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IMAP email scanning and triage with AI classification via a local Ollama LLM. Scans unread emails, categorizes them as urgent, needs-response, informational, or spam, and surfaces important messages for agent consumption. Works standalone with heuristic fallback — Ollama optional but recommended.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill email-triage命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
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基于 SOC 职业分类
| name | email-triage |
| description | IMAP email scanning and triage with AI classification via a local Ollama LLM. Scans unread emails, categorizes them as urgent, needs-response, informational, or spam, and surfaces important messages for agent consumption. Works standalone with heuristic fallback — Ollama optional but recommended. |
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.
| Icon | Category | Description |
|---|---|---|
| 🔴 | urgent | Outages, security alerts, legal, payment failures, time-critical |
| 🟡 | needs-response | Business inquiries, questions, action items requiring a reply |
| 🔵 | informational | Receipts, confirmations, newsletters, automated notifications |
| ⚫ | spam | Marketing, promotions, unsolicited junk |
All configuration is via environment variables:
| Variable | Required | Default | Description |
|---|---|---|---|
IMAP_HOST | ✅ | — | IMAP server hostname |
IMAP_PORT | — | 993 | IMAP port (SSL) |
IMAP_USER | ✅ | — | IMAP username / email address |
IMAP_PASS | ✅ | — | IMAP password or app-specific password |
EMAIL_TRIAGE_STATE | — | ./data/email-triage.json | Path to the JSON state file |
OLLAMA_URL | — | http://127.0.0.1:11434 | Ollama API endpoint |
OLLAMA_MODEL | — | qwen2.5:7b | Ollama model for classification |
# Scan inbox and classify new unread emails
python3 scripts/email-triage.py scan
# Scan with verbose output (shows each classification)
python3 scripts/email-triage.py scan --verbose
# Dry run — scan and classify but don't save state
python3 scripts/email-triage.py scan --dry-run
# Show unsurfaced important emails (urgent + needs-response)
python3 scripts/email-triage.py report
# Same as report but JSON output (for programmatic use)
python3 scripts/email-triage.py report --json
# Mark reported emails as surfaced (so they don't appear again)
python3 scripts/email-triage.py mark-surfaced
# Show triage statistics
python3 scripts/email-triage.py stats
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.scan periodically, then report --json to check for items needing attention.scan → report --json → act on results → mark-surfaced.