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conversation-exporter

v1.0.0

对话历史导出工具 - 将 WorkBuddy 的对话历史导出为多种格式(JSON/Markdown/TXT),包含时间线、元数据、统计数据、成就里程碑和 Skills 使用记录,便于归档分析和分享

0· 96·0 current·0 all-time
byoxf4vul@0xf4vul

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for 0xf4vul/conversation-exporter.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "conversation-exporter" (0xf4vul/conversation-exporter) from ClawHub.
Skill page: https://clawhub.ai/0xf4vul/conversation-exporter
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install conversation-exporter

ClawHub CLI

Package manager switcher

npx clawhub@latest install conversation-exporter
Security Scan
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medium confidence
Purpose & Capability
The name/description (conversation export) match the instructions to read work-memory and produce JSON/MD/TXT exports. However the skill also promises to extract '关键文件路径', '自动化任务目录' and '已安装的 Skills 列表', which require scanning workspace metadata beyond plain conversation logs—these are plausible but broaden the scope. There is a direct contradiction: earlier it says it includes a '完整的时间线' but the privacy section says '不导出完整的对话内容,只保留摘要'. That inconsistency reduces confidence that the requested actions are well-scoped.
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Instruction Scope
SKILL.md instructs the agent to read '长期记忆文件', '最近的日期文件', '自动化任务目录' and '工作区根目录' but does not define exact paths or limits. This vagueness gives the agent broad discretion to access arbitrary files under the workspace. The contradictory statements about filtering (claims to auto-filter API keys/passwords and to not export full content) versus exporting '完整时间线' are concerning: it's unclear whether raw sensitive content might be read and written to export files. The skill also writes files to the workspace root (possible overwrite) and mentions including '附件' and '关键文件路径' which could capture sensitive artifacts.
Install Mechanism
Instruction-only skill with no install spec and no code files—lowest install risk. Nothing is downloaded or written to disk by an installer. Runtime behavior (file read/write) is the only active surface.
Credentials
The skill declares no environment variables, credentials, or config paths (appropriate for a local exporter). However, it claims to automatically filter API keys/passwords and to extract Skills usage records—these features implicitly require reading potentially sensitive configuration files (skill metadata). Without explicit declared paths, it's unclear what the agent will access, which is a proportionality concern of scope (not of explicit credential requests).
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent or elevated privileges. Autonomous invocation is allowed (default) but not combined with other high-risk flags here.
What to consider before installing
This skill appears to do what it says (export conversation history) but the instructions are vague about which files and directories it will scan and contradictory about whether full conversations are exported or only summaries. Before installing or running: 1) Ask the author to specify exact paths the skill will read (location of '工作记忆', '自动化任务目录', and what '关键文件路径' means). 2) Request a sample export (or run in a sandbox/offline workspace) to verify it doesn't include raw secrets or unexpected files. 3) Backup your workspace and run the skill on a copy first. 4) Verify filtering: test with dummy API keys/passwords to confirm they are removed. 5) If you have highly sensitive files in the workspace, restrict file permissions or move them out of the workspace before use. If the author cannot clarify the above, treat this skill cautiously.

Like a lobster shell, security has layers — review code before you run it.

conversation-exportvk97dg5kk41khk8ddq3bncn6f3x83hsnpdata-exportvk97dg5kk41khk8ddq3bncn6f3x83hsnpfile-conversionvk97dg5kk41khk8ddq3bncn6f3x83hsnplatestvk97dg5kk41khk8ddq3bncn6f3x83hsnpworkbuddy-skillvk97dg5kk41khk8ddq3bncn6f3x83hsnp
96downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

对话历史导出工具

将 WorkBuddy 的对话历史导出为多种格式(JSON、Markdown、TXT),便于归档、分析和分享。

触发条件

当用户需要以下操作时使用此 Skill:

  • 导出对话历史
  • 保存会话记录
  • 生成对话摘要
  • 分析对话数据
  • 归档工作记忆

功能特性

支持的导出格式

  1. JSON 格式conversation_history.json

    • 结构化数据,便于程序处理
    • 包含完整的时间线、元数据、统计信息
    • 支持数据导入到其他系统
  2. Markdown 格式conversation_history.md

