Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Manages Microsoft 365 junk mail by analyzing spam patterns, scoring suspicious emails, and assisting with review or automatic cleanup of Outlook/Exchange spa...
Manages Microsoft 365 junk mail by analyzing spam patterns, scoring suspicious emails, and assisting with review or automatic cleanup of Outlook/Exchange spa...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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: PatternPointsDescriptionNo unsubscribe link+20Legitimate marketing must have oneSuspicious sender domain+15Free email, misspellings, random stringsAll caps subject+10Spam often shoutsExcessive punctuation+10!!!, ???, $$$Suspicious keywords+15crypto, win, free, urgent, verify, bank, password, ...Mismatched language+10Subject in DE, body EN or vice versaKnown scam patterns+25"Attention - suspected SPAM", fake invoicesFree email provider+10gmail, yahoo, hotmail in From (not Reply-To)No DKIM/SPF indication+5Graph doesn't show auth results
0-30: Low suspicion — likely legitimate 31-70: Medium — review recommended 71-100: High — almost certainly spam
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.
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.