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clipaste

Skill Setup & Config Usable
Works inClaude Code
Usable Scanned — metadata only

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.

56 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

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.

Claude Code Claude Cowork Claude Chat

https://github.com/hqhq1025/clipaste

By hqhq1025

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
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.

First thing to try

After installing, paste this into Claude:

Help me automate screenshot pasting into Claude Code without manual image uploads
CostFree

Trust Signals Auto-scanned

Stars56Last updated2026-09-11LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-11 · scanner v1

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

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 56 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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