← 返回 Skills 市场
202
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install vibe-reading-cn
功能描述
AI 驱动的智能书籍阅读分析技能。当用户提供 EPUB 或 TXT 格式的书籍文件时， 将其智能拆分为章节，逐章深度分析与总结，输出 Markdown 总结和交互式 HTML 阅读器。 兼容 OpenClaw 使用的任何 LLM 模型。
安全使用建议
This skill is internally consistent with its stated purpose, but before installing consider: (1) the SKILL.md will direct the agent to run local commands and to pip-install Python packages — run it in an isolated or controlled environment if you are cautious; (2) outputs are written to local folders (input/, chapters/, summaries/, html/) so check or sandbox where those files are stored; (3) the skill asks for high-fidelity rewrites that may reproduce copyrighted text verbatim — ensure you have rights or user consent to process the provided books; (4) the source is listed as unknown/third-party (GitHub link in metadata) — if you need stronger assurance, inspect the upstream repository or test the skill in a restricted environment before using it with sensitive or proprietary documents.
功能分析
Type: OpenClaw Skill
Name: vibe-reading-cn
Version: 2.0.0
The skill is a legitimate AI-driven book analysis tool designed to process EPUB and TXT files. It uses standard Python libraries (ebooklib, beautifulsoup4) and basic bash commands for file processing and summarization, with explicit instructions in SKILL.md to avoid embedding sensitive information like API keys in the generated HTML output.
能力评估
Purpose & Capability
Name/description match the runtime instructions: the SKILL.md describes extracting text from EPUB/TXT, splitting into chapters, producing per-chapter Markdown summaries and a static HTML reader. The only runtime dependency declared is python3, which aligns with the instruction to use ebooklib/BeautifulSoup for EPUB parsing.
Instruction Scope
Instructions remain within the stated purpose (file parsing, chapter detection, summarization, local file outputs). They explicitly instruct the agent to run local commands (bash line counts, save files under input/, chapters/, summaries/, html/) and to pip-install ebooklib and beautifulsoup4 if missing. A notable non-security but important point: the skill requires producing 'high-fidelity' condensed rewrites that preserve original examples and dialogue, which may lead to near-verbatim reproduction of copyrighted text—this is a legal/copyright consideration, not a coherence/security mismatch.
Install Mechanism
There is no install spec in the registry (instruction-only), which is low risk. The SKILL.md tells the agent to run `pip install ebooklib beautifulsoup4` if needed — a normal network package install from PyPI. This is expected for EPUB parsing but does require network access to PyPI and will write packages to the environment.
Credentials
The skill requests no environment variables, no credentials, and no config paths. All file I/O is scoped to local paths under input/, chapters/, summaries/, and html/, which aligns with the processing task.
Persistence & Privilege
The skill is not marked always:true and does not request elevated or persistent platform privileges. It does not modify other skills or global agent configs according to the provided SKILL.md.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install vibe-reading-cn - 安装完成后，直接呼叫该 Skill 的名称或使用
/vibe-reading-cn触发 - 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
v2.0.0
Major rewrite: Remove all Gemini SDK dependencies, exec() calls, and undeclared API keys. Pure instruction-based skill now compatible with any LLM model (GLM, Claude, Gemini, etc.). No external API keys needed. Resolves security scan flags.
v1.1.0
添加 GitHub Star CTA 和 ClawHub 兼容元数据
v1.0.0
Initial OpenClaw release - 中文版智能书籍阅读分析技能
元数据
常见问题
Openclaw 是什么？
AI 驱动的智能书籍阅读分析技能。当用户提供 EPUB 或 TXT 格式的书籍文件时， 将其智能拆分为章节，逐章深度分析与总结，输出 Markdown 总结和交互式 HTML 阅读器。 兼容 OpenClaw 使用的任何 LLM 模型。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 202 次。
如何安装 Openclaw？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install vibe-reading-cn」即可一键安装，无需额外配置。
Openclaw 是免费的吗？
是的，Openclaw 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Openclaw 支持哪些平台？
Openclaw 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 Openclaw？
由 BillWang（@drbillwang）开发并维护，当前版本 v2.0.0。
推荐 Skills