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.
SAS-v2.1 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: awesome-copilot
Author: github · Source status: Clear source
Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation
Score basis：Clear source · Low risk signals · Claude
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
Audit score, evidence confidence, trust score, 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
n8n-mcp-server
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
UnrealGenAISupport
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
Create-MCP
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | n8n-mcp-server | UnrealGenAISupport | Create-MCP |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, memory context poisoning |
Evidence confidence | 65% | 65% | 67% |
| Source & provenance | |||
Provenance | leonardsellem/n8n-mcp-server | prajwalshettydev/UnrealGenAISupport | AnnieBabs/Create-MCP |
Freshness | 2025-07-10 | 2026-03-26 | 2026-04-09 |
| Risk & trust | |||
Trust score | 60 | 81 | 82 |
| Community | |||
Stars | 1.6K | 515 | 5 |
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 · Low risk signals · Universal
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 risk signals · Universal
Repository: indonesia-gov-apis
Author: suryast · Source status: Clear source
🇮🇩 50+ Indonesian Government APIs & Data Sources — BPS, OJK, BPJPH, BPOM, Bank Indonesia, IDX, BMKG + MCP servers.
Score basis：Clear source · Low risk signals · Universal
