faster-whisper
No security findings. Scanned 1 time, most recently 2026-02-06.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables ~20x realtime transcription. Supports standard and distilled models with word-level timestamps.
- Package
- 5 files, 24 KB
- SKILL.md
- 1481 words, 12+ sections
- Code
- Python (1), Shell (1)
- Requires
- bins:
ffmpegpython3 - Version
- 1.0.4
SKILL.md covers: Faster Whisper · When to Use · Quick Reference · Model Selection · Model Table · Setup · Linux / macOS / WSL2 · Run the setup script (creates venv, installs deps, auto-detects GPU) · Windows (Native) · Run from PowerShell (auto-installs Python & ffmpeg if missing via winget) · Platform Support · GPU Support (IMPORTANT!)
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 12 KB |
requirements.txt | doc | 117 B |
setup.sh | script | 5.1 KB |
skill.json | config | 357 B |
scripts/transcribe.py | script | 6.1 KB |
External hosts referenced
download.pytorch.org github.com www.nvidia.com apps.microsoft.com arxiv.org docs.nvidia.com huggingface.co
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
VENV_DIR
Package contents recorded 2026-10-22. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://clawhub.ai/skills/faster-whisper
- Raw scan result: faster-whisper-scan.json
- Badge for your README:
- Request a re-scan