China Ad Compliance Review
Paste the following prompt into your AI chat to install this skill:
Please install @user_b1305e35/ad-compliance-cn following the guide at https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Chinese commercial ad copy, livestream scripts, feed ads, and package claims often mix absolute terms, efficacy claims, patent/citation errors, and misleading promotion. Manually checking the Advertising Law, Internet Advertising Measures, and Anti-Unfair Competition Law can miss items and produce uneven evidence chains.
How It Works
The skill splits review into prechecks and step-by-step checks: it first tests whether the content is a commercial ad under the four attributes, then confirms the placement channel and loads relevant rules from references/. It covers four-level findings, penalty references, patents and citations, special categories, internet ads, and medical ads; images are checked for prohibited elements, embedded text, and misleading cues. Before output, each finding must map to a specific clause, and the report is validated with validate_report.py or a checklist.
Boundaries
It provides preliminary compliance reference only and is not legal advice. The tool does not proactively verify external facts such as patent status, data sources, or link truthfulness; such gaps are marked UNSURE. For content over 2000 words or multi-product campaigns, submit in segments and route key risks to a qualified lawyer.
Use Cases
- Before launching feed ads, review product selling points to locate absolute terms and false-promotion risks.
- Before publishing livestream scripts, check medical, health-food, and endorser wording against special rules.
- After designing packaging or posters, inspect prohibited visuals, embedded text, patent numbers, and comparative claims.
- When re-reviewing revised ads, verify that previous hard violations were fixed against specific statutory clauses.
Best For
- E-commerce brand counsel: compare multiple copy drafts against advertising, anti-unfair, and internet ad rules before release.
- Internet operations staff: screen feed, splash-screen, and livestream scripts before launch for preliminary compliance.
- Medical-device or health-food marketers: verify efficacy claims, special-category bans, patents, and visual risks.
- Content review leads: standardize four-level findings and check that revision guidance is specific and actionable.
Related Skills
Switch AI from a polite executor into a skeptical thinking partner, using assumption checks, pre-mortems, and evidence gates to expose weak ideas early.
Applies research discipline, data lookup, evidence grading, red-team checks, and structured reporting to analyze AI company investment logic.
Uses Qichacha or Tianyancha MCP data and public information to score corporate credit across 12 dimensions and output a Markdown risk report.
Calculates personal injury compensation via CLI and outputs case summary, standards, line items, sources, and risk notes.