What is chinese-copyright-application?

A document-generation toolkit for preparing Chinese software copyright registration materials from a software project’s code and documentation. It supports applications for web apps, mobile apps, desktop software, and WeChat mini programs.

Use it to generate an application form, source-code document, user manual, design description, and PDF files.

It reduces the manual work of collecting project details and assembling the documents needed for a copyright application.

chinese-copyright-application — Skill for Claude Code and Codex by Tho

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add ThomasMoreAI/legal-skills-open --skill chinese-copyright-application

Clone the repo

git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/chinese-copyright-application/github.svg)](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/chinese-copyright-application)

Your own site

<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/chinese-copyright-application"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/chinese-copyright-application/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/chinese-copyright-application"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/chinese-copyright-application.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,445 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00102	$0.01445
Opus 5	$0.00051	$0.00723
Sonnet 5	$0.00020	$0.00289
Haiku 4.5	$0.00010	$0.00145

Measured 9d ago against content hash 7184861afc95, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

chinese-copyright-application scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

cn/ip/skills/chinese-copyright-application/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

中国软件著作权申请材料生成

快速开始

询问著作权人的名称
分析项目结构和配置文件
提取项目基本信息（名称、版本、描述等）
生成申请材料：
- 软件著作权登记申请表
- 源代码文档（前后各30页）
- 用户手册
- 设计说明书
生成PDF文件

工作流程

1. 著作权人信息收集

询问用户著作权人的名称
确保在每一个生成的文档开头都包含著作权人名称

2. 项目信息收集

从以下位置收集项目信息：

微信小程序项目：

app.json - 获取软件名称（navigationBarTitleText）
project.config.json - 获取appid、libVersion
package.json - 获取版本号、描述、作者
README.md - 获取详细描述、功能特性

Web/Node.js项目：

package.json - 获取名称、版本、描述、作者
README.md - 获取详细描述、功能特性

其他项目：

查找配置文件（如 pom.xml, build.gradle, Cargo.toml 等）
查找 README 文档

3. 生成申请表

使用 application-form-template.md 模板生成申请表。

格式要求：

软件全称：应当有辨识度，应该叫"xxx软件"
版本号：保留两位，例如"1.0"、"1.1"等

必填字段：

软件全称
软件简称
版本号
开发完成日期
首次发表日期
著作权人
开发者
软件性质（原创/修改/衍生）
软件分类
代码行数
开发的硬件环境
运行的硬件环境
开发该软件的操作系统
软件开发环境/开发工具
该软件的运行平台/操作系统
软件运行支撑环境/支持软件
编程语言
源程序量
开发目的
面向领域/行业
软件的主要功能
软件的技术特点

4. 生成源代码文档

要求：

前后各30页，每页50行
总共3000行源代码
如果代码不足3000行，全部提供

提取策略：

优先提取核心业务逻辑代码
按文件重要性排序（主要文件在前）
每个文件添加文件头注释（文件名、路径、行数）
格式化为标准页格式（每页50行，添加页码）

代码文件优先级：

主要业务逻辑文件（如 app.js, main.js, index.js）
工具函数文件（utils/, helpers/）
页面/组件文件（pages/, components/）
配置文件（config/）

5. 生成用户手册

使用 user-manual-template.md 模板。

内容结构：

软件简介
功能概述
安装/使用说明
主要功能说明
操作步骤
注意事项

信息来源：

README.md 的功能特性部分
代码注释
界面截图（如果有）

6. 生成设计说明书

使用 design-doc-template.md 模板。

内容结构：

软件概述
需求分析
总体设计
详细设计
数据结构设计
接口设计
算法设计
界面设计

信息来源：

项目结构分析
代码逻辑分析
数据流分析
组件/模块关系

输出格式

所有文档以 Markdown 格式生成，并自动转换为 PDF 文件。所有输出文件将放置在专门的文件夹中。

输出文件夹：

copyright-application-materials/

输出文件：

copyright-application-materials/软件著作权登记申请表.md
copyright-application-materials/软件著作权登记申请表.pdf
copyright-application-materials/源代码文档.md
copyright-application-materials/源代码文档.pdf
copyright-application-materials/用户手册.md
copyright-application-materials/用户手册.pdf
copyright-application-materials/设计说明书.md
copyright-application-materials/设计说明书.pdf

Read the full file on GitHub · 185 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

9d ago First seen · 185 lines · 102 tokens per session scan A 7184861afc95

Subscribe to this mod's changes

chinese-copyright-application is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 102 tokens to every session and 1,445 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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