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cn-genai-filing

Use when asked 大模型备案怎么做, 生成式人工智能服务备案还是登记, 算法备案流程, AI 生成内容标识怎么加, 我们接了已备案的大模型还要备案吗, or prepare a generative AI product for launch in mainland China.

Install / Use

npx skills add mohitagw15856/pm-claude-skills --skill cn-genai-filing

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

82/100

Category

Security

Supported Platforms

Universal

Our assessment of cn-genai-filing

cn-genai-filing scores 82/100 on our quality scale, 978th of 1,117 Security skills we index.

Its SKILL.md is 4.2 KB long, well organised into 10 sections and no code examples: a solid amount of guidance for an agent.

With 1,440 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so cn-genai-filing is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

cn-genai-filing compared with similar skills

All 4 of these similar skills score higher than cn-genai-filing; compare them before choosing.

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Frequently asked questions

How do I install cn-genai-filing?
Run npx skills add mohitagw15856/pm-claude-skills --skill cn-genai-filing. The install tabs above show the steps for each supported agent.
Which AI agents does cn-genai-filing work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is cn-genai-filing safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is cn-genai-filing still maintained?
The repository was last updated today, so cn-genai-filing is actively maintained.

name: cn-genai-filing description: "Use when asked 大模型备案怎么做, 生成式人工智能服务备案还是登记, 算法备案流程, AI 生成内容标识怎么加, 我们接了已备案的大模型还要备案吗, or prepare a generative AI product for launch in mainland China. Produces the obligations that apply (generative AI service filing, registration for apps built on a filed model, algorithm filing, AI-generated content labelling), the documents and security self-assessment to prepare, a launch checklist, and the questions for the provincial cyberspace administration, each marked to confirm." version: 1.0.0

Generative AI Filing (生成式人工智能备案)

Offering generative AI to the public in mainland China brings obligations under the Interim Measures for the Management of Generative AI Services (effective 15 August 2023), the algorithm recommendation rules, the deep synthesis rules, and the measures for labelling AI-generated content (effective 1 September 2025). Which apply depends on whether the company trains or provides its own model, builds on a model that is already filed, serves the public or only businesses, and what the product generates. This skill works out which apply and prepares the materials.

Write in Simplified Chinese unless asked otherwise. Procedures run through the provincial cyberspace administration (省级网信办) and the national algorithm filing system, and practice changes; confirm with the local 网信办 and counsel. This is preparation, not legal advice.

Required Inputs

Ask for these if not provided:

  • The product: what it generates (text, images, audio, video), for whom (public or businesses only), and how users reach it (app, website, API, mini program)
  • The model: own model, a fine-tuned open model, or an API from a provider whose model is already filed (and which)
  • Training data sources and how rights and personal information were handled, if the company trains
  • Safety measures: content filtering, complaint handling, minors protection, logging
  • Launch date and province of registration

Output Structure

1. Obligations map

| Obligation | Applies? | Why | Where it is handled | Covering: generative AI service filing (大模型备案) for providers of their own model to the public; registration (登记) for public-facing apps that call a filed model (confirm the local practice); algorithm filing (算法备案) through the national system where the product has public-opinion or social-mobilisation attributes; deep synthesis duties; and AI content labelling (explicit labels users can see, and implicit labels such as metadata).

2. Materials to prepare

For filing or registration: service description, model details or the filed model's filing number, the security self-assessment against the national security requirements for generative AI services (TC260 basic requirements), training data and annotation records where relevant, keyword and test question banks, user agreement and privacy policy, and complaint channels.

3. Labelling plan

Where explicit labels appear (text notices, image watermarks, audio cues, video captions), how implicit labels are written into file metadata, and how user downloads and shares keep the labels.

4. Launch checklist

| Item | Owner | Done | Including real-name verification where required, minors protection, a complaint and reporting channel, log retention, and a process for handling illegal content.

Quality Checks

  • [ ] Each obligation states why it does or does not apply to this product
  • [ ] Building on a filed model is distinguished from providing an own model
  • [ ] The labelling plan covers both explicit and implicit labels
  • [ ] Materials include the security self-assessment and test question banks
  • [ ] Every procedure is marked to confirm with the provincial 网信办
  • [ ] The output states it is not legal advice

Anti-Patterns

  • Assuming an API wrapper needs nothing. Public-facing apps on a filed model still have duties.
  • Labels only in the interface. Downloads must carry implicit labels too.
  • Launching before filing. Public services wait for filing or registration to complete.
  • A safety section with no evidence. Reviewers ask for test results, not promises.

Example Trigger Phrases

  • "我们做了一个调用 DeepSeek API 的写作 App,要备案吗?"
  • "大模型备案需要准备哪些材料?"
  • "AI 生成的图片怎么加标识才合规?"
  • "What filings does our generative AI product need before launching in China?"

Related Skills

View on GitHub
GitHub Stars1.4k
CategorySecurity
Updated3h ago
Forks257

Languages

HTML

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions