Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
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
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
fossology
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：broad permissions, shell without guardrails, network without allowlist
innoshop
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | fossology | innoshop |
|---|---|---|
| SAS-v2.1 pre-install audit | ||
Control gaps | broad permissions, shell without guardrails, network without allowlist | missing license, broad permissions, shell without guardrails |
Evidence confidence | 67% | 65% |
| Source & provenance | ||
Provenance | fossology/fossology | innocommerce/innoshop |
| Risk & trust | ||
Audit signals | network access, runs shell | No explicit signals |
| Install & compatibility | ||
Install friction | 50 | 40 |
| Community | ||
Stars | 980 | 609 |
Repository: Multi-Agent-Custom-Automation-Engine-Solution-Accelerator
Author: microsoft · Source status: Clear source
The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input.
Score basis：Clear source · Low risk signals · Universal
Repository: project-nova
Author: PradeepaRW · Source status: Clear source
A multi-agent AI architecture that connects 25+ specialized agents through n8n and MCP servers.
Score basis：Clear source · Risk needs review · Universal
