Exam Simulator: Closed-Book Mock Exams & Custom Card Runner

🎯 Exam Simulator for Anki This is a simple Exam Simulator add-on made by a cramming medical student. It allows you to run closed-book mock exams using advanced multiple-choice card templates (featuring cryptographic shuffling and interactive JavaScript click-handlers) without affecting your real spaced-repetition review statistics or intervals. Code for the note I used is attached below.

✨ Key Features Tag-Based Quotas: Select specific tags from your collection and assign random question quotas to build custom mock exams instantly and simulate the exams effectively. Closed-Book Simulation Window: Answer questions in a distraction-free window, navigate freely using the top numbered question grid, and grade your exam at the end. Full Template Compatibility: Fully supports custom HTML/CSS and JavaScript card templates (e.g., ChoiceA-E fields, cryptographic shufflers, and night mode). Detailed Review: Automatically displays pass/fail status (60% threshold), score percentages, user choices vs. correct answers, and full explanations for every question, if they included in the decks. Also supports shuffling option note types. Exam History Tracking: Locally saves your past exam sessions so you can consult historical scores or review past explanations anytime.

💻 Requirements Anki Desktop only (Windows, macOS, Linux). This add-on relies on desktop user interface components and custom web views, so it is not compatible with mobile versions like AnkiDroid or AnkiMobile.

🚀 Quick Start Guide (after installation)

1. Open Anki Desktop and go to Tools > Exam Simulator.
2. Select your tags and assign random question quotas.
3. Choose whether to run the Closed-Book Simulation Window or generate a Filtered Deck.
4. Complete your exam, view your detailed score breakdown, and check your history anytime via the manager!

I hope this add-on helps you preparing your exams and I wish you all the best.

MULTIPLE CHOICE INTERACTIVE NOTE WITH ROTATING OPTIONS CODE: FRONT:

BACK:

STYLE: .card { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; font-size: 16px; background-color: #f8f9fa; color: #202124; display: flex; justify-content: center; padding: 24px 16px; }

.nightMode .card { background-color: #1a1a1b; color: #d7dadc; }

.card-container { max-width: 680px; width: 100%; }

.question { font-size: 1.15rem; font-weight: 600; margin-bottom: 20px; line-height: 1.45; border-bottom: 2px solid #e0e0e0; padding-bottom: 12px; }

.nightMode .question { border-bottom-color: #3e4042; }

.choices { display: flex; flex-direction: column; gap: 10px; }

.choice-btn { display: flex; align-items: center; text-align: left; width: 100%; padding: 12px 16px; border-radius: 8px; border: 1.5px solid #dadce0; background: #ffffff; font-size: 15px; cursor: pointer; outline: none; transition: all 0.15s ease; color: inherit; box-sizing: border-box; }

.nightMode .choice-btn { background: #272729; border-color: #3e4042; }

.choice-btn:hover { border-color: #1a73e8; background-color: #f1f3f4; }

.nightMode .choice-btn:hover { background-color: #32353b; }

.choice-letter { display: inline-flex; justify-content: center; align-items: center; width: 26px; height: 26px; background: #e8f0fe; color: #1a73e8; border-radius: 50%; font-weight: 700; margin-right: 12px; flex-shrink: 0; }

.nightMode .choice-letter { background: #173153; color: #8ab4f8; }

.status-icon { margin-left: auto; font-size: 16px; padding-left: 8px; }

/* Static result view on back */ .choice-result { cursor: default !important; }

/* Incorrect choice (Red) */ .choice-result.is-wrong { border-color: #d93025 !important; background-color: #fce8e6 !important; color: #c5221f !important; }

.nightMode .choice-result.is-wrong { background-color: #442726 !important; border-color: #ea4335 !important; color: #f28b82 !important; }

/* Correct choice (Green) */ .choice-result.is-correct { border-color: #1e8e3e !important; background-color: #e6f4ea !important; color: #137333 !important; font-weight: 600; }

.nightMode .choice-result.is-correct { background-color: #133924 !important; border-color: #34a853 !important; color: #81c995 !important; }

/* Result Banner */ .result-banner { margin-top: 16px; padding: 10px 14px; border-radius: 8px; font-weight: 600; font-size: 14px; text-align: center; }

.result-banner.success { background-color: #e6f4ea; color: #137333; border: 1px solid #34a853; }

.nightMode .result-banner.success { background-color: #133924; color: #81c995; border-color: #34a853; }

.result-banner.error { background-color: #fce8e6; color: #c5221f; border: 1px solid #ea4335; }

.nightMode .result-banner.error { background-color: #442726; color: #f28b82; border-color: #ea4335; }

.result-banner.info { background-color: #e8f0fe; color: #1a73e8; border: 1px solid #8ab4f8; }

.nightMode .result-banner.info { background-color: #173153; color: #8ab4f8; border-color: #4285f4; }

/* Explanation Box */ .explanation-box { margin-top: 20px; padding: 16px; border-radius: 8px; background-color: #fef7e0; border-left: 5px solid #f9ab00; line-height: 1.5; }

.nightMode .explanation-box { background-color: #332b00; border-left-color: #fdd663; }

.explanation-title { font-weight: bold; color: #b06000; margin-bottom: 6px; }

.nightMode .explanation-title { color: #fdd663; }

Created by Marco Zavagnin | Powered by Gemini AI (2026)