Voice Recognition
v1.0.0Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization.
⭐ 3· 1.8k·7 current·8 all-time
by@gykdly
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (local Whisper-based speech-to-text) match the included Python script and the SKILL.md. The README asks you to install openai-whisper via Homebrew and use Python 3.10+, which is appropriate. Minor oddity: usage examples in SKILL.md hard-code an absolute path (/Users/liyi/.openclaw/workspace/...) pointing to a specific user's workspace — this is inconsistent with distributing the script and should be updated to relative or generic paths.
Instruction Scope
Runtime instructions simply run the included Python script which calls the external 'whisper' CLI (no shell=True). The script reads an audio file, writes a .txt transcript beside that file, and can generate a simple local summary. It does not read unrelated system files or environment variables, nor does it post data to remote endpoints. Note: first run will download model weights to ~/.cache/whisper (network and disk usage).
Install Mechanism
There is no install spec (instruction-only skill). The SKILL.md recommends 'brew install openai-whisper' which is a reasonable, low-risk installation path for the Whisper CLI.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The behavior (invoking a local 'whisper' binary) is proportionate to the stated function. Reminder: because it calls an external binary by name, it depends on the 'whisper' in PATH being the expected implementation.
Persistence & Privilege
The skill does not request permanent/always inclusion, does not modify other skills, and contains no code that attempts to change system-wide agent settings. It only suggests an optional shell alias for convenience (user action).
Assessment
This skill appears to do what it says: a small Python wrapper that invokes the local OpenAI Whisper CLI and writes transcripts locally. Before installing/use: (1) install openai-whisper from a trusted source (Homebrew tap) so the 'whisper' binary on your PATH is legitimate; (2) be aware the first run will download model weights to ~/.cache/whisper (large download and disk usage); (3) update the SKILL.md usage examples to point to the script location on your system instead of the hard-coded /Users/liyi/... path, and only create the suggested alias if you trust the script location; (4) transcripts are written next to the input audio file — check permissions and disk location; (5) if you want to reduce risk, run the script in an isolated environment (container or VM) until you confirm behavior. No signs of credential exfiltration or remote endpoints were found in the included files.Like a lobster shell, security has layers — review code before you run it.
latestvk975qyjn3qvv9krmhcs0kw396n80zw0z
License
MIT-0
Free to use, modify, and redistribute. No attribution required.