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Creates a script that identifies old issues without duplicate detection comments and triggers the existing claude-dedupe-issues workflow for each one. This helps ensure historical issues get proper duplicate detection coverage. Features: - Scans issues from configurable time period (default 30 days) - Skips issues that already have duplicate detection comments - Triggers existing workflow instead of duplicating logic - Includes dry-run mode and rate limiting for safety 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Claude Code
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows -- all through natural language commands. Use it in your terminal, IDE, or tag @claude on Github.
Learn more in the official documentation.
Get started
- Install Claude Code:
npm install -g @anthropic-ai/claude-code
- Navigate to your project directory and run
claude.
Reporting Bugs
We welcome your feedback. Use the /bug command to report issues directly within Claude Code, or file a GitHub issue.
Data collection, usage, and retention
When you use Claude Code, we collect feedback, which includes usage data (such as code acceptance or rejections), associated conversation data, and user feedback submitted via the /bug command.
How we use your data
We may use feedback to improve our products and services, but we will not train generative models using your feedback from Claude Code. Given their potentially sensitive nature, we store user feedback transcripts for only 30 days.
If you choose to send us feedback about Claude Code, such as transcripts of your usage, Anthropic may use that feedback to debug related issues and improve Claude Code's functionality (e.g., to reduce the risk of similar bugs occurring in the future).
Privacy safeguards
We have implemented several safeguards to protect your data, including limited retention periods for sensitive information, restricted access to user session data, and clear policies against using feedback for model training.
For full details, please review our Commercial Terms of Service and Privacy Policy.