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slipbot-instapaper-importerslipbot instapaper 进口商

Agent Skill

slipbot-instapaper-importer 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

27,086

周安装

1,140

GitHub Stars

公开资料未说明

下载量

9,485
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:slipbot-instapaper-importer(slipbot instapaper 进口商)
来源仓库:https://github.com/jrswab/slipbot-instapaper-importer
安装命令:
openclaw skills install slipbot-instapaper-importer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install slipbot-instapaper-importer

简介

将 Instapaper 导出的阅读笔记导入到滑箱中。当用户粘贴带有文章标题和注释的 Instapaper 突出显示导出时使用。从标题中解析标题/URL,提取用户自己的注释(纯文本行),跳过原始突出显示(> 行),然后为每个运行 slipbot。

SKILL.md

name
instapaper-import
description
Import reading notes from Instapaper exports into the slipbox. Use when user pastes an Instapaper highlight export with article title and notes. Parses title/URL from header, extracts user's own notes (plain text lines), skips original highlights (> lines), then runs slipbot for each.

Instapaper Import

Parse Instapaper highlight exports and create slipbox entries for user's notes.

Input Format

# [[Article Title](url)]
> Original highlight from article (SKIP)
User's note about the highlight (IMPORT)
> Another highlight (SKIP)
Another user note (IMPORT)

Key distinction:

  • > lines = Original article highlights → Skip these
  • Plain text lines = User's own ideas/takeaways → Import these as notes

Parsing Rules

Header Line

  1. Extract title from: # [[Title](url)]
  2. URL may be instapaper-private://... (private) or regular URL
  3. Source type: article
  4. Author: null (Instapaper doesn't include author)

Content Lines

  1. Lines starting with > = original highlights → skip
  2. Plain text lines after > lines = user notes → import
  3. Empty lines → skip
  4. Each user note becomes a separate slipbox entry

Workflow

  1. Parse header → extract article title and URL
  2. Extract user notes → collect plain text lines (not starting with >)
  3. Precheck → show user: article title, note count, ask for confirmation
  4. On confirmation → for each note, invoke slipbot:

- Type: note (- prefix) - Source: ~ article, {title} - Let slipbot handle: filename, tags, links, graph update

  1. Report → count of notes created

Example

Input:

# [[How to Learn Faster](https://example.com/article)]
> Get feedback more often
To learn faster we need faster feedback loops.
> Latent learning occurs without reinforcement
Testing yourself proactively speeds up learning.

Extracted notes:

  1. "To learn faster we need faster feedback loops."
  2. "Testing yourself proactively speeds up learning."

Slipbot calls:

- To learn faster we need faster feedback loops. ~ article, How to Learn Faster
- Testing yourself proactively speeds up learning. ~ article, How to Learn Faster

Edge Cases

  • No user notes (only > lines): Report "no notes to import"
  • Multi-line user notes: Treat each paragraph as separate note
  • Title with special chars: Preserve as-is for source metadata

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.73%
按下载量换算7,183

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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