Video Analyzer — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Video Analyzer (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.
Analyze videos and generate storyboard breakdowns. Extracts frames via scene detection, transcribes audio with Whisper, analyzes visuals with Claude Vision, and computes 8-field stylistic fingerprints.
.docx or .mdThis project includes an MCP (Model Context Protocol) server so you can use video analysis directly from Claude Desktop or Claude Code.
claude mcp add video-analyzer -s user -- uvx video-analyzer-mcpAdd to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"video-analyzer": {
"command": "uvx",
"args": ["video-analyzer-mcp"],
"env": {
"ANTHROPIC_API_KEY": "your-key-here"
}
}
}
}| Tool | Description |
|---|---|
video_analyze | Full pipeline: download, extract frames, transcribe, analyze, fingerprint, storyboard |
video_extract_frames | Extract representative frames using scene detection or fixed intervals |
video_transcribe | Transcribe audio with OpenAI Whisper |
video_fingerprint | Generate 8-field Stylistic Fingerprint v3 classification |
video_check_deps | Verify all required dependencies are installed |
pip install -r requirements.txt
python3 analyze_video.py "https://youtube.com/watch?v=..." --output-dir ./outputbrew install ffmpeg (macOS) or apt-get install ffmpeg (Linux)MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.