Voice-to-Protocol Transcriber

Record experimental procedures and observations via voice commands during lab work. Real-time transcription for structured experiment documentation.

Before installing or running this skill: 1) Inspect the rest of scripts/main.py (the file was truncated) to confirm there are no network calls or hidden endpoints (look for requests, urllib, socket, speech recognizer choice). 2) Reconcile dependencies: SKILL.md lists speechrecognition/pyaudio/pydub/python-docx but requirements.txt does not—ensure you install only trusted packages and prefer pinned versions. 3) Verify whether the speech recognition backend is local (e.g., VOSK) or cloud-based (Google, Azure, etc.); avoid sending sensitive audio to external services if experiment details are confidential. 4) Run initially in a sandboxed account or VM and with a test microphone to validate behavior; check saved files for unexpected content or exfiltration. 5) Confirm safe file paths (no directory-traversal vulnerabilities), and review how experiment_name is used to build filenames to avoid injection into paths. 6) If you need stronger assurance, ask the author for the missing packaging info or a signed release, or request that the maintainer include an explicit option to use an offline recognizer and to disable any network calls.

Type: OpenClaw Skill Name: voice-to-protocol-transcriber-1 Version: 1.0.0 The skill is a straightforward experiment logging tool that records user-provided text (simulating voice transcription) into structured Markdown, JSON, or text files. The code in `scripts/main.py` uses standard Python libraries for file I/O and argument parsing, lacks any network connectivity or suspicious execution logic, and strictly adheres to its stated purpose of documenting laboratory protocols.