SAMPLE
Sample audit. Anonymized data from a real course type — this is what CourseLint output looks like for your own courses.
Audit your own course
courselint.app/ukazka/programovani-v-pythonu
CLCourseLint

Programming in Python

sample audit #A-2231 · large course · anonymized
DETAIL

Summary

overall view of the audit
↑ Quality score — higher is better (0–100)
55/ 10028 findings · 8 planes
Critical
8
To improve
12
Healthy
7
Needs review
1
Improvement potential
+24
+12
ceiling without API: 91 / 100
Projected score 55/100
What this means: a rough estimate of how much the overall score would rise if you fixed findings of the given severity. Why not 100: plane 7 (Engagement) is not evaluated without a connected Moodle API — its share of the score is missing, hence the ~91 ceiling. Connecting the API and fixing findings raises the ceiling; “needs review” findings require human checking.
Traffic light by plane
critical medium OK needs review not evaluated (N/A)
Click a plane — it shows what it checks.
Evaluated 7 of 8 planes fully. Not evaluated: 7 (Student Engagement (requires API connection))Not evaluated in this audit.
AI-generated, indicative. Fixes are not part of the audit. Ready-made wording and question rewrites are suggestions for manual editing. Every finding lists its source and confidence level.