Meeting Transcriber

基于FunASR实现的中文实时会议语音转录，支持自动标点、转录保存、环境检测和文件管理。

This skill is plausible for local Windows/Conda use, but there are red flags you should check before using it: - Inconsistency: the top-level metadata stated no required binaries, but _meta.json and the scripts expect 'python' and 'conda' and a Conda env named 'audioProject'. Decide whether you run this on Windows with Conda. - External dependencies: the core transcriber logic it tries to run (vocie_mic_fixed_gbk.py and other files) is expected at D:\dev\python\voiceFunAsr but those files are not included. Inspect or provide that project directory yourself; the skill will fail or may run unexpected code if those files differ. - Hard-coded paths: the scripts reference C:\Users\pengjschina and D:\ paths. If you run this on your machine those paths will differ; the scripts may create or modify files in your home directory (~/.openclaw) and in the working_directory. Back up anything important first. - Runtime actions: running the provided setup scripts will call conda/pip, create batch scripts, and may download ASR models from the network. Review conda_setup.py and the external transcriber scripts (vocie_mic_*) before running them, ideally in an isolated environment (VM or disposable account). - If you want to proceed: ensure you understand and control the external project files it depends on, run the environment checks manually, and consider running the code in a contained Windows/Conda environment to limit unintended filesystem/network effects. If you are unsure, do not run the setup/start commands until you verify the referenced project files and model download sources.

Type: OpenClaw Skill Name: pengjschina-meeting-transcriber Version: 1.0.0 The skill bundle exhibits high-risk patterns including extensive use of subprocess execution to launch new terminal windows via 'cmd /c start' and hardcoded absolute file paths tied to a specific user profile ('C:\Users\pengjschina'). While these appear to be functional workarounds for terminal buffering and environment management for the FunASR engine, the scripts (transcriber.py, conda_setup.py) perform broad system interactions and self-modification of bundle files. No clear evidence of intentional malice such as data exfiltration or backdoors was found, but the reliance on shell execution and lack of portability/sanitization makes it high-risk.