Xpersona
agentCLAWHUBUnverified

china-data-compliance

Ensure applications comply with Chinese data protection laws (PIPL, Cybersecurity Law, Data Security Law). Teach AI agents how to implement privacy policies,... Skill: china-data-compliance Owner: lm203688 Summary: Ensure applications comply with Chinese data protection laws (PIPL, Cybersecurity Law, Data Security Law). Teach AI agents how to implement privacy policies,... Tags: PIPL:2.3.0, agent:1.0.0, china:2.3.0, chinese:1.1.0, compliance:2.3.0, consent:1.0.0, cybersecurity:2.3.0, data-privacy:1.1.0, data-protection:2.3.0, latest:2.3.0, legal:1.0.0, localization:1.0.0, pi

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.1k

Updated

Oct 11, 2026

Version

2.3.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 11, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 11, 2026
Adoption signal
1.1K downloadsadoption · observed Oct 11, 2026
Latest release
2.3.0release · observed May 28, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cdyvvd1aax9tdkqfbq8wey986vhn0:china-data-compliance
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-lm203688-china-data-compliance/snapshot"

Documentation

CLAWHUB

58,040 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: china-data-compliance
description: "Ensure applications comply with Chinese data protection laws (PIPL, Cybersecurity Law, Data Security Law). Teach AI agents how to implement privacy policies, consent management, data localization, cross-border transfer assessment, and security impact assessment. Covers: PIPL compliance checklist, personal information consent flow, data localization implementation, cross-border data transfer assessment, and security impact assessment (网络安全审查). Triggers on: 中国数据合规, china data compliance, 个人信息保护法, PIPL compliance, 网络安全法, cybersecurity law, 数据安全法, data security law, 数据本地化, data localization, 跨境数据传输, cross-border data transfer, 隐私政策, privacy policy china, 个人信息同意, consent management china, 网络安全审查, security assessment china, 数据出境, data export china"
version: "2.3.0"
license: MIT-0
compatibility: "Claude Code, Cursor, Windsurf, Codex CLI, Gemini CLI, OpenClaw, Kimi Code, Qwen Code, Aider, Amp"
homepage: "https://github.com/lm203688/china-compliance-skills-mirror"
when_to_use: "Use when building applications for Chinese users that collect personal information, store data, or transfer data across borders. Also for PIPL合规, 数据出境评估, 隐私政策, 数据本地化, 网络安全审查, GDPR+PIPL dual compliance, or any China data protection question."
argument-hint: "<app description or data flow> [compliance scope: pipl|cybersecurity|data-security|all]"
---

# China Data Compliance - 中国数据合规专家

You are an expert at ensuring applications comply with China's three-pillar data protection framework: PIPL (个人信息保护法), Cybersecurity Law (网络安全法), and Data Security Law (数据安全法).

## Core Philosophy

**In China, data compliance is not optional — it's a prerequisite for operating.** Non-compliance can result in service suspension, fines up to ¥50M or 5% of annual revenue, and criminal liability. You help agents build compliance into the architecture, not bolt it on after.

## The Three Laws

| Law | Focus | Key Requirement | Max Penalty |
|-----|-------|----------------|-------------|
| PIPL (2021) | Personal information | Consent + purpose limitation | ¥50M or 5% revenue |
| Cybersecurity Law (2017) | Network security | Security assessment + data localization for CII | ¥1M + suspension |
| Data Security Law (2021) | Data classification | Classification + cross-border assessment | ¥10M + suspension |

## Workflow 1: PIPL Compliance Checklist

### Step 1: Privacy Policy (隐私政策)
```markdown
Required sections in Chinese privacy policy:
1. 信息收集范围 (What data you collect)
2. 使用目的 (Why you collect it)
3. 共享与披露 (Who you share with)
4. 存储地点与期限 (Where and how long)
5. 用户权利 (User rights: access, delete, export)
6. 未成年人保护 (Under-14 protection)
7. 跨境传输 (Cross-border transfer, if applicable)
8. 更新机制 (How you notify changes)
```

### Step 2: Consent Management
```javascript
// PIPL consent flow implementation
class PIPLConsent {
  // Separate consent required for:
  // 1. Core service data collection
  // 2. Marketing communications
  // 3. Third-party sharing
  // 4. Cross-

_meta.json

{
  "ownerId": "kn7a6kxswmnbamxxthy2pgjrkn86vpfy",
  "slug": "china-data-compliance",
  "version": "2.3.0",
  "publishedAt": 1779977704222
}

skill-card.md

## Description:

Ensure applications comply with Chinese data protection laws, including PIPL, Cybersecurity Law, and Data Security Law, by guiding privacy policies, consent management, data localization, cross-border transfer assessment, and security impact assessment.

This skill is ready for commercial/non-commercial use.

## Publisher:

[lm203688](https://clawhub.ai/user/lm203688)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and compliance engineers use this skill when building applications for Chinese users that collect personal information, store data, or transfer data across borders. It helps agents draft implementation guidance, checklists, data-flow assessments, and technical patterns for China data compliance.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill promotes an external commercial web app that may receive compliance content without clear data-handling disclosure.

Mitigation: Do not paste sensitive policy drafts, business data, personal information, or regulated content into the external app unless its operator, terms, and data handling have been independently reviewed.

Risk: Legal thresholds and cloud-region commands may become outdated or may not match a specific deployment context.

Mitigation: Treat the guidance as a starting point and require current legal, security, and infrastructure review before using it for production compliance decisions.

## Reference(s):

- [ClawHub skill listing](https://clawhub.ai/lm203688/skills/china-data-compliance)
- [China Compliance Skills repository](https://github.com/lm203688/china-compliance-skills-mirror)
- [cn-seo-optimizer related skill](https://github.com/lm203688/china-compliance-skills-mirror/tree/main/skills/cn-seo-optimizer)
- [cn-geo-monitor related skill](https://github.com/lm203688/china-compliance-skills-mirror/tree/main/skills/cn-geo-monitor)

## Skill Output:

**Output Type(s):** [Markdown, Code, Shell commands, Configuration, Guidance]

**Output Format:** [Markdown with checklists, tables, code snippets, shell commands, and architecture notes]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include legal and infrastructure compliance guidance that requires current professional review before production use.]

## Skill Version(s):

2.3.0 (source: frontmatter and server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 11, 2026.

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