> ## Documentation Index
> Fetch the complete documentation index at: https://docs.endorlabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

<AgentInstructions>

## Submitting Feedback

If you encounter incorrect, outdated, or confusing documentation on this page, submit feedback:

POST https://docs.endorlabs.com/feedback

```json
{
  "path": "/scan/sca/scores/index",
  "feedback": "Description of the issue"
}
```

Only submit feedback when you have something specific and actionable to report.

</AgentInstructions>

# Endor scores

> Understand how packages and AI Models are scored in Endor Labs.

Endor Labs collects and analyzes a large amount of information about open-source packages and uses it to compute scores.

* Every open-source package is scored across different dimensions that capture both security and operation aspects of a risk.

* Every AI model is scored on a multidimensional scoring system grouped into four main categories: security, activity, popularity, and operational integrity.

Each category's Endor score represents the average of all contributing factors within that category. See [View scorecards](/inventory-insights/dependencies#view-dependency-details-overview) for more information on checking Endor scores.

See [Package scores](/scan/sca/scores/repository-scores) for more information on package scores.