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link-brain链接大脑

Agent Skill

link-brain 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

27,773

周安装

1,193

GitHub Stars

2

下载量

9,735
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:link-brain(链接大脑)
来源仓库:https://github.com/jakes420/link-brain
安装命令:
openclaw skills install link-brain
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 link-brain

简介

保存 URL 并构建可检索的知识库。

  • 支持自然语言搜索带摘要的链接集合。
  • 可用于信息归档和快速定位。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 需确认存储路径和网络访问权限。安装时按仓库提供的命令执行,建议先在测试环境验证依赖、命令权限和文件改动范围。
  • link-brain 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
link-brain
version
4.3.0
description
Local knowledge base for links. Save URLs with summaries and tags, search later using natural language, build collections, and review your backlog with spaced repetition. Includes a standalone HTML graph view.

Link Brain

Your personal bookmark graveyard, except things actually come back.

Quick Start

python3 scripts/brain.py quickstart           # auto-imports browser bookmarks + opens GUI
python3 scripts/brain.py save "https://example.com" --auto
python3 scripts/brain.py search "that article about sqlite"

First Run

On first run, use quickstart instead of setup. It:

  1. Creates the database
  2. Scans Chrome, Safari, and Firefox for bookmarks
  3. Imports everything it finds (skips duplicates)
  4. Generates the visual GUI console
  5. Returns JSON with import stats

setup also detects browsers and reports what it finds, but doesn't auto-import. Use quickstart when the user wants the fastest path to a working knowledge base.

What It Does

  • Saves URLs with titles, summaries, tags, and metadata
  • Full-text search with natural language filters
  • Auto-fetches and summarizes pages locally (no API keys)
  • Spaced repetition so your saved links don't rot
  • Collections for organizing reading lists
  • Knowledge graph visualization
  • Reading stats, streaks, and weekly digests
  • Imports from Chrome, Safari, Firefox, Pocket, YouTube, Reddit
  • Everything in SQLite. Everything on disk. No accounts. No telemetry.

Data lives in ~/.link-brain/. Override with LINK_BRAIN_DIR=/your/path.

Saving Links

Manual

You know the title. You know what it's about. Just tell it.

python3 scripts/brain.py save "https://docs.python.org" \
  --title "Python docs" \
  --summary "Standard library reference." \
  --tags "python, docs"

Auto

Point it at a URL. It fetches the page, extracts readable text, generates a summary, and suggests tags based on your existing collection. No LLM needed.

python3 scripts/brain.py auto-save "https://example.com"

Or equivalently:

python3 scripts/brain.py save "https://example.com" --auto

This is the only command that makes a network request. Everything else is local.

Finding Stuff

Search

SQLite FTS5 under the hood, but you can write queries like a person.

python3 scripts/brain.py search "last week unread from github"
python3 scripts/brain.py search "best rated rust"
python3 scripts/brain.py search "unrated videos from youtube"
python3 scripts/brain.py search "oldest unread" --limit 10

Tags

python3 scripts/brain.py tags                    # list all tags
python3 scripts/brain.py tags python             # links tagged "python"

Related

Find links that share tags with a specific one.

python3 scripts/brain.py related 42

Tag Suggestions

Get tag ideas for a URL based on your patterns.

python3 scripts/brain.py suggest-tags "https://example.com"

Discovery

When you don't know what to read next.

  • digest pulls a batch of links for review
  • recommend surfaces links based on your most-used tags
  • gems shows your highest-rated links and hidden finds
  • random grabs something from the backlog
python3 scripts/brain.py digest
python3 scripts/brain.py recommend
python3 scripts/brain.py gems
python3 scripts/brain.py random

Reading Tracking

python3 scripts/brain.py read 42                # mark as read
python3 scripts/brain.py unread                  # show unread links
python3 scripts/brain.py rate 42 5               # rate 1-5
python3 scripts/brain.py streak                  # current streak and activity
python3 scripts/brain.py insights                # reading personality, analytics
python3 scripts/brain.py weekly                  # weekly summary, WhatsApp-ready

streak tracks consecutive days you've read something. insights tells you things like your most active hours and top domains. weekly is a formatted digest you can send straight to a chat.

