software-copyright

software-copyright is a skill for Codex from kevinnft/ai-agent-skills. It costs 95 tokens per session (6,540 once invoked), scanned A, a copy of software-copyright, MIT.

A workflow for preparing Chinese software-copyright registration materials from a real software project. It produces drafts and formal Word or text documents for the application.

In plain words
What is it for?
Understanding a software project, drafting application information and a user manual, selecting source-code pages, and generating registration documents.
Why use it?
It turns project files into traceable application materials while keeping the software description and submitted code tied to the real project.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Understanding a software project, drafting application information and a user manual, selecting source-code pages, and generating registration documents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kevinnft/ai-agent-skills/software-copyright
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 kevinnft/ai-agent-skills --skill software-copyright
Clone the repo
git clone --depth 1 https://github.com/kevinnft/ai-agent-skills

Made for: 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.

agentmods badge for software-copyright

README.md
[![agentmods](https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/software-copyright/github.svg)](https://agentmods.dev/skills/kevinnft/ai-agent-skills/software-copyright)
Your own site
<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/software-copyright"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/software-copyright/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.

agentmods 80×15 button for software-copyright

Your own site · 80×15
<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/software-copyright"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/software-copyright.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,540 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 91% copy Near-identical to another mod 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00095 $0.06540
Opus 5 $0.00048 $0.03270
Sonnet 5 $0.00019 $0.01308
Haiku 4.5 $0.00010 $0.00654

Measured 8d ago against content hash 8413cc2eaf60, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

software-copyright 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 8d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (scripts/analyze_project.py, scripts/build_docx_from_md.py, scripts/capture_screenshots.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

91% identical to software-copyright — 20 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/software-copyright/SKILL.md · 454 lines

How it starts

The opening of the file, as written. The whole thing — 454 lines — stays where its author put it; the contents beside it link to each section on GitHub.

软著申请资料生成

这个 skill 生成可审阅、可追溯的软著申请资料。核心原则:

  • 固定输出目录:当前工作目录下的 软件著作权申请资料/。不要默认写到 /tmp/private/tmp 或其他临时目录。
  • 只有测试 skill 自身时才允许显式指定临时目录;面向用户生成材料时必须写入当前目录。
  • 先生成 Markdown 草稿,用户确认后再生成正式 Word/TXT。
  • 正式 Word/TXT 只能写入 软件著作权申请资料/正式资料/,不要散落在输出目录根部。
  • 正式 Word/TXT 的文字一律使用默认黑色字体,不生成蓝色超链接、主题色标题或其他彩色文字;Markdown 链接写入 Word 时必须转成普通文本。
  • 正式资料中的软件名称必须与 草稿/申请表信息.md 的“软件全称”字段一致;正式生成时以已确认的申请表软件全称为准。
  • 正式代码 Word 页眉中的版本号必须与 草稿/申请表信息.md 的“版本号”字段一致;正式生成时以已确认的申请表版本号为准。
  • 代码材料必须来自真实项目源码,禁止 AI 编造代码。
  • 写申请表和操作手册前,必须先形成模型研判后的 草稿/业务理解.md/json,理解软件业务、行业、目标用户、核心价值和操作流程。
  • 脚本只能收集项目证据、校验字段和生成文件;行业判断、功能抽取、代码抽取选择、操作手册结构必须由模型阅读项目后决定,不得依赖脚本关键字表或固定范本。
  • 优先抽取前端代码:入口、路由、页面、核心组件、接口封装、状态管理、工具函数。
  • 生成代码材料前,必须先生成代码文件候选清单;模型理解项目后填写抽取文件、行段和选择理由,再让用户确认或修改。
  • 代码优先抽取模型和用户确认的、最能体现软件真实功能和运行逻辑的源码;不足 60 页时,从其他相关源码文件补充到 60 页;候选源码仍不足 60 页时,才生成全部代码文档。
  • 操作手册面向审核员,用通用语言说明软件用途和操作流程。
  • 操作手册草稿必须按章节写成通顺段落,不能只给功能列表;每个核心模块都要用普通人能看懂的语言说明模块用途、操作过程和结果反馈。避免代码、框架、接口、状态管理、异步任务等技术化表达;撰写过程中由 agent 自行循环检查、扩写和修正,完整草稿完成后只向用户发起一次整体确认。
  • 操作手册必须去除明显“AI 味”:避免空泛赞美、营销口号、万能句式、每章同一结构、过度对称的排比、没有项目细节的正确废话、频繁使用“旨在、赋能、一站式、智能化、高效便捷、显著提升、强大能力、丰富功能”等套话。每段都应能回答“这个项目里这个功能具体做什么、用户看见什么、操作后有什么结果”。
  • 操作手册生成必须同步输出 草稿/操作手册自检记录.md草稿/操作手册自检记录.json,记录初稿、按项目流程扩写、去制式表达等自检轮次;如果前 3 轮仍发现问题,必须继续补写修正,直到问题清零或记录无法自动修复的原因后再停止。
  • 截图方式必须先让用户选择:Chrome DevTools MCP、Codex Computer Use、用户自行截图。用户选完后,再检查当前 MCP / Computer Use 能力是否可用;如果用户说现在不截图、先跳过截图或截图失败,操作手册仍必须保留清晰可见的截图预留位置,正式 Word 中也要能看到。
  • 申请表信息中的硬件/系统环境必须让用户确认或填写,不能硬编码。
  • Word 生成能力必须使用本 skill 内置的 vendor/docx-toolkit;不得引用外部 DOCX 目录。

强制人工门禁

凡是涉及用户选择、确认或补充信息的阶段,必须先停止当前执行,不得继续调用下一步脚本。即使处于自动审核、自动继续或无人值守模式,也必须把 STOP_FOR_USERNEXT_ACTION 原样告知用户,并等待用户输入后再继续。

禁止使用“用户未选择则默认继续”的逻辑。用户回复确认后,先用确认脚本记录对应门禁,再进入下一阶段:

python3 scripts/confirm_stage.py --workdir 软件著作权申请资料 --stage <阶段名> --note "<用户确认内容>"

必须停住的门禁:

  • environment:完整 DOCX 环境缺失时,用户必须选择“安装完整环境”或“使用基础 DOCX 兜底继续”。
  • project:存在多个项目候选目录时,用户必须指定项目目录。
  • business草稿/业务理解.md 生成后,用户必须确认行业、目标用户、核心功能和申请口径。
  • application-fields草稿/申请表信息.md 生成后,用户必须补全并确认硬件、系统环境、著作权人、日期等字段。
  • code-selection草稿/代码文件选择.json 生成后,用户必须确认或修改抽取文件和行段。
  • screenshot-method:操作手册截图前,用户必须在 Chrome DevTools MCP、Codex Computer Use、用户自行截图三种方式中选择一种;如果用户明确说“现在不截图/先跳过截图”,记录为 skip
  • markdown:全部 Markdown 草稿完成后,用户必须确认可以进入 Word/TXT 生成。

Read the full file on GitHub · 454 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

  1. 8d ago First seen · 454 lines · 95 tokens per session scan A 8413cc2eaf60

Subscribe to this mod's changes

software-copyright is a skill published in the GitHub repository kevinnft/ai-agent-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 6,540 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to software-copyright, differing in 20 lines, and is treated as a copy.

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