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slipbotslipbot 搜索

Agent Skill

slipbot 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

50,819

周安装

2,036

GitHub Stars

3

下载量

16,451
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(slipbot 搜索)
来源仓库:https://github.com/jrswab/slipbot
安装命令:
openclaw skills install slipbot
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

简介

用于捕获和组织笔记、想法和引用内容。适合维护知识图谱和标记系统。

  • 适用于笔记管理、知识组织和内容链接场景。
  • 可自动标记、链接和分类各类文本素材。
  • 通过 openclaw skills install slipbot 安装。
  • 安装前建议确认权限范围和维护状态。slipbot 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
Slipbot
description
Used to capture and organize notes, ideas, quotes, and journal entries with automatic tagging, linking, and knowledge graph maintenance.

Configuration

Run pwd and get the {curDir}

  • Notes directory: {curDir}/slipbox/
  • Graph index: {curDir}/slipbox/.graph/graph.json
  • Timezone: User's local timezone (check USER.md or system)

Note Patterns & Types

Prefixes

  • > {content} → quote, contains attributed text.
  • ! {content} → idea, for speculative or creative thinking
  • * {content} → journal, for personal reflection and logs
  • - {content} → note, for information about subject

Delimiters

  • ~ {content} → source (appended after prefix+content combination)

- Example note with source: - Content here ~ Source Type, Source Title by Source Author - Example quote with source: > Content here ~ Source Type, Source Author

Workflow

1. Capture

When a note is recognized:

  1. Extract content and metadata

- Note content - Type (quote/idea/journal/note) - Source information (if provided)

  1. Generate filename

- Format: YYYYMMDD-HHMMSS-slug.md - Slug: lowercase, hyphenated, from content passed in (max 4-5 words) - Example: 20260131-143022-compound-interest.md

  1. Check for existing source

- If source is not provided set source: null. - If source provided, search existing notes for matching source title (case insensitive) - Use existing source if found - Otherwise, use provided source as-is - No external API calls - trust user input

  1. Generate tags

- Extract specific objects concepts (nouns) - Focus on: people, tools, techniques, systems, specific topics - Avoid broad categories like "productivity" or "ideas" - Consistency: Check existing tags before creating new ones - 2 or 3 tags per note - Examples: [pomodoro-technique, Cal-Newport, deep-work]

  1. Create markdown file
---
title: "Generated Note Title from Content"
date: 2026-01-31T14:30:22-05:00
type: note
tags: [specific, object, based, tags]
source:
  title: "Source Title"
  type: "book"
  author: "Author Name"
links: []
---

Note content here in markdown.

Note Titles

  • Descriptive but concise: 3-8 words
  • Avoid generic: Not "Thoughts" or "Notes", be specific
  • Question format works: "Why does X happen?" or "How to Y?"

2. Link

After creating a note, find connections:

  1. Search existing notes

- Look for related concepts, people, topics - Check for overlapping tags

  1. Determine connection type

- related - Similar topic or theme - extends - Builds on or expands another note - contradicts - Opposing viewpoint - references - Mentions same person/book/concept - supports - Provides evidence for another note

  1. Add bidirectional links

- Update both notes' frontmatter - Include reason for connection

Quality over quantity: Only link when genuinely related

links:
  - id: "20260120-093045-compound-interest"
    type: related
    reason: "Both discuss exponential growth concepts"

3. Note Validations

3.1: Validate frontmatter - Ensure the note has the required fields - title - date - type - tags

3.2: Remove broken links - Check if notes that the new note links to still exist - If any files are missing save them to {curDir}/slipbox/missing.md

4. Update Graph

After capture and linking:

4.1: Load graph index - Read {curDir}/slipbox/.graph/graph.json

4.2: Add/update note entry

{
  "notes": {
    "20260131-143022-note-title.md": {
      "title": "Your Note Title",
      "source": {
        "title": "Source Title",
        "type": "book",
        "author": "Author Name"
      },
      "type": "note",
      "tags": ["tag1", "tag2"],
      "links": [
          "20260120-093045-other-note.md",
      ]
    }
  },
  "last_updated": "2026-01-31T14:35:00-05:00"
}

4.3: Remove any entries from graph - Read {curDir}/slipbox/missing.md - If any notes are found missing remove the entry from the graph. - Then remove them from {curDir}/slipbox/missing.md

4.4: Rebuild graph - If corrupted beyond simple note removals, rebuild from the current note files.

4.5: Write updated graph - Save back to {curDir}/slipbox/.graph/graph.json

Querying

Respond to natural queries like: "Show me notes about X"

Approach:

  1. Search graph index first (fast); only fall back to file search if needed.
  2. Present results with titles, dates, snippets
  3. Offer to show full content if relevant

User Feedback

Keep responses minimal:

  • ❌ Don't narrate every step unless debugging

Example Interaction

User: "- The Feynman Technique is about teaching concepts to identify gaps in understanding"

You:

  1. Create 20260131-163500-feynman-technique.md
  2. Tag: [Feynman-technique, learning, teaching]
  3. Search for related notes (study techniques, learning methods)
  4. Link to any relevant note about learning
  5. Update graph index
  6. Reply: "Note captured: Feynman Technique"

When to apply this skill: Whenever user shares content that starts with the defined prefixes the content which follows should be captured for later reference.

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

93.08%
按下载量换算15,313

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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