Study

Structure study sessions, manage materials, and prepare for exams with active recall techniques.

MIT-0 · Free to use, modify, and redistribute. No attribution required.
2 · 877 · 3 current installs · 3 all-time installs
byIván@ivangdavila
MIT-0
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Benign
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Benign
high confidence
Purpose & Capability
Name/description (study planning, flashcards, exam prep) align with the included docs and required actions (create ~/study/ folders, generate quizzes, track progress). There are no unrelated dependencies, binaries, or credentials requested.
Instruction Scope
SKILL.md and companion docs confine operations to ~/study/ and local files (config.json, subjects, calendar). The instructions explicitly forbid storing data outside ~/study/. The docs are occasionally high-level (e.g., ‘AI enforces’ timers/quizzes) which gives the agent some discretion about how to run sessions — but nothing in the text instructs reading unrelated system files or phone-home behavior.
Install Mechanism
No install spec and no code files — instruction-only skill. Lowest-risk install posture (nothing written to disk by an installer beyond what the agent itself may create in ~/study/ as documented).
Credentials
No environment variables, credentials, or config paths are requested. The skill's local file usage (~/study/) is proportional to its stated purpose.
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request elevated or persistent system privileges or modify other skills' configs; it only instructs creating and using files under the user's home directory.
Assessment
This skill appears internally consistent for organizing study materials and running active-recall sessions. Before installing, consider: (1) confirm you are comfortable with the skill creating and storing files under ~/study/ (it will create subjects/, calendar/, config.json, etc.); (2) do not store sensitive personal data or credentials in those files; (3) review your agent/platform-wide network and autonomous-invocation permissions—while the skill's docs do not request network access, the platform agent could still access external services if given that ability; (4) you may want to back up or version-control ~/study/ or place it in a directory of your choosing; (5) if you need stricter limits, ask the skill owner for explicit bounds (e.g., no network calls, read-only mode). Overall, there are no red flags in the skill text or included files.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.1
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

📚 Clawdis
OSLinux · macOS · Windows

SKILL.md

Data Storage

~/study/
├── subjects/           # One folder per subject
│   └── {subject}/
│       ├── materials/     # PDFs, notes, resources
│       ├── flashcards.json
│       ├── schedule.md
│       └── progress.md
├── calendar/           # Exam dates, deadlines
│   └── deadlines.json
└── config.json         # Preferences

Create on first use: mkdir -p ~/study/{subjects,calendar}

Scope

This skill:

  • ✅ Creates study plans in ~/study/
  • ✅ Manages materials and flashcards
  • ✅ Tracks deadlines and exam dates
  • ✅ Guides study sessions with active recall
  • ❌ NEVER generates content student should create themselves
  • ❌ NEVER stores data outside ~/study/

Quick Reference

TopicFile
Study techniquestechniques.md
Subject strategiessubjects.md
Exam preparationexams.md

Core Rules

1. Workflow

Plan Semester → Weekly Schedule → Daily Sessions → Review → Exam Prep

2. AI Scaffolds, Student Creates

  • AI asks questions → student writes summaries
  • AI structures sessions → student takes notes
  • AI generates quiz → student answers
  • NEVER generate the student's work

3. Adding a Subject

  1. Create ~/study/subjects/{subject}/
  2. Set exam date in deadlines.json
  3. Estimate weekly hours needed
  4. Generate initial schedule

4. Study Session Flow

  1. Start: What topic? How long?
  2. Active recall: Questions first, answers second
  3. Practice: Problems, not just reading
  4. Summary: Student writes key points
  5. Schedule: Next session based on spaced repetition

5. Exam Preparation

When exam approaches (≤2 weeks):

  1. Review all flashcards with SR
  2. Practice past exams if available
  3. Identify weak areas from progress.md
  4. Create focused review plan

6. Configuration

In ~/study/config.json:

{
  "level": "undergraduate",
  "technique": "pomodoro",
  "session_minutes": 25,
  "break_minutes": 5
}

7. Progress Tracking

In {subject}/progress.md:

## Topics
- [x] Chapter 1: Intro (mastered)
- [~] Chapter 2: Basics (in progress)
- [ ] Chapter 3: Advanced (not started)

## Weak Areas
- Integration techniques
- Proof by induction

Files

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