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 | inngest-skills | editor |
|---|---|---|
| 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. | 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 | ~50 tokens idle · ~750 tokens when active (on-demand skill) | ~54 tokens idle · ~450 tokens when active (on-demand skill) |
| GitHub stars | 29 | 25.2k |
| 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 | No API token required | No API token required |
| Package source | GitHub (inngest/inngest-skills) | GitHub (pascalorg/editor) |
| 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. | editor (agent skill) requires careful permission scoping — local execution risk: CLI execution on user machines could be exploited if agent prompts are not sanitized; 3D model parsing may be vulnerable to malformed file attacks. |
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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