通过 SQLite 在 macOS 上实现快速 Apple Mail 搜索。按主题、发件人、日期、附件搜索邮件,响应时间约 50 毫秒,远快于 AppleScript 的 8 分钟以上。用于查找、搜索或列出邮件时使用
通过 SQLite 在 macOS 上实现快速 Apple Mail 搜索。按主题、发件人、日期、附件搜索邮件,响应时间约 50 毫秒,远快于 AppleScript 的 8 分钟以上。用于查找、搜索或列出邮件时使用
Fast macOS email search via SQLite, finding messages by subject sender date or attachments in 50ms instead of minutes
Fast Apple Mail search via SQLite on macOS. Search emails by subject, sender, date, attachments - results in ~50ms vs 8+ minutes with AppleScript. Use when asked to find, search, or list emails.
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
---
name: apple-mail-search
description: Fast Apple Mail search via SQLite on macOS. Search emails by subject, sender, date, attachments - results in ~50ms vs 8+ minutes with AppleScript. Use when asked to find, search, or list emails.
homepage: https://github.com/steipete/clawdbot
metadata: {"clawdbot":{"emoji":"📬","os":["darwin"],"requires":{"bins":["sqlite3"]}}}
---
# Apple Mail Search
Search Apple Mail.app emails instantly via SQLite. ~50ms vs 8+ minutes with AppleScript.
## Installation
```bash
# Copy mail-search to your PATH
cp mail-search /usr/local/bin/
chmod +x /usr/local/bin/mail-search
```
## Usage
```bash
mail-search subject "invoice" # Search subjects
mail-search sender "@amazon.com" # Search by sender email
mail-search from-name "John" # Search by sender name
mail-search to "recipient@example.com" # Search sent mail
mail-search unread # List unread emails
mail-search attachments # List emails with attachments
mail-search attachment-type pdf # Find PDFs
mail-search recent 7 # Last 7 days
mail-search date-range 2025-01-01 2025-01-31
mail-search open 12345 # Open email by ID
mail-search stats # Database statistics
```
## Options
```
-n, --limit N Max results (default: 20)
-j, --json Output as JSON
-c, --csv Output as CSV
-q, --quiet No headers
--db PATH Override database path
```
## Examples
```bash
# Find bank statements from last month
mail-search subject "statement" -n 50
# Get unread emails as JSON for processing
mail-search unread --json | jq '.[] | .subject'
# Find all PDFs from a specific sender
mail-search sender "@bankofamerica.com" -n 100 | grep -i statement
# Export recent emails to CSV
mail-search recent 30 --csv > recent_emails.csv
```
## Why This Exists
| Method | Time for 130k emails |
|--------|---------------------|
| AppleScript iteration | 8+ minutes |
| Spotlight/mdfind | **Broken since Big Sur** |
| SQLite (this tool) | ~50ms |
Apple removed the emlx Spotlight importer in macOS Big Sur. This tool queries the `Envelope Index` SQLite database directly.
## Technical Details
**Database:** `~/Library/Mail/V{9,10,11}/MailData/Envelope Index`
**Key tables:**
- `messages` - Email metadata (dates, flags, FKs)
- `subjects` - Subject lines
- `addresses` - Email addresses and display names
- `recipients` - TO/CC mappings
- `attachments` - Attachment filenames
**Limitations:**
- Read-only (cannot compose/send)
- Metadata only (bodies in .emlx files)
- Mail.app only (not Outlook, etc.)
## Advanced: Raw SQL
For custom queries, use sqlite3 directly:
```bash
sqlite3 -header -column ~/Library/Mail/V10/MailData/Envelope\ Index "
SELECT m.ROWID, s.subject, a.address
FROM messages m
JOIN subjects s ON m.subject = s.ROWID
LEFT JOIN addresses a ON m.sender = a.ROWID
WHERE s.subject LIKE '%your query%'
ORDER BY m.date_sent DESC
LIMIT 20;
"
```
## License
MIT
文件内容直接读取自技能仓库,仅供安装前审阅;以实际下载的压缩包为准。