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Study Buddy

作者 Joe · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ⚠ suspicious
261
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install studyclaw
功能描述
Interactive study assistant that creates flashcards, quizzes, and spaced repetition reviews from any source material (notes, PDFs, photos, text, URLs). Use w...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install studyclaw
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /studyclaw 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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
元数据
Slug studyclaw
版本 1.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

Study Buddy 是什么?

Interactive study assistant that creates flashcards, quizzes, and spaced repetition reviews from any source material (notes, PDFs, photos, text, URLs). Use w... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 261 次。

如何安装 Study Buddy?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install studyclaw」即可一键安装,无需额外配置。

Study Buddy 是免费的吗?

是的,Study Buddy 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Study Buddy 支持哪些平台?

Study Buddy 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Study Buddy?

由 Joe(@keepfit44)开发并维护,当前版本 v1.2.0。

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