Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ShunmeiCho · Codex Skill · ★ 162
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cc-clip safe to install? View the security audit →
English · 简体中文 · 日本語 cc-clip Paste images over SSH for Claude Code, Codex CLI, and opencode — plus desktop notifications for Claude Code, Codex CLI, and opencode. Install → setup → paste. Clipboard works over SSH. Beta available: v0.9.0-beta.1 (opt-in prerelease) — setup targets for Claude / Codex / opencode / Antigravity, plus opencode & Antigravity notifications. Release notes & install →
| Stars | 162 |
| Forks | 22 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.936768861327/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-01 |
| Created | 2026-03-05 |
| Platforms | claude-code, cli, codex, go |
| Est. Tokens | ~23k |
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cc-clip is Paste images into remote Claude Code & Codex CLI over SSH — clipboard bridging for macOS and Windows.. It is categorized as a Codex Skill with 162 GitHub stars.
cc-clip is primarily written in Go. It covers topics such as ai-coding, anthropic, claude-code.
You can find installation instructions and usage details in the cc-clip GitHub repository at github.com/ShunmeiCho/cc-clip. The project has 162 stars and 22 forks, indicating an active community.
cc-clip is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cc-clip on Agent Skills Hub include pocketdev, clipaste, octo-terminal-releases. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: