crispasr-transcription — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited crispasr-transcription (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this skill when the user asks to transcribe local audio or video through CrispASR.
Rules:
scripts/transcribe.py.--profile auto unless the user specifies English or Chinese.--models-dir models after the recommended model bundle is installed.--download-models or the MCP crispasr_download_models tool.--models-dir, pass both --english-model and --chinese-model.--model.--lid-backend firered and --lid-model.understand_video when the user asks for video understanding, keyframes, screenshots, visual context, or agent-readable video analysis.Example (auto mode with firered LID):
uv run python scripts/transcribe.py .\file.mp4 --profile auto --manage-server `
--models-dir modelsExample (english profile with manual server):
uv run python scripts/transcribe.py .\file.wav --profile english `
--server-url http://127.0.0.1:8080Download the recommended GGUF bundle with --download-models, or use these filenames:
| Purpose | File | Source |
|---|---|---|
| English ASR | cohere-transcribe-q4_k.gguf | Cohere Transcribe 03-2026 GGUF |
| Chinese ASR | qwen3-asr-1.7b-q4_k.gguf | Qwen3-ASR GGUF |
| Language detection | firered-lid-q4_k.gguf | FireRed LID GGUF |
Reference: references/crispasr_server.md.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.