Requires Node.js + npm install in the skill folder:
cd skills/m365-spam-manager
npm install
Uses the same profile/credentials as m365-mailbox. Ensure you have a profile configured:
node skills/m365-mailbox/scripts/setup.mjs --profile tom-business ...
# Analyze junk folder and show suspicious scores (review mode - default)
node skills/m365-spam-manager/scripts/analyze.mjs --profile tom-business-mail --mailbox radman@e-ola.com
# Move a false positive to inbox (requires confirmation)
node skills/m365-spam-manager/scripts/move-to-inbox.mjs --profile tom-business-mail --mailbox radman@e-ola.com --id <MSG_ID>
# Move confirmed spam to learning folder
node skills/m365-spam-manager/scripts/move-to-learning.mjs --profile tom-business-mail --mailbox radman@e-ola.com --id <MSG_ID>
# Auto-clean: move high-confidence spam to learning, medium to review
node skills/m365-spam-manager/scripts/auto-clean.mjs --profile tom-business-mail --mailbox radman@e-ola.com --threshold 80
The analyzer calculates a score (0-100) based on:
| Pattern | Points | Description |
|---|---|---|
| --------- | -------- | ------------- |
| No unsubscribe link | +20 | Legitimate marketing must have one |
| Suspicious sender domain | +15 | Free email, misspellings, random strings |
| All caps subject | +10 | Spam often shouts |
| Excessive punctuation | +10 | !!!, ???, $$$ |
| Suspicious keywords | +15 | crypto, win, free, urgent, verify, bank, password, ... |
| Mismatched language | +10 | Subject in DE, body EN or vice versa |
| Known scam patterns | +25 | "Attention - suspected SPAM", fake invoices |
| Free email provider | +10 | gmail, yahoo, hotmail in From (not Reply-To) |
| No DKIM/SPF indication | +5 | Graph doesn't show auth results |
This skill respects the same policy as m365-mailbox:
read: autonomous (analyze, list)move: controlled (move to inbox/learning folder)In review mode, the script always prompts for confirmation before moving emails.
共 1 个版本