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apple-notes-extractorApple notes extractor 搜索

Agent Skill

apple-notes-extractor 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

24,461

周安装

1,040

GitHub Stars

公开资料未说明

下载量

8,570
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:apple-notes-extractor(Apple notes extractor 搜索)
来源仓库:https://github.com/ianderrington/apple-notes-extractor
安装命令:
openclaw skills install apple-notes-extractor
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 apple-notes-extractor

简介

提取和监控 Apple Notes 内容以进行工作流程集成。支持批量提取、实时监控、导出多种格式。

SKILL.md

name
apple-notes
description
Extract and monitor Apple Notes content for workflow integration. Supports bulk extraction, real-time monitoring, and export to various formats.
metadata
{"openclaw": {"requires": {"bins": ["python3", "osascript"]}, "emoji": "📝"}}

Apple Notes Skill

Extract and monitor Apple Notes content for workflow integration with support for bulk extraction, real-time monitoring, and export to various formats.

Prerequisites

  • macOS with Apple Notes app
  • Python 3.8+ (for coordination scripts)
  • osascript (built-in macOS)
  • Proper macOS permissions for Notes access

Installation

# Run the installation script
./scripts/setup.sh

# Or manual setup
chmod +x scripts/*.py
pip3 install -r requirements.txt

Commands

Extract Notes

# Basic extraction (all notes)
python3 scripts/extract-notes.py --method simple

# Full extraction with attachments
python3 scripts/extract-notes.py --method full

# Extract specific folder
python3 scripts/extract-notes.py --folder "Work Notes"

# Output to specific format
python3 scripts/extract-notes.py --format markdown --output ~/notes

Monitor Notes

# Start monitoring daemon
python3 scripts/monitor-notes.py --daemon

# Single check for changes
python3 scripts/monitor-notes.py --check-once

# Monitor with custom interval (seconds)
python3 scripts/monitor-notes.py --interval 30

Processing and Export

# Process extracted notes
python3 scripts/notes-processor.py output/raw -o output/processed

# Export to Obsidian
python3 scripts/export-obsidian.py --vault ~/MyVault

# Generate knowledge graph
python3 scripts/knowledge-graph.py --input output/processed

Configuration

Edit configs/extractor.json for:

  • Output formats (JSON, Markdown, HTML)
  • Privacy filters
  • Folder selection
  • Processing options

Edit configs/monitor.json for:

  • Monitoring intervals
  • Change detection settings
  • Auto-processing rules

Features

  • ✅ Extract text content from all notes
  • ✅ Handle embedded images and attachments
  • ✅ Process note metadata (dates, folders)
  • ✅ Multiple output formats (JSON, Markdown, SQLite)
  • ✅ Real-time monitoring for changes
  • ✅ Privacy-first design with local processing
  • ✅ Integration with knowledge management tools
  • ✅ Automatic deduplication
  • ✅ Incremental updates

Output Formats

FormatDescriptionUse Case
jsonStructured data with metadataAPI integration
markdownHuman-readable text filesDocumentation
sqliteDatabase formatSearchable archive
obsidianObsidian vault formatKnowledge management

Examples

# Quick start - extract all notes to Markdown
python3 scripts/extract-notes.py --format markdown --output ~/extracted-notes

# Monitor and auto-export to Obsidian
python3 scripts/monitor-notes.py --daemon --auto-export obsidian

# Extract work notes with full content
python3 scripts/extract-notes.py --method full --folder "Work Notes" --format json

# Process and create knowledge graph
python3 scripts/extract-notes.py --method full
python3 scripts/notes-processor.py output/raw -o output/processed
python3 scripts/knowledge-graph.py --input output/processed --output knowledge-graph.json

Security & Privacy

  • All processing happens locally on your machine
  • No data sent to external services
  • Respects macOS security permissions
  • Configurable privacy filters for sensitive content
  • Optional encryption for exported data

Integration

Compatible with:

  • Obsidian (direct vault export)
  • Logseq (Markdown export)
  • Notion (JSON import)
  • Custom workflows (JSON/CSV output)
  • AI processing pipelines
  • Search engines (full-text indexing)

Troubleshooting

Common issues:

  • Permission denied: Grant Notes access in System Preferences → Security & Privacy
  • Import errors: Ensure Python 3.8+ and required packages installed
  • AppleScript errors: Check if Notes app is running and accessible
  • Empty output: Verify folder names and note permissions

See README.md for detailed troubleshooting guide.

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

97.63%
按下载量换算8,367

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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