← Back to Skills Marketplace
keepfit44

Study Buddy

by Joe · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ⚠ suspicious
261
Downloads
0
Stars
0
Active Installs
3
Versions
Install in OpenClaw
/install studyclaw
Description
Interactive study assistant that creates flashcards, quizzes, and spaced repetition reviews from any source material (notes, PDFs, photos, text, URLs). Use w...
Usage Guidance
What to consider before installing: - The skill promises automatic extraction from URLs, PDFs, and photos, but the included code only manages flashcard decks locally. Expect the agent to either ask you to paste text or rely on the language model to extract/interpret content rather than running OCR or fetching pages itself. If you need automatic PDF/URL/photo processing, ask the developer for explicit code (e.g., use of requests, pdfminer/pypdf, pytesseract) or a clear statement that the model will not fetch/process files. - Decks are stored unencrypted as JSON under ~/.openclaw/study-buddy/decks. Do not store sensitive personal data or secrets in cards unless you accept local plaintext storage. - The skill requires only python3 and no credentials, which is good. Still be cautious about supplying URLs or uploads — the agent might fetch or summarize external pages depending on its runtime environment and network permissions. - If you want to trust this skill more: request the author to include or document the extraction pipeline (which libraries are used, whether network access is required, and how uploaded images/PDFs are processed) and to provide tests or a README describing how external inputs are handled. If the missing capabilities are acceptable (you will paste text yourself), the deck manager appears straightforward and low-risk.
Capability Analysis
Type: OpenClaw Skill Name: studyclaw Version: 1.2.0 The 'studyclaw' skill bundle is a well-structured study assistant that manages flashcards and quizzes using the SM-2 spaced repetition algorithm. The core logic in `scripts/deck_manager.py` handles local file operations within a dedicated directory in the user's home folder and includes basic path sanitization to prevent traversal. There are no network calls, obfuscated code, or instructions that suggest data exfiltration or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description promise: extract from PDFs, photos, URLs, detect language, and process a variety of inputs. Actual requirements and code: only python3 is required and the repository includes a deck_manager.py that only creates/manages JSON decks and scheduling. There is no code that performs web fetching, PDF parsing, OCR, or language detection. This mismatch means either the LLM is expected to do extraction or the skill is incomplete.
Instruction Scope
SKILL.md instructs the agent to 'Extract and analyze the content' from URLs, PDFs, photos and to 'fetch content' per references/guidelines.md, but the provided runtime code does not implement fetching/OCR/parsing. The instructions are somewhat open-ended about how to obtain and process inputs (implies network access and file parsing may be needed). The skill also stores decks under ~/.openclaw/study-buddy/decks (clear and expected), but there is no explicit guidance about handling sensitive content.
Install Mechanism
No install spec (instruction-only) and only python3 is required. Nothing is downloaded or written beyond the provided script; low installation risk.
Credentials
No environment variables, credentials, or external config paths are requested. Storage location is local (~/.openclaw/study-buddy/decks) which is proportionate for a flashcard manager.
Persistence & Privilege
Skill is not always-enabled and does not request elevated privileges. It writes its own deck files under a user-local path, which is expected for this purpose.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install studyclaw
  3. After installation, invoke the skill by name or use /studyclaw
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
Python best practices: type hints, docstrings, named constants, logging, input validation, __all__
v1.1.0
Add python3 requires, optimize SKILL.md structure, move guidelines to references
v1.0.0
Initial release: flashcards, quizzes, spaced repetition (SM-2), practice exams, deck management, multilingual support
Metadata
Slug studyclaw
Version 1.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 3
Frequently Asked Questions

What is Study Buddy?

Interactive study assistant that creates flashcards, quizzes, and spaced repetition reviews from any source material (notes, PDFs, photos, text, URLs). Use w... It is an AI Agent Skill for Claude Code / OpenClaw, with 261 downloads so far.

How do I install Study Buddy?

Run "/install studyclaw" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Study Buddy free?

Yes, Study Buddy is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Study Buddy support?

Study Buddy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Study Buddy?

It is built and maintained by Joe (@keepfit44); the current version is v1.2.0.

💬 Comments