clipaste
Eliminates clipboard failures when pasting screenshots into AI coding tools across fragmented environments (macOS, SSH, WSL2), reducing friction in remote pa…
Screenshot clipboard paste fix for Claude Code, Codex & Cursor — works on macOS, SSH remote, WSL2. Tiny background daemon (9 MB RAM, 0% CPU), zero config.
- Automate screenshot pasting into Claude Code without manual image uploads.
- Enable clipboard image support for remote development over SSH connections.
- Fix screenshot handling in WSL2 environments without configuration overhead.
Eliminates clipboard failures when pasting screenshots into AI coding tools across fragmented environments (macOS, SSH, WSL2), reducing friction in remote pair-programming and distributed development workflows.
Distributed engineering teams using Claude/Cursor across multiple OS environments and SSH sessions requiring seamless screenshot collaboration.
https://github.com/hqhq1025/clipaste
By hqhq1025
How to Get It
claude plugins install hqhq1025/clipaste
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me automate screenshot pasting into Claude Code without manual image uploads
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 56 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 56 GitHub stars; contributors unknown; last commit 0d ago; license MIT.