aradotso/trending-skills/softwarecopyright-skill
Claude Code and agent skill by aradotso/trending-skills
- community
Checking that the SKILL.md file is still in the repository.
Install
npx vskill@latest install aradotso/trending-skills/softwarecopyright-skillSKILL.md
软件著作权申请资料/ ├── 草稿/ ├── 环境检查.md ├── 环境检查.json └── 正式资料/ ├── 申请表信息.txt ← copy-paste into the official website form ├── <软件名称>_操作手册.docx ← operation manual ├── <软件名称>-代码(前30页).docx └── <软件名称>-代码(后30页).docx
Clone the repository
git clone https://github.com/Fokkyp/SoftwareCopyright-Skill.git cd SoftwareCopyright-Skill
Install skill to Codex global skills directory
mkdir -p ~/.codex/skills cp -R software-copyright-materials ~/.codex/skills/
Verify installation
ls ~/.codex/skills/software-copyright-materials/SKILL.md
Replace <your-project-dir> with your actual project path
PROJECT_DIR="<your-project-dir>"
git clone https://github.com/Fokkyp/SoftwareCopyright-Skill.git mkdir -p "$PROJECT_DIR/.codex/skills" cp -R SoftwareCopyright-Skill/software-copyright-materials "$PROJECT_DIR/.codex/skills/"
Verify
ls "$PROJECT_DIR/.codex/skills/software-copyright-materials/SKILL.md"
使用 software-copyright-materials 生成当前项目的软件著作权申请资料
Use the software-copyright-materials skill to generate Chinese software copyright application materials for this project
software-copyright-materials/ ├── SKILL.md ← agent skill definition ├── agents/ ← agent prompt definitions and flow logic ├── references/ ← 软著申请规则参考文档 ├── scripts/ ← Python scripts (run by Codex during generation) │ ├── env_check.py │ ├── analyze_project.py │ ├── extract_code.py │ ├── generate_draft.py │ └── generate_docx.py └── vendor/ ← vendored Python dependencies
cd software-copyright-materials/scripts python3 env_check.py --project-dir /path/to/your/project
{ "python3": true, "dotnet_sdk": false, "basic_docx": true, "full_docx_openxml": false, "output_dir": "/your/project/软件著作权申请资料/正式资料/", "warnings": [".NET SDK not found — will use basic DOCX fallback"] }
python3 analyze_project.py --project-dir /path/to/your/project
python3 extract_code.py \ --project-dir /path/to/your/project \ --output-dir ./软件著作权申请资料/正式资料/ \ --software-name "我的软件" \ --files "src/main.py,src/utils.py,src/models.py"
python3 generate_docx.py \ --draft-dir ./软件著作权申请资料/草稿/ \ --output-dir ./软件著作权申请资料/正式资料/ \ --software-name "我的软件" \ --version "V1.0"
import subprocess import json from pathlib import Path
PROJECT = Path("/path/to/your/project") SKILL_SCRIPTS = Path.home() / ".codex/skills/software-copyright-materials/scripts"
Step 1: Environment check
result = subprocess.run( ["python3", str(SKILL_SCRIPTS / "env_check.py"), "--project-dir", str(PROJECT)], capture_output=True, text=True ) env_report = json.loads((PROJECT / "软件著作权申请资料/环境检查.json").read_text()) print("Basic DOCX available:", env_report["basic_docx"]) print("Full OpenXML available:", env_report["full_docx_openxml"])
Step 2: Analyze project
subprocess.run( ["python3", str(SKILL_SCRIPTS / "analyze_project.py"), "--project-dir", str(PROJECT)], )
Step 3: Extract code (after confirming file selection with user)
selected_files = "src/main.py,src/api.py,src/models.py" subprocess.run([ "python3", str(SKILL_SCRIPTS / "extract_code.py"), "--project-dir", str(PROJECT), "--output-dir", str(PROJECT / "软件著作权申请资料/正式资料/"), "--software-name", "我的软件", "--files", selected_files, ])
Step 4: Generate DOCX from confirmed draft
subprocess.run([ "python3", str(SKILL_SCRIPTS / "generate_docx.py"), "--draft-dir", str(PROJECT / "软件著作权申请资料/草稿/"), "--output-dir", str(PROJECT / "软件著作权申请资料/正式资料/"), "--software-name", "我的软件", "--version", "V1.0", ])
macOS
brew install --cask dotnet-sdk
Ubuntu/Debian
wget https://packages.microsoft.com/config/ubuntu/22.04/packages-microsoft-prod.deb sudo dpkg -i packages-microsoft-prod.deb sudo apt-get update && sudo apt-get install -y dotnet-sdk-8.0
Verify
dotnet --version
Confirm correct path
ls ~/.codex/skills/software-copyright-materials/SKILL.md
If missing, re-run install
cp -R /path/to/SoftwareCopyright-Skill/software-copyright-materials ~/.codex/skills/
Security
- Security scanPassed, 71 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/softwarecopyright-skill/SKILL.md
Popularity
- Repository stars
- 72
- Repository forks
- 13
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 16 Aug 2026, 2 months ago.
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Embed badge
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