Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
Score-basis diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Repository: MoltBrain
Author: nhevers · Source status: Clear source
Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatically.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Pre-install score, evidence completeness, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
Moltbrain-virtuals
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
mcp-for-beginners
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
agentic-ai-engineering
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Moltbrain-virtuals | mcp-for-beginners | agentic-ai-engineering |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 74 · Manual review | 85 · Manual review | 82 · Manual review |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, memory context poisoning | prompt injection, tool poisoning, unexpected code execution |
Evidence completeness | 67% | 67% | 68% |
| Source & provenance | |||
Provenance | nhevers/Moltbrain-virtuals | microsoft/mcp-for-beginners | agenticloops-ai/agentic-ai-engineering |
Freshness | 2026-02-26 | 2026-04-08 | 2026-04-07 |
| Community | |||
Stars | 17 | 15.8K | 49 |
Repository: inkbox
Author: inkbox-ai · Source status: Clear source
SDK, skills, and examples for Inkbox: give your AI agents identities, inboxes, phone numbers, and encrypted vaults.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: ccNexus
Author: lich0821 · Source status: Clear source
Intelligent API gateway for Claude Code and Codex CLI - rotate endpoints, monitor usage, and seamlessly integrate OpenAI, Gemini, and other platforms.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
