home / skills / openclaw / skills / apple-mail-search
This skill lets you quickly locate and list Apple Mail emails using SQLite, delivering fast results and structured outputs.
npx playbooks add skill openclaw/skills --skill apple-mail-searchReview the files below or copy the command above to add this skill to your agents.
---
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 "[email protected]" # 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
This skill provides fast Apple Mail search on macOS by querying Mail.app's Envelope Index SQLite database directly. It returns results in milliseconds for subject, sender, date, attachments, and more. Use it to find, list, or export email metadata far faster than AppleScript or Spotlight. It is read-only and operates on Mail.app metadata only.
The skill opens the Mail Envelope Index SQLite database (~~/Library/Mail/V*/MailData/Envelope Index) and runs optimized queries against tables like messages, subjects, addresses, recipients, and attachments. It supports filters for subject, sender (email or name), recipients, unread status, attachments and date ranges, and can output plain text, JSON, or CSV. It never modifies mail — bodies remain in .emlx files and are not returned by default.
Will this tool modify my mail or account settings?
No. The skill opens the Envelope Index in read-only mode and only reads metadata; it does not modify mail, accounts, or Mail.app settings.
Can I search full email bodies or draft content?
No. The tool queries metadata stored in the SQLite index. Full bodies live in .emlx files and are not returned; you can open matching messages in Mail.app to view bodies.
My macOS version stores Mail data in a different path. What should I do?
Use the --db PATH option to point the tool at the correct Envelope Index file for your Mail.app version.