Agent skill

Privacy Policy Pipl Audit

by ReJeCtAll in ReJeCtAll/ExpertTeam-Codex

基于《中华人民共和国个人信息保护法》(PIPL)及GB/T 35273-2020对隐私政策/隐私协议进行全面合规审查。当用户需要审查隐私政策合规性、检查隐私协议是否符合个人信息保护法、或对隐私协议进行整改优化时使用此技能。触发词:隐私政策审查、隐私协议合规、个人信息保护法审查、PIPL合规、隐私协议整改。

MITAuto-check passedLegal & Compliance

Install Privacy Policy Pipl Audit

skills CLI
$ npx skills add ReJeCtAll/ExpertTeam-Codex --skill privacy-policy-pipl-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ReJeCtAll/ExpertTeam-Codex privacy-policy-pipl-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ReJeCtAll/ExpertTeam-Codex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/privacy-policy-pipl-audit .claude/skills/privacy-policy-pipl-audit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
privacy-policy-pipl-audit
GitHub stars
113
Token cost
~535 tokens
SKILL.md length
148 words
Files
3 (incl. references)
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

基于《中华人民共和国个人信息保护法》(PIPL)及GB/T 35273-2020对隐私政策/隐私协议进行全面合规审查。当用户需要审查隐私政策合规性、检查隐私协议是否符合个人信息保护法、或对隐私协议进行整改优化时使用此技能。触发词:隐私政策审查、隐私协议合规、个人信息保护法审查、PIPL合规、隐私协议整改。

  • Works in 5 steps: 判定:合规 / 不合规 / 部分合规 → 合规情况:具体说明 → 问题描述:发现的具体问题 → …
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers 概述, 适用场景, 审查流程 and 审查维度清单, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Privacy Policy Pipl Audit is an agent skill from ReJeCtAll/ExpertTeam-Codex. 基于《中华人民共和国个人信息保护法》(PIPL)及GB/T 35273-2020对隐私政策/隐私协议进行全面合规审查。当用户需要审查隐私政策合规性、检查隐私协议是否符合个人信息保护法、或对隐私协议进行整改优化时使用此技能。触发词:隐私政策审查、隐私协议合规、个人信息保护法审查、PIPL合规、隐私协议整改。

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/audit_framework.md`).

It sits in Legal & Compliance, covering Privacy and GDPR. The repository describes itself as: 一套可直接安装到 ~/.codex 的专家配置,面向 Codex CLI / Codex App 桌面版的 Skill 调用方式 提供 3 个专家团、3 个单专家与 1 个总路由入口。 The licence is MIT.

When your agent uses it

  • Tasks that involve Privacy and GDPR

Example prompts

  • “/privacy-policy-pipl-audit”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 判定:合规 / 不合规 / 部分合规
  2. 合规情况:具体说明
  3. 问题描述:发现的具体问题
  4. 优化建议:可操作的修复建议
  5. 法条依据:PIPL 具体条款

What it can do on your machine

Read from SKILL.md and the folder at commit 59c573b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Privacy Policy Pipl Audit loads about 535 tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 148 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~535
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ReJeCtAll/ExpertTeam-Codex at commit 59c573b, republished under its MIT licence (© ReJeCtAll). 148 words, ~535 tokens.

Download SKILL.mdSave it as .claude/skills/privacy-policy-pipl-audit/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
privacy-policy-pipl-audit
description
基于《中华人民共和国个人信息保护法》(PIPL)及GB/T 35273-2020对隐私政策/隐私协议进行全面合规审查。当用户需要审查隐私政策合规性、检查隐私协议是否符合个人信息保护法、或对隐私协议进行整改优化时使用此技能。触发词:隐私政策审查、隐私协议合规、个人信息保护法审查、PIPL合规、隐私协议整改。

隐私政策 PIPL 合规审查

概述

本技能提供基于《中华人民共和国个人信息保护法》(PIPL)及相关国家标准的隐私政策/隐私协议全面合规审查框架。覆盖18个审查维度,逐项输出合规判定、问题描述及优化建议。

适用场景

  • App/网站隐私政策合规性自查
  • 监管审计发现问题的整改验证
  • 隐私协议更新前的合规复核
  • 新上线产品的隐私政策合规评审

审查流程

第一步:获取隐私政策全文

获取待审查的隐私政策完整文本。支持以下来源:

  • 用户直接粘贴文本
  • 提供 URL(通过 WebFetch 或浏览器工具抓取)
  • 提供 Word/PDF 文件(通过 Read 工具读取)
第二步:执行18维度审查

加载 references/audit_framework.md 中的完整审查框架,逐维度执行审查。每个维度输出:

  1. 判定:合规 / 不合规 / 部分合规
  2. 合规情况:具体说明
  3. 问题描述:发现的具体问题
  4. 优化建议:可操作的修复建议
  5. 法条依据:PIPL 具体条款
第三步:输出审查报告

按照 references/audit_framework.md 中定义的输出格式生成结构化报告,包含:

  • 18维度审查结果表
  • 合规项数/总项数统计
  • 高/中/低优先级整改项分类
第四步:生成优化文案(可选)

如用户需要,针对不合规项逐条生成优化后的文案内容,用户可选择性采纳。

审查维度清单

完整审查框架详见 references/audit_framework.md,包含以下18个维度:

