peteromallet/dataclaw

• highreadme#1

  Reposition the core technical description in the README

  原因：

  当前

  # DataClaw
  
  > **This is a performance art project.** Anthropic built their models on the world's freely shared information, then introduced increasingly dystopian data policies to stop anyone else from doing the same with their data - pulling up the ladder behind them. DataClaw lets you throw the ladder back down. The dataset it produces is yours to share.
  
  Turn your Claude Code, Codex, and other coding-agent conversation history into structured data and publish it to Hugging Face with a single command. DataClaw parses session logs, redacts secrets and PII, and uploads the result as a ready-to-use dataset.

  复制粘贴的修复

  复制

  # DataClaw
  
  Turn your Claude Code, Codex, and other coding-agent conversation history into structured data and publish it to Hugging Face with a single command. DataClaw parses session logs, redacts secrets and PII, and uploads the result as a ready-to-use dataset.
  
  > **This is also a performance art project.** Anthropic built their models on the world's freely shared information, then introduced increasingly dystopian data policies to stop anyone else from doing the same with their data - pulling up the ladder behind them. DataClaw lets you throw the ladder back down. The dataset it produces is yours to share.

  待办完成忽略
• hightopics#2

  Add relevant topics to the repository

  原因：

  复制粘贴的修复

  复制

  ai-assistants, conversation-history, dataset-generation, huggingface, claude-ai, codex, data-export, privacy, open-data, macos-app

  待办完成忽略
• mediumhomepage#3

  Add the project's homepage URL

  原因：

  复制粘贴的修复

  复制

  https://github.com/peteromallet/dataclaw

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I export and share my AI coding assistant conversation history as structured data?

  你：未被推荐
  AI 推荐顺序：

  1. VS Code
  2. Sublime Text
  3. Notepad++
  4. Google Docs
  5. Microsoft Word
  6. Chrome
  7. Firefox
  8. Edge
  9. Python
  10. Beautiful Soup
  11. ChatGPT
  12. Google Gemini
  13. GitHub Copilot Chat
  14. Selenium
  15. Playwright
  16. OpenAI's API

  AI 推荐了 16 个替代方案，却始终没点名 peteromallet/dataclaw。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Tool to anonymize and publish my coding AI interactions as a public dataset?

  你：未被推荐
  AI 推荐顺序：

  1. Pandas (pandas-dev/pandas)
  2. NLTK (nltk/nltk)
  3. spaCy (explosion/spaCy)
  4. Faker (joke2k/faker)
  5. Regular Expressions (re module)
  6. Presidio (Microsoft/Presidio)
  7. Google Cloud Data Loss Prevention (DLP) API
  8. Amazon Macie
  9. anonypy

  AI 推荐了 9 个替代方案，却始终没点名 peteromallet/dataclaw。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of peteromallet/dataclaw?

  pass
  ⚠AI 未点名 peteromallet/dataclaw —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts peteromallet/dataclaw in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 peteromallet/dataclaw

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo peteromallet/dataclaw solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 peteromallet/dataclaw

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？