Collections

Reading lists that reference your saved links.

python3 scripts/brain.py collection create "Rust" --description "Systems stuff"
python3 scripts/brain.py collection add "Rust" 42
python3 scripts/brain.py collection show "Rust"
python3 scripts/brain.py collection list
python3 scripts/brain.py collection remove "Rust" 42
python3 scripts/brain.py collection export "Rust"            # markdown
python3 scripts/brain.py collection export "Rust" --html     # standalone HTML

Review Queue

Spaced repetition for your bookmarks. Every saved link enters the queue. Intervals grow as you review: 1 day, 3 days, 7 days, and so on.

python3 scripts/brain.py review                  # next due item
python3 scripts/brain.py review done 42          # reviewed, advance interval
python3 scripts/brain.py review skip 42          # not now
python3 scripts/brain.py review reset 42         # back to 1-day interval
python3 scripts/brain.py review stats            # queue overview

Auto-Save

The --auto flag on save (or the auto-save shortcut) handles fetching, summarizing, and tagging in one shot. It uses urllib to grab the page, extracts the readable content, and picks tags that match your existing vocabulary. No external services involved.

Knowledge Graph

python3 scripts/brain.py graph --open

Generates a standalone HTML file at ~/.link-brain/graph.html with an interactive canvas. Links are nodes. Shared tags are edges. No external JS libraries. Just open it in a browser.

GUI Console

python3 scripts/brain.py gui

Opens ~/.link-brain/console.html in your browser. Single self-contained HTML file, nothing external. Includes search, tag cloud, knowledge graph, collections, review queue, reading timeline, and dark/light mode.

Add --no-open to generate without launching.

Importing

Browsers

Pull bookmarks directly:

python3 scripts/brain.py scan chrome
python3 scripts/brain.py scan safari
python3 scripts/brain.py scan firefox

Reads from the browser's local bookmark storage. No export step needed.

Platforms

Import from exported files:

python3 scripts/brain.py import pocket_export.html
python3 scripts/brain.py import youtube_history.json
python3 scripts/brain.py import reddit_saved.csv

How to get your exports:

  • Pocket: Go to getpocket.com/export. You'll get an HTML file.
  • YouTube: Use Google Takeout. Select YouTube, then pick watch history. You'll get a JSON file.
  • Reddit: Go to reddit.com/prefs/data-request or old.reddit.com and export saved posts.

Syncing

Check for bookmarks that have been removed from a browser source:

python3 scripts/brain.py sync chrome
python3 scripts/brain.py sources              # see connected sources and sync status

Feedback

python3 scripts/brain.py feedback "your message"
python3 scripts/brain.py feedback --bug "something broke"
python3 scripts/brain.py feedback --idea "wouldn't it be cool if..."
python3 scripts/brain.py debug                # system info for bug reports

Config

All data is stored in ~/.link-brain/:

  • brain.db (SQLite database)
  • graph.html (knowledge graph output)
  • console.html (GUI console)
  • collection-*.md and collection-*.html (exported collections)

Override the directory:

LINK_BRAIN_DIR=/tmp/test-brain python3 scripts/brain.py setup

Tips

  • search understands time filters like "last week" and reading states like "unread" or "best rated"
  • Use --auto on every save unless you have a specific summary in mind. It's fast and surprisingly good.
  • review stats tells you how many links are overdue. Check it weekly.
  • gems is great for rediscovering old links you forgot you loved
  • Export a collection as HTML to share a reading list with someone
  • The graph gets more interesting after about 50 links. Before that, it's a bit lonely.
  • random is the "I'm bored" button
  • Combine scan with sync to keep browser bookmarks in check

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

91.59%
按下载量换算8,916

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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