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mailwisemailwise 搜索

Agent Skill

mailwise 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

9,082

周安装

371

GitHub Stars

1

下载量

2,909
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:mailwise(mailwise 搜索)
来源仓库:https://github.com/petrguan/mailwise
安装命令:
openclaw skills install mailwise
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 mailwise

简介

从本地知识库检索历史邮件线索,辅助排查技术问题与事件复盘。

  • 适合工程师回顾过往故障、查找解决方案或追溯责任记录。
  • 基于语义匹配返回相关邮件片段,减少人工翻阅时间。
  • 依赖预先构建的知识库质量,结果准确性受索引完整性影响。
  • mailwise 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
mailwise
description
Search and analyze email issue threads from a local knowledge base. Use when the user asks about past bugs, incidents, or wants to find how experienced engineers solved similar issues. Triggers on questions like "have we seen this before", "similar issues", "how did we fix", "root cause analysis", "past incidents".
homepage
https://github.com/PetrGuan/MailWise
user-invocable
true
metadata
{ "openclaw": { "emoji": "📧", "requires": { "bins": ["mailwise", "claude"], "env": { "ANTHROPIC_API_KEY": { "description": "Anthropic API key (only needed for the 'analyze' command; alternative: authenticate via 'claude' CLI login)", "required": false } } }, "install": [{ "id": "pip", "kind": "uv", "package": "mailwise", "bins": ["mailwise"], "label": "Install MailWise from PyPI" }] } }

MailWise — Your Team's Email Memory

Stop re-investigating issues your team already solved. MailWise turns your email threads into a searchable knowledge base — index thousands of EML files locally, tag expert engineers, and use RAG to instantly surface how similar issues were debugged and resolved in the past.

"Have we seen this before?" → MailWise searches 25,000+ emails in under a second and shows you exactly what your best engineers said about it.

What you get

Semantic search — not keyword matching, but meaning-based retrieval across your entire email archive:

$ mailwise search "calendar sync fails after folder migration" --show-body

  #1 [0.89] ★Expert  RE: Outlook calendar not syncing after mailbox move
     From: senior.engineer@example.com (2024-11-15)
     "The root cause is a stale folder-id cache. Clear HxCalendarSync
      and restart the sync service..."

  #2 [0.84]          RE: Sync failure post-migration — Mac clients
     From: support.lead@example.com (2024-10-22)
     "We've seen this pattern before. Check if the migration tool
      preserved the folder GUIDs..."

  #3 [0.81] ★Expert  RE: Calendar items disappearing after move
     From: senior.engineer@example.com (2024-09-08)
     "This is the same class of bug as CASE-4521. The fix is..."

RAG-powered analysis — Claude reads the most relevant past threads and synthesizes debugging guidance:

$ mailwise analyze "User reports calendar events vanish after moving to a new folder"

  Based on 5 similar past issues, here's what your team has found:
  ● Root cause pattern: stale folder-id cache after migration (3 of 5 cases)
  ● Recommended first step: check HxCalendarSync logs for GUID mismatch
  ● Expert consensus: clearing the sync cache resolves ~80% of these cases
  ● Edge case: if GUIDs were not preserved during migration, a full re-sync is needed

Get started in 3 steps

pip install mailwise        # 1. Install from PyPI
mailwise init               # 2. Interactive setup wizard — creates config, sets directories
mailwise index              # 3. Index your EML files (incremental, safe to re-run)

That's it. Now search with mailwise search "..." or get AI analysis with mailwise analyze "...".

Commands

Search for similar issues

mailwise search "describe the issue here" --show-body
  • --show-body — show a preview of each matching message
  • --expert-only — only show replies from expert engineers
  • -k N — number of results (default: 10)

Deep analysis with RAG

mailwise analyze "paste full bug report or issue description here"
  • -k N — number of similar issues to feed to Claude (default: 5)

Tip: Paste the FULL bug report — error codes, logs, environment details produce much better matches.

mailwise analyze "$(cat bug_report.txt)" -k 10

View a full email thread

mailwise show <EMAIL_ID>

Check index status

mailwise stats

Manage expert engineers

mailwise experts list
mailwise experts add engineer@company.com --name "Jane Doe"
mailwise experts remove engineer@company.com

Expert engineers' replies get ★Expert tags and boosted scores in search results.

Typical workflow

  1. User describes an issue or pastes a bug report
  2. Run mailwise search "..." --show-body to find similar past issues
  3. If promising results found, run mailwise analyze "..." for deep RAG analysis
  4. Use mailwise show <ID> to read full threads of interest
  5. Summarize findings: root cause patterns, debugging steps, and next actions

Privacy & data handling

  • Local-only commands (index, search, show, stats, experts): Everything runs on your machine. Embeddings generated locally via sentence-transformers. No data sent anywhere.
  • External LLM command (analyze): Sends email excerpts to the Anthropic API via Claude Code CLI. Do not use on sensitive emails unless your org's data policy permits it.

Authentication

  • The analyze command requires Claude Code CLI — run claude once to authenticate, or set ANTHROPIC_API_KEY
  • No auth needed for local commands (index, search, show, stats, experts)

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

79.06%
按下载量换算2,300

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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