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email-triage电子邮件分类

Agent Skill

email-triage 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

68,688

周安装

2,862

GitHub Stars

2

下载量

22,896
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:email-triage(电子邮件分类)
来源仓库:https://github.com/briancolinger/email-triage
安装命令:
openclaw skills install email-triage
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install email-triage

简介

利用本地 Ollama LLM 对未读邮件进行 AI 分类与优先级排序。

  • 适用于个人助理或知识工作者高效处理海量邮件信息流。
  • 自动标记紧急、待回复与信息类邮件,减少人工筛选成本。
  • 依赖本地模型运行,需自行部署 Ollama 并加载合适模型文件。
  • 建议定期更新模型以保持分类准确性,注意本地计算资源占用。

SKILL.md

name
email-triage
version
1.0.1
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.
metadata
openclaw
requires
bins
["python3"]

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:

VariableRequiredDefaultDescription
IMAP_HOSTIMAP server hostname
IMAP_PORT993IMAP port (SSL)
IMAP_USERIMAP username / email address
IMAP_PASSIMAP password or app-specific password
EMAIL_TRIAGE_STATE./data/email-triage.jsonPath to the JSON state file
OLLAMA_URLhttp://127.0.0.1:11434Ollama API endpoint
OLLAMA_MODELqwen2.5:7bOllama 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

  1. Connects to IMAP over SSL and fetches unread messages (up to 20 per scan).
  2. Deduplicates by Message-ID (or a hash of subject + sender as fallback) so emails are never classified twice.
  3. Classifies each email using Ollama if available, otherwise falls back to keyword heuristics.
  4. Stores state in a local JSON file — tracks category, reason, and whether the email has been surfaced.
  5. report surfaces only unsurfaced urgent and needs-response emails, sorted by priority.
  6. mark-surfaced flags reported emails so they won't appear in future reports.
  7. 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: scanreport --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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

70.64%
按下载量换算16,174

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

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安装前确认

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来源信息

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