Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
email-triage
IMAP email scanning and triage with AI classification via a local Ollama LLM. Scans unread emails, categorizes them as urgent, needs-response, informational,...
skill openclawclawhub Free
IMAP email scanning and triage with AI classification via a local Ollama LLM. Scans unread emails, categorizes them as urgent, needs-response, informational,...
⬇ 0 downloads ★ 0 stars Unverified but indexed
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-triage.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
- 1.0.1
Provenance
- Publisher
- briancolinger
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Email Triage
Scan your IMAP inbox, classify emails into priority categories, and surface the ones that need attention. Uses a local LLM (Ollama) for intelligent classification with a rule-based heuristic fallback when Ollama is unavailable.
Prerequisites
Python 3.10+ IMAP-accessible email account (Gmail, Fastmail, self-hosted, etc.) Ollama (optional) — for AI-powered classification. Without it, the script uses keyword-based heuristics that still work well for common patterns.
Categories
IconCategoryDescription🔴urgentOutages, security alerts, legal, payment failures, time-critical🟡needs-responseBusiness inquiries, questions, action items requiring a reply🔵informationalReceipts, confirmations, newsletters, automated notifications⚫spamMarketing, promotions, unsolicited junk
Configuration
All configuration is via environment variables: VariableRequiredDefaultDescriptionIMAP_HOST✅—IMAP server hostnameIMAP_PORT—993IMAP port (SSL)IMAP_USER✅—IMAP username / email addressIMAP_PASS✅—IMAP password or app-specific passwordEMAIL_TRIAGE_STATE—./data/email-triage.jsonPath to the JSON state fileOLLAMA_URL—http://127.0.0.1:11434Ollama API endpointOLLAMA_MODEL—qwen2.5:7bOllama model for classification
Directories Written
EMAIL_TRIAGE_STATE (default: ./data/email-triage.json) — Persistent state file tracking classified emails and surfacing status
Commands
# Scan inbox and classify new unread emails python3 scripts/email/email-triage.py scan # Scan with verbose output (shows each classification) python3 scripts/email/email-triage.py scan --verbose # Dry run — scan and classify but don't save state python3 scripts/email/email-triage.py scan --dry-run # Show unsurfaced important emails (urgent + needs-response) python3 scripts/email/email-triage.py report # Same as report but JSON output (for programmatic use) python3 scripts/email/email-triage.py report --json # Mark reported emails as surfaced (so they don't appear again) python3 scripts/email/email-triage.py mark-surfaced # Show triage statistics python3 scripts/email/email-triage.py stats
How It Works
Connects to IMAP over SSL and fetches unread messages (up to 20 per scan). Deduplicates by Message-ID (or a hash of subject + sender as fallback) so emails are never classified twice. Classifies each email using Ollama if available, otherwise falls back to keyword heuristics. Stores state in a local JSON file — tracks category, reason, and whether the email has been surfaced. report surfaces only unsurfaced urgent and needs-response emails, sorted by priority. mark-surfaced flags reported emails so they won't appear in future reports. Auto-prunes state to the most recent 200 entries to prevent unbounded growth.
Integration Tips
Heartbeat / cron: Run scan periodically, then report --json to check for items needing attention. Agent workflow: scan → report --json → act on results → mark-surfaced. Without Ollama: The heuristic classifier handles common patterns (automated notifications, marketing, urgent keywords) well. Ollama adds nuance for ambiguous emails. App passwords: If your provider uses 2FA, generate an app-specific password for IMAP access.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/email-triage.py