Compare two AI tools side by side
Put any two skills or MCP servers next to each other: risk grade, what each can access, how popular it is, and how to install it.
| What | zat.env | video-search-and-summarization |
|---|---|---|
| Risk grade | DD · High risk signals Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee. | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 17, 2026. Our opinion, not a code audit or security guarantee. |
| Type | AI agent skill | AI agent skill |
| Est. context load | ~50 tokens idle · ~800 tokens when active (on-demand skill) | ~116 tokens idle · ~500 tokens when active (on-demand skill) |
| GitHub stars | 7 | 2k |
| Weekly npm downloads | — | — |
| Local files | No local folder access noted | No local folder access noted |
| Command execution | No shell command runner noted | No shell command runner noted |
| Network reach | Local or standard API calls | Connects to outside service API |
| Credentials | Requires API key or token | No API token required |
| Package source | GitHub (peterzat/zat.env) | GitHub (NVIDIA-AI-Blueprints/video-search-and-summarization) |
| Install command | Source repo only | Source repo only |
| Bottom line | Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review. | This blueprint handles potentially sensitive video data and relies on AI models that can make mistakes, so you should carefully control access, monitor outputs, protect API credentials, and validate summaries before using them for decisions. |
Based on public adoption and transparency signals as of Oct 29, 2026. Our opinion, not a code audit or security guarantee.
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