← 返回 Skills 市场
阅读清单
作者
yang1002378395-cmyk
· GitHub ↗
· v1.0.0
· MIT-0
310
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install reading-list
功能描述
管理和追踪阅读清单，支持添加文章、进度更新、智能推荐、笔记整理及阅读统计分析。
安全使用建议
This skill appears to be a plain instruction-only reading-list helper, but it documents storing data at ~/.openclaw/workspace/memory/reading-list.json even though the registry lists no config paths — ask the author to confirm where data is stored and whether the agent will create/modify that file. Also confirm how exports to Notion/Obsidian and reminders work: if they integrate with external services, they'll need API tokens (which are not declared). Because this is instruction-only, the agent itself will perform any web fetches/summaries; consider whether you are comfortable letting the agent access remote URLs and write a file under your home directory. If you want to proceed, back up that path first, and request the author to (a) document exactly which network calls occur, (b) explain export/auth flows, and (c) optionally allow configuring the storage path.
功能分析
Type: OpenClaw Skill
Name: reading-list
Version: 1.0.0
The skill bundle contains only metadata and documentation (SKILL.md) for a reading list management tool. There is no executable code, and the instructions provided to the AI agent are strictly aligned with the stated purpose of managing articles, tracking reading progress, and generating summaries. No indicators of data exfiltration, malicious execution, or prompt injection were found.
能力评估
Purpose & Capability
Name/description (管理和追踪阅读清单、推荐、笔记、导出等) align with the SKILL.md features. However the manifest declared no config paths or credentials while the README explicitly states data is stored at ~/.openclaw/workspace/memory/reading-list.json — this is an undeclared persistent storage location and a mismatch with the registry metadata.
Instruction Scope
SKILL.md instructs the agent to add/remove/archive items, summarize URLs/PDFs/Markdown, and export/share. It explicitly names a local storage path for the reading list. The instructions do not specify how external content (URLs, PDFs) will be fetched/parsed or how exports to Notion/Obsidian or reminders are implemented, leaving open whether the agent will access the network, local files, or require external credentials.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing will be downloaded or written by an installer step.
Credentials
The skill declares no required environment variables or credentials, which is consistent with a purely local reading-list. However the SKILL.md mentions exports (Notion/Obsidian) and reminders which typically require API keys or access to notification channels; the absence of any declared env vars or instructions for obtaining credentials is an unresolved inconsistency.
Persistence & Privilege
The skill will persist data to a user home path (~/.openclaw/workspace/memory/reading-list.json) per its documentation. That file location was not declared in the registry metadata. While storing a reading list locally is plausible, persistence to a hard-coded path without prior declaration is a privacy/consent concern and should be confirmed.
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 reading-list - 安装完成后，直接呼叫该 Skill 的名称或使用
/reading-list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
v1.0.0
首发
元数据
常见问题
阅读清单 是什么？
管理和追踪阅读清单，支持添加文章、进度更新、智能推荐、笔记整理及阅读统计分析。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 310 次。
如何安装 阅读清单？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install reading-list」即可一键安装，无需额外配置。
阅读清单 是免费的吗？
是的，阅读清单 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
阅读清单 支持哪些平台？
阅读清单 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 阅读清单？
由 yang1002378395-cmyk（@yang1002378395-cmyk）开发并维护，当前版本 v1.0.0。
推荐 Skills