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

# Evals

> Score skill quality on 6 dimensions and track improvements over time.

The Evals system scores your skills against 6 quality dimensions and tracks scores over time so you can catch regressions.

## Quality dimensions

| Dimension     | What it measures                                           |
| ------------- | ---------------------------------------------------------- |
| **Structure** | Is the skill well-organized with clear sections?           |
| **Content**   | Does the skill cover the task with sufficient depth?       |
| **Evidence**  | Are claims backed by references or links?                  |
| **Usage**     | Does the skill include example prompts and usage patterns? |
| **Toolchain** | Are tool requirements and allowed-tools specified?         |
| **Freshness** | Is the content current and recently maintained?            |

Each dimension is scored independently. The overall score is a weighted aggregate.

## Running evals

1. Open a skill in the Editor or Library
2. Navigate to the **Evals** tab
3. Click **Run evaluation**
4. Review the scores and any flagged issues

<Info>
  Evals run locally. No data is sent to external services.
</Info>

## Score history

Every eval run is recorded with a timestamp. The Evals view shows:

* **Score trends.** The latest 5 scores shown per skill as a text sequence.
* **Run history.** Full list of past runs with scores and timestamps.
* **Run heatmap.** Visual overview of agent skill usage (success/failure) over time. This tracks when agents used the skill, not eval runs.

## Improvement suggestions

When a dimension scores below threshold, the eval system provides specific suggestions:

* Missing overview section
* Short or thin content that needs expansion
* No concrete examples with input/output
* No references or evidence links
* Missing tags in frontmatter