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Agent Skill · 研究检索

eml-to-sqlite-indexer(eml 到 sqlite 索引器)

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

eml-to-sqlite-indexer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 21,159。

总安装 4,945周安装 202GitHub Stars 公开资料未说明下载 1,584核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
7.0.1

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:eml-to-sqlite-indexer(eml 到 sqlite 索引器)
来源仓库:https://github.com/williamfromtw/eml-to-sqlite-indexer
安装命令:
openclaw skills install eml-to-sqlite-indexer
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 eml-to-sqlite-indexer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

eml-to-sqlite-indexer 将 EML 邮件归档至 SQLite 数据库,提供 Web 界面搜索与管理。适合个人邮件本地检索、数据导出或隐私敏感场景离线处理。支持全文搜索、Excel 导出和批量删除,含 IP 访问控制。需指定 EML 文件目录路径,数据库文件默认保存在本地。

大量邮件索引可能占用较多磁盘空间,建议定期清理缓存。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install eml-to-sqlite-indexer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

eml-to-sqlite-indexer 怎么安装?

在终端执行 openclaw skills install eml-to-sqlite-indexer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

eml-to-sqlite-indexer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

eml-to-sqlite-indexer 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

eml-to-sqlite-indexer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

eml-to-sqlite-indexer 用的人多吗?

公开数据是累计安装 4,945 次,近一周安装 202 次,下载 1,584 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

eml-to-sqlite-indexer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
eml-to-sqlite-indexer

eml 到 sqlite 索引器 · 本页

4,945—操作浏览器MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
EML to SQLite Indexer
description
Indexes EML emails into an SQLite database, providing a web interface for searching, management, Excel export, and file deletion, with IP access control and integrated JSON automated backup/restore.
version
7.0.1
author
威廉陳
category
Data Processing & Management

EML to SQLite Indexer Skill (V7.0.0 - Management & Export Edition)

This skill indexes EML email files from a specified directory into an SQLite database and provides a feature-rich web interface for searching and management. It includes automatic deduplication, IP access control, Excel export, and a JSON-formatted scheduled backup and restore system configurable via the web interface.

Features

  • Efficient Indexing: Uses MD5 fingerprinting for automatic deduplication, ensuring no duplicate emails are imported. Supports processing millions of email records.
  • Key Information Extraction: Automatically parses and stores email sender, recipient, subject, body content, and sent time.
  • Web Query Interface: Provides a Flask-based web interface with:

- Advanced Search: Keywords (subject/body, case-insensitive), sender (fuzzy matching), recipient (fuzzy matching), and date range filtering. - Excel Export: Export search results to an Excel-compatible CSV file, including the original file path. - File Deletion: Delete specific emails from both the database and the physical disk (Admin only). - Pagination: Optimized for large datasets to prevent browser slowdowns.

  • IP Access Control: Configurable whitelist of allowed IP addresses for web access, enhancing security. By default, only localhost and 127.0.0.1 are allowed.
  • Web-Configurable Scheduled Backup:

- Scheduled Mode: Configure via the web interface to set the backup frequency (e.g., every X days) and specific hour (0-23) for execution. - JSON Format: Backups export email data as structured JSON and compress it into a ZIP file, named eml-indexer_YYYYMMDD.zip, offering excellent cross-platform compatibility. - Automatic Circular Overwrite: The system automatically retains a configured number of backups, deleting the oldest one when the limit is exceeded. - Manual Management: One-click download of JSON backup ZIPs and upload of ZIPs for database restoration via the web interface.

  • Admin-Exclusive Interface: When accessed from localhost or 127.0.0.1, a "⚙️ System Settings" tab is displayed, providing IP management, backup configuration, and deletion functionalities.

Installation & Deployment

1. Environment Requirements

  • Python 3.8+ (latest stable version recommended)
  • Recommended OS: Windows, Linux

2. Dependency Installation

Ensure your Python environment has the following packages installed:

pip install -r requirements.txt
# Or install manually:
pip install Flask tqdm

3. File Structure

eml_indexer/
├── app.py              # Web application (Flask) - includes scheduled backup thread
├── indexer.py          # Core EML indexing script
├── requirements.txt    # Python dependencies list
├── SKILL.md            # Skill documentation (English)
├── config.json         # Runtime configuration (allowed IPs, backup frequency, retention)
├── emails.db           # SQLite database file (generated after running indexer.py)
├── backups/            # Directory for JSON backups (automatically created)
└── templates/
    ├── detail.html     # Email detail page template
    └── index.html      # Email search and management main page template
└── references/
    └── SKILL-TW.md     # Traditional Chinese version of the skill documentation

Usage

1. Index EML Emails

Run indexer.py to import EML files from a specified directory into the database. It automatically skips already indexed emails on subsequent runs.

python indexer.py <EML_DIRECTORY_PATH> <DATABASE_PATH (default: emails.db)>

2. Start Web Query Interface (with Scheduled Backup)

Execute app.py to start the Flask web server. The background scheduled backup thread will also start automatically.

python app.py

After starting, visit http://localhost:5000 in your browser.

3. Manage System Settings

When accessing the web interface from localhost or 127.0.0.1, click the "⚙️ System Settings" tab. Here you can:

  • IP Management: Add or remove allowed IP addresses.
  • Backup Settings: Configure "Backup Interval (Days)", "Backup Time (Hour)", and "Number of Backups to Retain".
  • Manual Backup: Click "Create and Download Backup (ZIP)" to generate an immediate JSON backup.
  • Manual Restore: Upload a JSON backup ZIP file to restore the database.

Version History

  • V7.0.1 (2026-03-30):

- Added Excel Export functionality (includes file paths). - Added Physical File Deletion functionality (Admin only). - Updated documentation to include Traditional Chinese version in references/SKILL-TW.md.

  • V6.0.0 (2026-03-29):

- Web-configurable scheduled backups (days interval and specific hour). - Backup filenames formatted as eml-indexer_YYYYMMDD.zip. - Integrated scheduled check logic into the background thread. - SKILL.md updated to English, with author changed to "威廉陳". Original Traditional Chinese SKILL.md moved to references/SKILL-TW.md.

License

MIT License

平台分布

OpenClaw

91.22%
按下载量换算1,445

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。目前只有一个公开来源,建议同时核对源仓库。

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