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 | bigpowers | designer-skill |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee. | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee. |
| Type | AI agent skill | AI agent skill |
| Est. context load | ~56 tokens idle · ~450 tokens when active (on-demand skill) | ~63 tokens idle · ~450 tokens when active (on-demand skill) |
| GitHub stars | 284 | 50 |
| Weekly npm downloads | 3.6k | 62 |
| Local files | Reads & writes local folders | No local folder access noted |
| Command execution | No shell command runner noted | Runs shell or system commands |
| Network reach | Connects to outside service API | Connects to outside service API |
| Credentials | Requires API key or token | No API token required |
| Package source | npm (bigpowers) | npm (@pymodel/designer-skill-mcp) |
| Install command | npx -y bigpowers | npx -y @pymodel/designer-skill-mcp |
| Bottom line | Bigpowers gives AI agents structured capabilities to manage code and workflows, which means you should monitor what data the agent accesses and what actions it takes, especially around sensitive files and real execution. | designer-skill is distributed via npm (@pymodel/designer-skill-mcp); review its source code, dependencies, and requested permissions before use. |
Based on public adoption and transparency signals as of Oct 28, 2026. Our opinion, not a code audit or security guarantee.
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