is encrypted at rest using AES-256 and in transit using TLS 1.3.

Consent Requirements

Given the sensitive nature of location and health data, we implement layered consent: (1) initial consent during onboarding covering core data processing, (2) separate granular consent for location tracking activated at first workout, (3) separate consent for wearable data syncing, and (4) optional consent for anonymized data contribution to aggregate fitness research.

Best Practices

  • Use plain language alongside legal terms — define jargon on first use and write at an 8th-grade reading level where possible.
  • Be specific about third-party services by name (Mixpanel, Stripe, Google Analytics) rather than vague references to "service providers."
  • Include a "last updated" date and describe how users will be notified of material changes (email, in-app banner, etc.).
  • Provide a data retention schedule with specific timeframes rather than "as long as necessary."
  • Address cookie consent with granular categories (strictly necessary, functional, analytics, advertising) per ePrivacy Directive requirements.
  • Include a direct contact method (email, form) for privacy inquiries with a stated response timeframe (e.g., 30 days for GDPR requests).

Edge Cases

  • Apps targeting children or mixed-age audiences — COPPA (under 13, US) and Age Appropriate Design Code (UK) impose strict requirements including verifiable parental consent and data minimization. If age-gating isn't enforced, assume the policy must address child users.
  • Businesses that share data with affiliates or ad networks — CCPA considers this "selling" or "sharing" personal information even without monetary exchange. The policy must include a "Do Not Sell or Share" link and honor Global Privacy Control signals.
  • International data transfers post-Schrems II — If transferring EU data to the US, reference the EU-US Data Privacy Framework or Standard Contractual Clauses. Vague statements about "appropriate safeguards" are insufficient.
  • AI/ML model training on user data — If user data feeds into machine learning models, disclose this as a processing purpose with its own legal basis. Users may object under GDPR Article 22 to automated decision-making.
  • Acquisitions and data portability — The policy should state what happens to user data if the business is sold, merged, or goes bankrupt, as this is a required CCPA disclosure.

常见问题

5 问
答案由本站依据条目字段整理
隐私政策起草怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_3c6cb52e/privacy-policy-drafting-skillhub。安装方式为未标注。装完刷新技能列表或重开客户端。

隐私政策起草支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

隐私政策起草权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

隐私政策起草收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

隐私政策起草用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。