> For the complete documentation index, see [llms.txt](https://docs.siminsights.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.siminsights.com/scoring-and-mastery.md).

# Scoring and mastery

What a score means, and how skill mastery is built up and tracked.

HyperSkill can score learners different ways.

**Quizzes** count answers: a quiz in a lesson shows how many questions were right out of how many asked.

**Simulations** measure skills: as a learner acts inside a simulation, each skill in its competency model moves up or down, and the run ends with a mastery value for every skill and an overall figure.

* [How scores work](/scoring-and-mastery/how-scores-work.md): both kinds, and the rules that trip people up.
* [Competency models](/scoring-and-mastery/competency-models.md): the skill trees behind simulation scoring.
* [Competency models in SimGenie](/scoring-and-mastery/competency-models-in-simgenie.md): making and deploying one.
* [Competency models in HyperSkill](/scoring-and-mastery/competency-models-in-hyperskill.md): attaching one to a simulation and setting attributes.
* [Competency models in HyperSkill Platform](/scoring-and-mastery/competency-models-in-the-hyperskill-platform.md): reading the results.