Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Email Intelligence
Analyze email inbox health with weather metaphors, spam/signal classification, email debt scoring, and ghost detection. Use when user asks about inbox status...
skill openclawclawhub Free
Analyze email inbox health with weather metaphors, spam/signal classification, email debt scoring, and ghost detection. Use when user asks about inbox status...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/email_classify.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- pfrederiksen
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Email Intelligence
Analyze your email inbox health using creative weather metaphors, intelligent classification, debt scoring, and ghost detection. Transform overwhelming inbox analysis into clear, actionable insights.
When to Use
Use this skill when the user asks about: Inbox status or health Email overwhelm or management Who they're "ghosting" (ignoring responses to) Time cost of processing their inbox Signal vs noise in their email Email debt or backlog
Requirements
himalaya CLI configured with IMAP access Python 3.6+ The configured email account should have standard folder names (INBOX, Archive)
Quick Usage
# Basic analysis (last 7 days) python3 scripts/email_classify.py # Extended analysis (last 14 days) python3 scripts/email_classify.py --days 14 # JSON output for integration python3 scripts/email_classify.py --format json
Weather System
The inbox "weather" is determined by the number of human emails in your INBOX that need responses: 🌊 Calm Seas (0-2): Inbox is peaceful and manageable 🍃 Light Breeze (3-5): A few emails need attention, nothing urgent 🌬️ Choppy Waters (6-10): Multiple emails require responses ⛵ Small Craft Advisory (11-20): Many people waiting for replies ⛈️ Storm Warning (21+): Inbox is overwhelming, needs immediate attention
Email Classification
Emails are automatically classified into four categories:
🤖 Automated
Sender contains: noreply, no-reply, donotreply, notifications@, alerts@ Subject contains: unsubscribe, automatic, auto-generated Time cost: 0 minutes (can be safely ignored)
📰 Newsletter
From domains: substack.com, email., marketing., updates@ Subject contains: newsletter, digest, weekly, monthly, roundup Time cost: 1 minute each (skim or archive)
🔔 Notification
From services: github, slack, jira, linear, aws, google, microsoft, etc. Time cost: 30 seconds each (quick action/acknowledgment)
👥 Human
Everything else (actual people writing) Time cost: 3 minutes each (requires thoughtful response)
Email Debt Score (0-100)
Calculated based on unseen human emails in your INBOX, weighted by age: < 1 day old: 1 point each 1-3 days old: 3 points each 3-7 days old: 5 points each 7+ days old: 10 points each Score meanings: 0-30: 🟢 Great job! Inbox under control 31-60: 🟡 Getting busy. Consider tackling some replies 61-100: 🔴 High debt! Many emails waiting for responses
Signal-to-Noise Ratio
Percentage of emails that are from humans (signal) vs automated/newsletter/notification (noise). Higher ratio = more meaningful email, less spam/clutter.
Ghost Report
Shows up to 5 people you're "ghosting" (human emails you haven't read), sorted by how long they've been waiting. Helps prioritize who needs responses most urgently.
Time Investment
Estimates how much time you'll need to process your current inbox based on email types and their typical processing times.
Text Format (Default)
Human-readable report with weather, debt score, signal/noise analysis, ghost report, and time estimates. Perfect for quick status updates or daily reviews.
JSON Format
Structured data for integration with other tools, APIs, or dashboards: { "weather": { "level": "breeze", "emoji": "🍃", "description": "Light Breeze - A few emails need attention...", "humanCount": 4 }, "categories": { "automated": 15, "newsletter": 8, "notification": 12, "human": 4 }, "debtScore": 18, "ghostReport": [...], "signalNoiseRatio": { "ratio": 0.103, "percentage": "10%" }, "timeCost": { "minutes": 18, "formatted": "18 minutes" } }
Dashboard Integration
The JSON output is designed for easy integration into dashboards or status displays. The weather metaphor makes it intuitive for users to understand their inbox state at a glance.
Automation
Run periodically (via cron) to track inbox health trends over time. The debt score is particularly useful for identifying when inbox maintenance is needed.
Alerts
Set up alerts when: Weather reaches "Storm Warning" level Debt score exceeds 60 Ghost report shows people waiting >5 days
No emails found
Verify himalaya CLI is configured: himalaya envelope list -f INBOX --page-size 1 Check folder names match your email provider (some use "Inbox" vs "INBOX")
Classification seems wrong
The classification uses heuristics based on sender patterns and subject lines. You can modify the patterns in the script for your specific needs.
Slow performance
Reduce the --days parameter to analyze fewer emails The script fetches up to 200 emails from Archive - adjust page_size in the code if needed
Philosophy
Email Intelligence treats your inbox as a living system with its own weather patterns and health metrics. Rather than just counting unread emails, it helps you understand: What actually needs your attention (humans vs bots) How "behind" you are (debt score) Who you might be accidentally ignoring (ghost report) How much time you're really looking at (time cost) The weather metaphor makes inbox status intuitive and actionable - you know to "batten down the hatches" when a storm is brewing, but you can relax when the seas are calm. Use this skill to transform inbox anxiety into clear, prioritized action plans.
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/email_classify.py