Read It Later

v1.0.0

Save and retrieve "read it later" content - links, articles, notes, and ideas for future reference. Use when the user wants to (1) save a link, URL, article,...

1· 384·1 current·1 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for zhoujackie0609/read-it-later.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Read It Later" (zhoujackie0609/read-it-later) from ClawHub.
Skill page: https://clawhub.ai/zhoujackie0609/read-it-later
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install zhoujackie0609/read-it-later

ClawHub CLI

Package manager switcher

npx clawhub@latest install read-it-later
Security Scan
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Suspicious
medium confidence
Purpose & Capability
Name/description (save & retrieve read-later items) aligns with instructions to read/write a markdown file in the workspace or home directory. However, the SKILL.md requires automatically fetching and analyzing remote URLs using 'kimi_fetch' which is not declared as a required binary/dependency — that is an unexplained requirement.
!
Instruction Scope
Instructions explicitly read and write ~/read-it-later.md or a workspace read-it-later.md (expected). They also instruct automatic fetching of URL content and content analysis. Automatic fetching implies network access and retrieval of potentially large or sensitive web content; the SKILL.md does not declare how fetched data is handled beyond local storage nor what tool/environment will perform the fetch. No instructions attempt to read unrelated system files, but the unspecified fetch step broadens the runtime surface.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing is downloaded or written by an installer per the provided metadata.
Credentials
Skill requests no environment variables, credentials, or special config paths — this is proportionate to a local markdown-based read-later tool. The only oddity is the use of 'kimi_fetch' without declaring it as a required binary or dependency.
Persistence & Privilege
always is false and the skill is user-invocable; it does read/write a file in the user's home or workspace but does not request elevated or persistent platform-level privileges. No evidence it would modify other skills or global agent configuration.
What to consider before installing
This skill is mostly coherent for a local 'read it later' markdown-based tool: it will read and update ~/read-it-later.md or a workspace file and can mark items read/archived. Two things to check before installing or enabling it: (1) The SKILL.md says it will automatically fetch and analyze webpage content using a tool called 'kimi_fetch' but that tool is not declared — ask what 'kimi_fetch' is (a platform tool, an external binary, or a hidden dependency) and whether network access is required. Automatic fetching will retrieve remote content and store analysis locally, which may expose sensitive page contents to the agent's runtime. (2) The skill's source is unknown and there is no homepage; if you care about provenance or privacy, prefer skills with identified authorship or inspect the implementation. If you proceed, ensure you are comfortable with the agent having permission to access the network and to read/write the indicated file, and consider keeping backups of read-it-later.md or restricting the skill to a dedicated workspace.

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

latestvk97ayyr4zsbqx1b0eevrn2hgqh82cvmp
384downloads
1stars
1versions
Updated 3d ago
v1.0.0
MIT-0

Read It Later

帮助用户保存和调取稍后阅读的内容。

核心功能

1. 保存内容

当用户想要保存内容时:

  1. 读取 read-it-later.md 文件(如果不存在则创建)
  2. 将新内容按格式追加到文件中

存储格式:

## [类别标签] 标题/摘要

- **来源**: URL 或来源说明
- **添加时间**: YYYY-MM-DD HH:mm
- **状态**: 未读 / 已读 / 归档

内容摘要或用户备注...

---

支持的输入类型:

  • URL/链接
  • 文章标题 + 链接
  • 纯文本笔记/想法
  • 图片/文件(保存路径或描述)

2. 调取内容

当用户想要查看已保存的内容时:

  1. 读取 read-it-later.md
  2. 根据用户需求筛选:
    • 按状态筛选(未读/已读/全部)
    • 按标签筛选
    • 按日期范围筛选
    • 关键词搜索

3. 更新状态

支持标记内容状态:

  • 未读已读
  • 移动到 归档

文件位置

默认存储位置:~/read-it-later.md

如果工作区中有 read-it-later.md,优先使用工作区内的文件。

使用示例

保存:

  • "帮我保存这个链接 https://example.com/article"
  • "记一下:稍后看这篇关于AI的文章"
  • "read it later: 设计系统最佳实践"

调取:

  • "我保存的链接有哪些?"
  • "显示我的稍后阅读列表"
  • "找出关于[标签]的内容"
  • "标记这篇文章为已读"

工作流程

保存内容

  1. 确定文件路径(工作区或用户目录)
  2. 读取现有内容
  3. 解析用户输入,提取:
    • URL(如果有)
    • 标题/描述
    • 标签(用户指定或自动推断)
  4. 如果是 URL:自动抓取内容并打标签
    • 使用 kimi_fetch 获取网页内容
    • 分析内容主题
    • 自动选择最匹配的标签(从预定义标签中选择)
    • 提取或生成标题
  5. 按格式追加新条目
  6. 保存文件
  7. 确认保存成功,显示自动识别的标签

自动标签规则

预定义标签:

  • #ai - 人工智能、机器学习、大模型相关内容
  • #yc-combinator - YC、创业、融资相关内容
  • #podcast - 播客、音频内容
  • #技术 - 编程、开发、工具
  • #设计 - UI/UX、视觉设计
  • #产品 - 产品管理、运营、增长
  • #商业 - 商业分析、行业趋势
  • #待分类 - 无法确定分类时

自动打标逻辑:

  • 抓取 URL 内容后,分析主题
  • 选择 1-2 个最相关的标签
  • 如果内容涉及多个领域,选择最主要的
  • 无法确定时使用 #待分类

调取内容

  1. 确定文件路径
  2. 读取文件内容
  3. 根据筛选条件解析条目
  4. 格式化输出给用户

更新状态

  1. 读取文件
  2. 定位目标条目
  3. 修改状态字段
  4. 保存文件

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