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 | superCMO-skills | deepchat |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 26, 2026. Our opinion, not a code audit or security guarantee. | BB · Some risk signals Based on public adoption and transparency signals as of Oct 16, 2026. Our opinion, not a code audit or security guarantee. |
| Type | AI agent skill | AI agent skill |
| Est. context load | ~71 tokens idle · ~450 tokens when active (on-demand skill) | ~50 tokens idle · ~450 tokens when active (on-demand skill) |
| GitHub stars | 263 | 6.4k |
| 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 | Connects to outside service API | Connects to outside service API |
| Credentials | Requires API key or token | Requires API key or token |
| Package source | PyPI (supercmo-skills) | GitHub (ThinkInAIXYZ/deepchat) |
| Install command | uvx supercmo-skills | Source repo only |
| Bottom line | This tool lets AI create marketing content automatically, which is useful but risky if the AI receives bad instructions, if credentials leak, or if it generates misleading or fake content. | deepchat (agent skill) requires careful permission scoping — credential exposure: API keys for LLM services are passed through the client; ensure keys are proxied server-side or use temporary tokens, never embed production credentials in frontend code. |
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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