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obsidian-searchObsidian 搜索

Agent Skill

obsidian-search 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

4,889

周安装

210

GitHub Stars

公开资料未说明

下载量

1,714
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:obsidian-search(Obsidian 搜索)
来源仓库:https://github.com/snoopyrain/obsidian-search
安装命令:
openclaw skills install obsidian-search
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 obsidian-search

简介

基于 AI 向量嵌入实现语义级笔记搜索。

  • 支持按含义、标签、日期等多维度过滤。
  • 使用 openclaw skills install obsidian-search 安装。
  • 需确认向量模型是否本地化或云端调用。
  • 建议定期更新索引以提升召回率。obsidian-search 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
obsidian-search
description
Semantic search for Obsidian notes using AI vector embeddings. Find notes by meaning, discover connections, filter by tags/dates/folders, and retrieve full content. Use when the user says 'search my notes', 'find in Obsidian', 'what did I write about', 'related notes', 'Obsidian search', or wants AI-powered knowledge retrieval from their Obsidian vault.
version
1.0.0
metadata
openclaw
emoji
🔍
homepage
https://obsidian.10xboost.org/

Obsidian Search

AI-powered semantic search for your Obsidian notes — find notes by meaning, not just keywords. Powered by Obvec.

Security & Data Handling

  • MCP link is a credential: Your MCP Server URL (https://rag.10xboost.org/mcp?token=xxxxx) contains an embedded authentication token. Treat it like a password — do not share it publicly.
  • Token scope: The token grants read-only access. It can search, list, retrieve note content, and analyze connections. It cannot modify, delete, or create notes in your Obsidian vault.
  • Token lifetime: Tokens are valid for 30 days. After expiry, you will need to get a new MCP link from obsidian.10xboost.org. You can also regenerate the token at any time in Settings, which invalidates any previously shared links.
  • Where the token is stored: The token is generated server-side by Obvec. When you paste the MCP link into a Claude Connector or MCP client config, that client stores the link locally on your device. Revoking or regenerating the token server-side invalidates all copies.
  • Your note data: To provide semantic search, your Obsidian note content is uploaded to the Obvec server and stored as text and vector embeddings. This means your note content is stored on a third-party server (Obvec, hosted on Google Cloud). Notes are isolated per user and are not shared with other users or used for model training. You can delete your indexed data at any time from your account dashboard.
  • No additional credentials: No separate API keys, environment variables, or secrets are needed beyond the MCP link.

Prerequisites

  1. Sign up at obsidian.10xboost.org with Google
  2. Connect your Obsidian vault — follow the setup guide to sync your notes
  3. Get your MCP link: Go to Settings → copy your MCP Server URL
  4. Add to Claude: Paste the MCP link as a Connector — no install, no API key needed

Available Tools (4)

ToolDescription
search_notesSemantic search — find notes by meaning with similarity scoring, tag/date filters
list_notesBrowse notes by folder, tags, date range, with sorting options
get_noteRetrieve full content of a specific note by path or search term
analyze_connectionsDiscover related notes through AI-powered similarity analysis

Workflow

Step 1: Understand the User's Intent

User RequestTool to Use
"Find notes about X"search_notes
"What did I write about X?"search_notes
"Show my recent notes"list_notes with sortBy: "modifiedAt"
"Notes in folder X"list_notes with pathPrefix
"Open note X"get_note
"What's related to X?"analyze_connections

Step 2: Search Notes

Semantic Search

search_notes(
  query: "machine learning project ideas",
  limit: 10,
  minScore: 0.7
)

With Filters

search_notes(
  query: "meeting notes",
  tags: ["work", "project-x"],
  sortBy: "modifiedAt",
  limit: 20
)

Step 3: Retrieve Full Content

get_note(path: "Projects/AI Research.md")

or search by term:

get_note(searchTerm: "quarterly review")

Step 4: Discover Connections

analyze_connections(
  reference: "Projects/AI Research.md",
  limit: 10,
  minScore: 0.6
)

Returns notes most semantically similar to the reference — great for finding related ideas, building knowledge graphs, or discovering forgotten notes.

Step 5: Present Results

  • Search results: Show titles, relevance scores, and brief excerpts
  • Note content: Display the full markdown content
  • Connections: Present as a ranked list with similarity scores and note titles

Error Handling

ErrorSolution
No results foundTry a broader query or lower minScore
Note not foundUse list_notes to find the correct path
Token expiredGet a new MCP link from obsidian.10xboost.org Settings (tokens last 30 days)

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

77.08%
按下载量换算1,321

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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