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vault-search保险库搜索

Agent Skill

vault-search 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

245

周安装

10

GitHub Stars

189

下载量

78
CodexClaudeCursorGemini CLI

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

3

许可证

MIT

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:vault-search(保险库搜索)
来源仓库:https://github.com/roasbeef/obsidian-claude-code
仓库路径:skills/vault-search
安装命令:
npx skills add https://github.com/roasbeef/obsidian-claude-code --skill vault-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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/roasbeef/obsidian-claude-code --skill vault-search

简介

vault-search 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。

  • 它可辅助从文档中提取内容、匹配字段或过滤无关信息,提升信息获取效率。
  • 通过 npx skills add 命令从指定仓库安装,具体用法需结合 README 进一步确认。
  • 安装前建议检查权限范围和维护状态,避免触发不必要的联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Vault Search Skill

Provides semantic search and SQL queries over the Obsidian vault using sqlite-vec for vector storage and ChromaDB's embedding function.

Python Environment

Interpreter: /Users/roasbeef/vault/.claude/venv/bin/python

Required packages:

  • sqlite-vec (vector search extension)
  • chromadb (embedding function only)

Database Location

Path: /Users/roasbeef/vault/.claude/vault_search/vault.db

Contains:

  • notes table: frontmatter metadata for all markdown files
  • vec_chunks table: vector embeddings for semantic search

Available Scripts

search.py - Semantic Search

Find notes by meaning using vector similarity.

# Basic semantic search
python scripts/search.py --query "options trading strategies" --n-results 5

# Filter by folder
python scripts/search.py --query "earnings analysis" --folder "investing"

# Filter by metadata
python scripts/search.py --query "task automation" --where "status='open'"

# Combined: semantic + metadata
python scripts/search.py --query "portfolio risk" --where "folder LIKE 'investing%' AND status='open'"

Arguments:

  • --query (required): Search query text
  • --n-results: Number of results (default: 5)
  • --folder: Filter by folder prefix
  • --where: SQL WHERE clause for metadata filtering
  • --db-path: Database path (default:.claude/vault_search/vault.db)

Output:

  • Human-readable results with snippets
  • JSON block for programmatic use

dataview.py - SQL Queries (Dataview Replacement)

Query frontmatter metadata using SQL.

# Open tasks due this week
python scripts/dataview.py --sql "SELECT path, due, priority FROM notes
                                   WHERE status = 'open'
                                   AND due < date('now', '+7 days')
                                   ORDER BY due"

# Tasks by folder
python scripts/dataview.py --sql "SELECT path, status, priority FROM notes
                                   WHERE folder LIKE 'TaskNotes%'
                                   AND status != 'done'"

# Investing positions
python scripts/dataview.py --sql "SELECT path, ticker, strategy, expiry FROM notes
                                   WHERE folder LIKE 'investing/Portfolio/Positions%'"

# Query by tags (using json_each)
python scripts/dataview.py --sql "SELECT DISTINCT n.path, n.title
                                   FROM notes n, json_each(n.tags) t
                                   WHERE t.value = 'automation'"

Arguments:

  • --sql (required): SQL query to execute
  • --db-path: Database path (default:.claude/vault_search/vault.db)
  • --format: Output format: "table" or "json" (default: table)

Available columns:

  • path, folder, filename, title, modified
  • Frontmatter: status, priority, due, scheduled, tags, projects, contexts
  • Investing: ticker, strategy, expiry

index.py - Build/Rebuild Index

Rebuild the search index from vault files.

# Full rebuild
python scripts/index.py --vault-path /Users/roasbeef/vault --rebuild

# Incremental update (default)
python scripts/index.py --vault-path /Users/roasbeef/vault

# Show statistics
python scripts/index.py --stats

Arguments:

  • --vault-path: Path to vault root (default: /Users/roasbeef/vault)
  • --db-path: Database path (default:.claude/vault_search/vault.db)
  • --rebuild: Force full rebuild
  • --stats: Show index statistics

When to Use This Skill

Use semantic search (search.py) when:

  • User asks to "find notes about X"
  • User wants "related notes" to a topic
  • Answering questions about vault contents
  • Exploring a topic across the vault

Use dataview queries (dataview.py) when:

  • User asks to "list tasks" or "show open tasks"
  • Filtering by specific metadata (status, due date, tags)
  • Aggregating or counting notes
  • Building dashboards or summaries

Use combined queries when:

  • "Find notes about X that are also open tasks"
  • "Show investing notes related to Y"

Example Usage

Find Related Notes

User: "What notes do I have about HTLC routing?"
→ python scripts/search.py --query "HTLC routing payment channels" --n-results 5

List Open Tasks

User: "Show my open high-priority tasks"
→ python scripts/dataview.py --sql "SELECT path, due FROM notes
                                     WHERE status='open' AND priority='high'
                                     ORDER BY due"

Combined Search

User: "Find investing notes about semiconductor supply chain"
→ python scripts/search.py --query "semiconductor supply chain"
                           --folder "investing"
                           --n-results 10

Rebuilding the Index

Use the /vault-index command to rebuild the index when:

  • Many files have changed
  • Search results seem stale
  • After bulk imports

Technical Details

  • Embeddings: ChromaDB DefaultEmbeddingFunction (ONNX MiniLM, 384 dims)
  • Storage: sqlite-vec virtual tables
  • Chunking: Split by markdown headings (v1)
  • Excluded folders: .obsidian, .smart-env, .claude, assets, Templates

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

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

Claude Code

28.1%
按下载量换算22

OpenCode

22.94%
按下载量换算18

Antigravity

16.23%
按下载量换算13

Gemini CLI

12.5%
按下载量换算10

windsurf

7.37%
按下载量换算6

trae

3.2%
按下载量换算2

安全审计

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通过

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通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。

来源信息

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