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second-brain-ai第二脑 AI

Agent Skill

second-brain-ai 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

10,067

周安装

428

GitHub Stars

公开资料未说明

下载量

3,527
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:second-brain-ai(第二脑 AI)
来源仓库:https://github.com/harrylabsj/second-brain-ai
安装命令:
openclaw skills install second-brain-ai
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 second-brain-ai

简介

second-brain-ai 读取本地 Markdown 知识库(Obsidian/Logseq 风格),支持上下文检索与关联。

  • 适用于个人知识管理、项目复盘或长期记忆增强型 Agent 协作场景。
  • 支持受控写入操作,可在授权范围内更新笔记结构而不破坏原始文件。
  • 需明确指定知识库路径,并确保文件权限与同步机制符合数据安全要求。
  • 写入行为可能影响本地文件,建议提前备份重要资料并在沙箱环境测试。

SKILL.md

name
second-brain-ai
description
Read, capture, search, relate, and assemble context from a user-specified local Markdown knowledge base (Obsidian/Logseq style). Supports controlled write operations with explicit approval and attribution. Use when the user wants a Second Brain / note-vault memory layer for Markdown notes, including saving ideas, searching past notes, finding related notes or backlinks, building context packs, appending to existing notes (with attribution), or getting smart link suggestions.

Second Brain AI Skill v2.0 (Repair Build)

A lightweight skill for working with a user-chosen Markdown knowledge base with controlled write operations and attribution requirements.

Requirements

  • Node.js >= 16.0.0
  • Environment variable SECOND_BRAIN_VAULT must be set explicitly
  • Optional: Frontmatter support (YAML)
  • Optional: WikiLinks support [[Note Title]]

Configuration

export SECOND_BRAIN_VAULT="/absolute/path/to/your/vault"

Safety Boundaries

  • Only operates within the configured vault path
  • Write operations require allow_write: true
  • Append operations require appended_by attribution

Tools

1. init_vault

Initialize a new vault with standard folder structure.

Input: { "allow_write": true }

2. capture_note

Create a new note.

Input:

{
  "allow_write": true,
  "title": "Note Title",
  "content": "Body content",
  "type": "idea",
  "tags": ["tag1", "tag2"],
  "links": ["Related Note"]
}

3. append_note

Append content to an existing note with attribution.

Input:

{
  "allow_write": true,
  "title": "Note Title",
  "content": "Additional content",
  "section": "Updates",
  "appended_by": "Agent Name"
}

Required: appended_by must identify who is appending.

4. search_notes

Search notes by keywords.

Input: { "query": "search terms", "limit": 5 }

5. find_related

Find notes related to a topic.

Input: { "topic": "Topic Name", "limit": 5 }

6. get_backlinks

Get notes that link to a specific note.

Input: { "note_title": "Target Note" }

7. build_context_pack

Build a context pack for agent consumption.

Input: { "topic": "Topic", "limit": 10 }

8. suggest_links

Get smart link suggestions for a note.

Input: { "title": "Note Title", "limit": 5 }

9. rebuild_index

Refresh index (currently returns skip status as SQLite is not implemented).

Input: {}

Note Format

Standard frontmatter:

---
id: 20260313
title: Note Title
type: idea
tags: [tag1, tag2]
created: 2026-03-13
updated: 2026-03-13
status: active
---

Append Attribution Format

When appending, the skill adds:

> Append Record
> Added by: {appended_by}
> Added at: {timestamp}

{content}

Limitations (Repair Build)

  • SQLite indexing is not implemented; uses file-based scanning
  • No semantic/vector search
  • No automatic link insertion
  • No conflict detection
  • Single vault only

Testing

npm test

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

90.16%
按下载量换算3,180

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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