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: mcp-sequentialthinking-tools
Author: spences10 · Source status: Clear source
🧠 An adaptation of the MCP Sequential Thinking Server to guide tool usage.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
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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
mcp-mindmesh
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
Icebreaker Openers. 破冰。Rompehielos.
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
Canva Ai Video Editor
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | mcp-mindmesh | Icebreaker Openers. 破冰。Rompehielos. | Canva Ai Video Editor |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 81 · Manual review | 85 · Evidence missing | 85 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude | Clear source, High execution risk, Cursor |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | prompt injection, tool poisoning, unexpected code execution | unexpected code execution, identity privilege abuse, data exfiltration |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 67% | 69% | 67% |
| Source & provenance | |||
Provenance | 7ossamfarid/mcp-mindmesh | openclaw/skills | openclaw/skills |
Category | Integrations & Connectors | Integrations & Connectors | Design & Content |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | needs credentials, network access, runs shell, writes files | needs credentials, network access, runs shell, writes files |
Permission hints | repository clone, local runtime dependencies | verify source provenance before install | verify source provenance before install |
| Install & compatibility | |||
Supported tools | Universal | Claude, OpenClaw | Cursor, OpenClaw |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 5 | 0 | 0 |
Repository: UnrealGenAISupport
Author: prajwalshettydev · Source status: Clear source
Unreal Engine plugin for LLM/GenAI models & MCP UE5 server.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: Create-MCP
Author: AnnieBabs · Source status: Clear source
🚀 Generate and extend production-ready Model Context Protocol (MCP) servers with a modern CLI tool that showcases all MCP features in one cohesive example.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: UCAI
Author: nirholas · Source status: Clear source
Universal Contract AI Interface (UCAI) 🔗 ABI to MCP | The open standard for connecting AI agents to blockchain.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: LibreChat
Author: danny-avila · Source status: Clear source
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpret
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: free-crypto-news
Author: nirholas · Source status: Clear source
Free crypto news API - real-time aggregator for Bitcoin, Ethereum, DeFi, Solana & altcoins.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
2026-04-06 |
2026-04-01 |
2026-04-02 |
40 |
65 |
65 |
