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-for-beginners
Author: microsoft · Source status: Clear source
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python.
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
tool_calling_api
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
knowledge-work-plugins
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 | tool_calling_api | knowledge-work-plugins | agentic-ai-engineering |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 82 · Manual review | 92 · Manual review | 82 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | prompt injection, tool poisoning, unexpected code execution | unexpected code execution, data exfiltration, memory context poisoning | prompt injection, tool poisoning, unexpected code execution |
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, Command | Permission review, Network, Command |
Evidence completeness | 67% | 67% | 68% |
| Source & provenance | |||
Provenance | Shuyib/tool_calling_api | anthropics/knowledge-work-plugins | agenticloops-ai/agentic-ai-engineering |
Category | Dev & Engineering | Automation & Workflows | Dev & Engineering |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | metadata-only | No explicit signals |
Permission hints | repository clone, local runtime dependencies | repository clone | repository clone, local runtime dependencies |
| Install & compatibility | |||
Supported tools | Universal | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 20 | 11.2K | 49 |
Repository: DemoGPT
Author: melih-unsal · Source status: Clear source
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: openclaw/skills
Author: diagnostikon · Source status: Clear source
Trades CPI range bin markets on Kalshi using the constraint that mutually exclusive bins must sum to ~100%.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: rox
Author: BeWelcome · Source status: Clear source
:earth_africa: BeWelcome lets you share a place to stay, connect with travellers, meet up and find accommodation on your journey.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: NVIDIA-Nemotron-3-Super
Author: cobusgreyling · Source status: Clear source
Controllable reasoning demos for NVIDIA Nemotron 3 Super (120B/12B MoE) — chat UI, CLI, API server, tool calling, budget sweep, and adaptive routing Topics: gradio, llm, mixture-of-experts, moe, nemotron, nim, nvidia, re
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
2026-03-28 |
2026-04-10 |
2026-04-07 |
40 |
75 |
40 |