    • 易读的文档格式
    • 适合归档和查看
    • 支持语法高亮和富文本
  3. TXT 格式conversation_history.txt

    • 纯文本,兼容性最好
    • 无格式干扰
    • 适合日志分析

导出内容

  • 时间线:按时间顺序的所有交互事件
  • 元数据:日期范围、项目信息、统计数据
  • 工作记忆:从 WorkBuddy 工作记忆目录提取的长期记录
  • 项目信息:项目名称、描述、关键文件路径
  • 成就里程碑:完成的功能、版本迭代、重要决策
  • Skills 使用记录:已安装的 Skills 列表和使用统计

安全特性

  • UTF-8 编码:避免中文乱码
  • 本地处理:不涉及外部服务
  • 数据过滤:自动过滤敏感信息
  • 格式验证:导出前验证数据完整性

使用指南

基本用法

用户请求导出对话历史时:

  1. 确定导出格式

    • 默认导出所有三种格式
    • 用户可指定特定格式(如 "只导出 JSON")
  2. 读取工作记忆

    • 读取长期记忆文件
    • 读取最近的日期文件(今天 + 过去 7 天)
    • 读取自动化任务目录获取自动化任务信息
  3. 构建导出数据

    • 解析时间线事件
    • 统计数据
    • 生成摘要
  4. 输出文件

    • 文件名格式:对话历史_YYYY-MM-DD.{ext}
    • 保存到工作区根目录
    • 使用 UTF-8 BOM 编码(增强兼容性)

高级选项

  • 日期范围:导出指定时间段的对话
  • 事件过滤:按类型过滤事件(如 "只导出 Skills 安装记录")
  • 详细程度:简洁模式 vs 完整模式
  • 包含附件:是否包含生成的文件列表

数据结构

JSON 格式结构

{
  "conversation_history": {
    "metadata": {
      "export_date": "ISO 8601 日期时间",
      "date_range": {
        "start": "YYYY-MM-DD",
        "end": "YYYY-MM-DD"
      },
      "workspace": "工作区路径",
      "project": "项目名称"
    },
    "timeline": [
      {
        "date": "YYYY-MM-DD",
        "time": "HH:MM",
        "type": "事件类型",
        "action": "操作描述",
        "details": {}
      }
    ],
    "statistics": {
      "total_days": 0,
      "total_events": 0,
      "events_by_type": {}
    },
    "achievements": [],
    "skills_summary": {},
    "automations": []
  }
}

Markdown 格式结构

# 对话历史摘要

## 元数据
- 导出日期:...
- 时间范围:...
- 项目:...

## 时间线
### YYYY-MM-DD
- [HH:MM] 事件类型:操作描述

## 统计数据
...

## 成就里程碑
...

配置选项

文件编码

  • JSON/MD: utf-8-sig(带 BOM,增强兼容性)
  • TXT: utf-8-sig

文件路径

  • 默认:工作区根目录,文件名格式为 对话历史_{date}.{ext}
  • 可通过参数指定自定义路径

注意事项

  1. 隐私保护

    • 自动过滤 API Keys、密码等敏感信息
    • 不导出完整的对话内容,只保留摘要
    • 用户可手动编辑导出文件删除敏感信息
  2. 性能考虑

    • 大量历史数据可能影响导出速度
    • 建议定期清理工作记忆(7天以上数据可归档)
  3. 编码问题

    • 始终使用 UTF-8 编码
    • 对于 Windows 系统,建议使用 utf-8-sig 避免 Excel 打开乱码

示例工作流

完整导出

  1. 用户请求:"导出对话历史"
  2. 读取工作记忆文件
  3. 解析并构建数据结构
  4. 生成三种格式的文件
  5. 显示导出摘要和文件路径

部分导出

  1. 用户请求:"导出最近的 3 天对话"
  2. 按日期范围过滤数据
  3. 生成指定格式文件
  4. 返回结果

类型过滤

  1. 用户请求:"导出 Skills 安装记录"
  2. 过滤事件类型为 skill_installation
  3. 生成导出文件
  4. 返回结果

错误处理

  • 工作记忆文件不存在:提示用户首次使用,无历史数据
  • 编码错误:自动尝试多种编码方式
  • 文件写入失败:检查权限和磁盘空间

技术实现

依赖工具

  • 文件读取工具:读取工作记忆文件
  • 文件写入工具:写入导出文件
  • 目录列表工具:列出工作记忆目录

无需外部依赖

  • 本 Skill 不依赖外部 API
  • 不使用网络连接
  • 完全本地处理

更新日志

  • v1.0 (2026-03-25)
    • 初始版本
    • 支持 JSON、MD、TXT 三种格式
    • UTF-8 编码,避免乱码
    • 完整的工作记忆解析

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