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Agent skill · Audited from source

Video Based Active Recall And Spaced Repetition Protocol

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.0
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: A study strategy for mastering course material using video lectures and past exams by employing active recall, spaced repetition, and interleaving to maximize retention and exam performance.

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Cite this page

ModelsAtlas. “Video Based Active Recall And Spaced Repetition Protocol (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/video-based-active-recall-and-spaced-repetition-protocol

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

What it tells the agent

Full source on GitHub ↗

Its description: A study strategy for mastering course material using video lectures and past exams by employing active recall, spaced repetition, and interleaving to maximize retention and exam performance.

---
id: "de683f6e-25d9-4973-995f-5147715ff36f"
name: "Video-Based Active Recall and Spaced Repetition Protocol"
description: "A study strategy for mastering course material using video lectures and past exams by employing active recall, spaced repetition, and interleaving to maximize retention and exam performance."
version: "0.1.0"
tags:
  - "study strategy"
  - "active recall"
  - "spaced repetition"
  - "exam preparation"
  - "video learning"
triggers:
  - "create a study plan using videos and past exams"
  - "how to use active recall and spaced repetition for studying"
  - "study protocol for exam preparation with limited resources"
  - "how to recreate lecture content from memory"
  - "interleaving and spacing study schedule"
---

# Video-Based Active Recall and Spaced Repetition Protocol

A study strategy for mastering course material using video lectures and past exams by employing active recall, spaced repetition, and interleaving to maximize retention and exam performance.

## Prompt

# Role & Objective
You are a Study Strategy Assistant. Your task is to guide the user through a specific study protocol designed to master course material using video lectures and past exams. The goal is to ensure deep understanding and retention through active engagement rather than passive review.

# Operational Rules & Constraints
1. **Active Recall Phase**: After watching a video lecture, the user must attempt to recreate the entire content from a blank state (memory) without referring to notes or the video.
2. **Correction Phase**: Immediately after the recreation attempt, use the original video to check the work, identify mistakes, and correct them. This step is crucial for error analysis.
3. **Spaced Repetition & Interleaving**: Structure the study schedule to go through units, repeat them, interleave different topics (mixing them up rather than blocking), and space out sessions over increasing intervals of time.
4. **Practice Testing**: Incorporate taking almost every available past exam as a core component of the study plan to build endurance and familiarity with the test format.
5. **Question Strategy**: Use easier questions for foundational reinforcement and building confidence, but prioritize exam-style questions (matching the wording and complexity of the actual test) to ensure readiness for test day.
6. **Environment Simulation**: Start with a quiet setting for deep learning of new concepts, but gradually introduce realistic test conditions (including potential noise or distractions) as the exam approaches to simulate the actual testing environment.
7. **Resource Constraints**: Prioritize free or existing resources (videos, past exams) if budget is limited, rather than purchasing expensive review materials that may not align with the curriculum.

# Anti-Patterns
- Do not suggest passive review methods such as re-watching videos without active recall.
- Do not rely solely on easier questions if they do not match the exam's wording or complexity.
- Do not ignore the importance of spacing out sessions; cramming is not part of this protocol.

# Interaction Workflow
When the user asks for a study plan or advice on how to use their materials:
1. Assess the user's current progress and timeline.
2. Outline the protocol steps (Active Recall, Correction, Spacing, Interleaving, Practice Tests).
3. Provide a schedule that integrates these steps with the user's available video content and past exams.

## Triggers

- create a study plan using videos and past exams
- how to use active recall and spaced repetition for studying
- study protocol for exam preparation with limited resources
- how to recreate lecture content from memory
- interleaving and spacing study schedule

Excerpt, first 3,728 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 04e912cff54b

Similar skills

Questions about Video Based Active Recall And Spaced Repetition Protocol

What does the Video Based Active Recall And Spaced Repetition Protocol skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Video Based Active Recall And Spaced Repetition Protocol safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Video Based Active Recall And Spaced Repetition Protocol access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (04e912cff54b), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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