  1. 个人信息处理者信息(PIPL 第17条)
  2. 处理目的、方式及个人信息种类(PIPL 第17条、第6条)
  3. 处理目的/方式/种类变更时的重新同意(PIPL 第14条)
  4. 个人信息保存期限及到期处理方式(PIPL 第19条、第47条)
  5. 个人信息主体的权利及行使途径(PIPL 第44-50条,共9项权利)
  6. 向第三方提供个人信息(PIPL 第23条)
  7. 委托处理个人信息(PIPL 第21条)
  8. 共同处理个人信息(PIPL 第20条)
  9. 个人信息的转让(PIPL 第22条)
  10. 个人信息的公开披露(PIPL 第25条、第55条)
  11. 处理已公开个人信息(PIPL 第27条)
  12. 个人信息的跨境提供(PIPL 第38条、第39条)
  13. 个人信息安全保护措施(PIPL 第51条、第57条)
  14. 未成年人个人信息保护(PIPL 第31条)
  15. 隐私政策更新机制(PIPL 第17条)
  16. 文本格式与可读性(PIPL 第17条"以显著方式、清晰易懂的语言")
  17. 联系方式
  18. 内容重复与冲突

常见审计问题速查

以下为高频审计发现及标准修复方案:

常见问题法条依据标准修复方向
变更时未重新征得同意第14条新增变更前弹窗告知+同意/拒绝机制
未明确保存期限第19条明确各信息类型存储期限+到期处理方式
用户权利不完整(缺复制/转移/撤回同意等)第44-50条补全9项权利及具体行使途径
未列明第三方接收方信息第23条列明接收方名称、联系方式、目的、方式、信息种类
未标注重点内容第17条加粗/下划线/高亮标注关键词,标题层级清晰
章节内容重复—合并重叠章节,统一管理
未声明共同处理情形第20条明确声明是否存在共同处理
转让未告知接收方信息第22条明确接收方名称/姓名和联系方式
未声明已公开个人信息处理情形第27条明确声明是否存在处理已公开个人信息的情形

注意事项

  • 审查时应同时关注《GB/T 35273-2020 信息安全技术 个人信息安全规范》
  • 涉及敏感个人信息时,需额外审查单独同意机制(PIPL 第29条)
  • 涉及自动化决策时,需审查相关说明及退出机制(PIPL 第24条)
  • 审查报告应使用中文输出

Resources

references/
  • audit_framework.md:完整的18维度审查框架,包含每个维度的审查要点、判定标准、输出格式及法条依据。审查时加载此文件作为核心参考。

© ReJeCtAll, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in .codex/skills/privacy-policy-pipl-audit of ReJeCtAll/ExpertTeam-Codex.

  • SKILL.md
  • agents/openai.yaml
  • references/audit_framework.md

Open the folder on GitHubat commit 59c573b

Compare with similar skills

Privacy Policy Pipl Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Privacy Policy Pipl Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Privacy Policy Pipl Audit this skillReJeCtAll/ExpertTeam-Codex113—~535Automated safety check: PassMIT
C15tc15t/c15t1.9k1 repos~1.6kAutomated safety check: PassApache-2.0
HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed5.5k—~1.7kAutomated safety check: PassApache-2.0
Korean Privacy Termskimlawtech/korean-privacy-terms587—~2.9kAutomated safety check: PassApache-2.0
Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~3.9kAutomated safety check: PassMIT
Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~2.3kAutomated safety check: PassMIT

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Questions about Privacy Policy Pipl Audit

What does Privacy Policy Pipl Audit do?

基于《中华人民共和国个人信息保护法》(PIPL)及GB/T 35273-2020对隐私政策/隐私协议进行全面合规审查。当用户需要审查隐私政策合规性、检查隐私协议是否符合个人信息保护法、或对隐私协议进行整改优化时使用此技能。触发词:隐私政策审查、隐私协议合规、个人信息保护法审查、PIPL合规、隐私协议整改。. Privacy Policy Pipl Audit is an agent skill from ReJeCtAll/ExpertTeam-Codex.

When should I use Privacy Policy Pipl Audit?

Privacy Policy Pipl Audit fits situations like: tasks that involve Privacy and GDPR.

How do I install Privacy Policy Pipl Audit in Claude Code?

Run `npx skills add ReJeCtAll/ExpertTeam-Codex --skill privacy-policy-pipl-audit -a claude-code`. Or copy the skill folder (.codex/skills/privacy-policy-pipl-audit in ReJeCtAll/ExpertTeam-Codex) into .claude/skills/privacy-policy-pipl-audit in your project. Claude Code loads it when a task matches its description.

How do I install Privacy Policy Pipl Audit in Codex?

Run `npx skills add ReJeCtAll/ExpertTeam-Codex --skill privacy-policy-pipl-audit -a codex`. Or copy the skill folder (.codex/skills/privacy-policy-pipl-audit in ReJeCtAll/ExpertTeam-Codex) into .agents/skills/privacy-policy-pipl-audit in your project. Codex loads it when a task matches its description.

Can I use Privacy Policy Pipl Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ReJeCtAll/ExpertTeam-Codex --skill privacy-policy-pipl-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/privacy-policy-pipl-audit, .gemini/skills/privacy-policy-pipl-audit, .github/skills/privacy-policy-pipl-audit and .opencode/skills/privacy-policy-pipl-audit in your project.

What does Privacy Policy Pipl Audit need to run?

SKILL.md names no scripts, command-line tools or credentials: Privacy Policy Pipl Audit is instructions for the agent only.

Does Privacy Policy Pipl Audit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Privacy Policy Pipl Audit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Privacy Policy Pipl Audit use?

Privacy Policy Pipl Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Privacy Policy Pipl Audit use?

About 535 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Privacy Policy Pipl Audit?

Skills that share tags, products or a category with Privacy Policy Pipl Audit: C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Korean Privacy Terms (kimlawtech/korean-privacy-terms, 587 stars) and Gdpr Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Privacy Policy Pipl Audit?

ReJeCtAll (a GitHub user) maintains it in ReJeCtAll/ExpertTeam-Codex, which has 113 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on July 8, 2026.

Source: ReJeCtAll/ExpertTeam-Codex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.