π skillActivePromisingmedium
VideoCaptioner
by WEIFENG2333
π¬ ε‘ε‘εεΉε©ζ | VideoCaptioner - εΊδΊ LLM ηζΊθ½εεΉε©ζ - θ§ι’εεΉηζγζε₯γζ ‘ζ£γεεΉηΏ»θ―ε ¨ζ΅η¨ε€ηοΌ- A powered tool for easy and efficient video subtitling.
Supported Platforms
π€ Claude Code
Quality Breakdown
90/ 200
Content Signals
Repo Health
Multi-platform bonus: +5 pts if tool supports 2+ platforms. Score derived from 12 structural signals β not stars or popularity.
Trust & Verification
medium
Requires extended permissions (shell access, subagents). Review before use.
Active
Updated within the last 90 days. Actively maintained.
Risk Assessment
- Repository contains GitHub Actions workflows (.github/workflows/) that execute code, including claude-code-review.yml and claude.yml which may integrate with external AI services
- PyPI publishing workflow (publish-pypi.yml) indicates automated package distribution without explicit manual approval gates visible in file list
- Project installs GUI dependencies and system packages (font files, QSS stylesheets) which could be modified in supply chain
- Configuration system allows API key storage and remote API endpoint configuration (llm.api_base, cookies handling) creating credential exposure risk
- Project downloads external videos and processes media files from untrusted sources (YouTube, Bilibili mentioned), with subtitle handling that could execute code
- Multiple external integrations: LLM APIs, translation services (Bing/Google), ASR services (Whisper, Bijian, Jianying) create dependency chain risk