Video Transcript Workflow

视频/音频转录 → 优化润色 → 多平台发布稿。使用 faster-whisper 转录音视频，自动修正错误、提取金句、生成知乎/微信/小红书等多平台文章。Use when user wants to transcribe video/audio, convert speech to text, or creat...

This skill appears to implement the claimed transcription + article workflow, but take these precautions before installing/using it: - Dependency check: The code imports faster_whisper and references ctranslate2; ensure you install the correct packages (faster-whisper, ctranslate2) rather than only 'openai-whisper' as the README suggests. Test in a virtualenv. - MEMORY.md: SKILL.md refers to a MEMORY.md user-preference file that is not included — ask the author where preferences are stored and what information is kept; do not allow unknown files to be read without review. - External network use: The skill will perform automated 'web_search'/'web_fetch' to add background knowledge. Confirm what tool/provider the host agent uses for web searches and whether transcripts or excerpts will be sent to external services. If you are transcribing sensitive audio, avoid running web lookups or run offline only. - Auto-continue: The workflow auto-continues after 3 minutes if the user doesn't respond. If you want explicit consent before processing or uploading, disable that behavior or monitor runs. - Run with non-sensitive data first: Try the scripts locally on sample audio to confirm behavior and outputs (where files are written, format), and inspect outputs for accidental data leakage. - Sandbox execution: Run initially in an isolated environment (virtualenv or container) and review installed packages and network activity. If the author can clarify the README/package dependency mismatch, confirm where MEMORY.md is stored, and document exactly what external endpoints web_search/web_fetch call (and whether transcript content is transmitted), the risk would be reduced.

Type: OpenClaw Skill Name: video-transcript-workflow Version: 2.2.0 The skill bundle provides a legitimate workflow for transcribing audio/video files and generating platform-specific content (Zhihu, WeChat, Xiaohongshu) using the `faster-whisper` library. The Python scripts (`transcribe_simple.py` and `transcribe_segmented.py`) contain standard transcription logic with robust features like GPU-to-CPU fallback and progress saving, while the `SKILL.md` file provides clear, non-malicious instructions for the AI agent to manage the workflow and handle user interactions. No evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found.