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: 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%
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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
create-python-server
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
precision-medicine-mcp
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
mcp-create-adaptive-cards
Execution risk：High
Threat tags：prompt injection, tool poisoning, data exfiltration
Control gaps：missing license, broad permissions, network without allowlist
| Dimension | create-python-server | precision-medicine-mcp | mcp-create-adaptive-cards |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 60 · Manual review | 82 · Manual review | 82 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, human approval gap | prompt injection, tool poisoning, data exfiltration |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, network without allowlist |
Permission summary | Permission review, Network, Command | Permission review, Network, Command | Network, Command |
Evidence completeness | 67% | 65% | 67% |
| Source & provenance | |||
Provenance | modelcontextprotocol/create-python-server | lynnlangit/precision-medicine-mcp | github/awesome-copilot |
Freshness | 2025-01-23 | 2026-04-08 | 2026-04-07 |
| Risk & permission signals | |||
Permission hints | repository clone, local runtime dependencies | repository clone, local runtime dependencies | local skill installation, workspace file updates |
| Install & compatibility | |||
Supported tools | Universal | Universal | Claude, Codex, Cursor, Windsurf |
Install method | script-backed | script-backed | instruction-only |
Install friction | |||
| Community | |||
Stars | 476 | 12 | 28.7K |
40 |
40 |
60 |
