No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by yarasaa · Agent Tool · ★ 64
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Clippy safe to install? View the security audit →
Clippy A warm, powerful clipboard manager for macOS. Card-based history, smart content detection, a built-in screenshot editor, dock preview, AI-powered text transformations — all local, open source, and free. 🌐 English · Türkçe · 日本語 · 简体中文 Why Clippy? Everything you copy — text, images, code, colors, URLs — lives on briefly in your clipboard and is gone. Clippy keeps it all, in a beautiful menu bar history you can search, star, pin, and paste with a hotkey. Then it goes further: annotate screenshots, convert files, stash downloads on a shelf, transform text with local or cloud AI. All on your Mac. No a
| Stars | 64 |
| Forks | 2 |
| Language | Swift |
| Category | Agent Tool |
| Quality Score | 54.6659169121229/100 |
| Last Updated | 2026-09-08 |
| Created | 2025-09-19 |
| Platforms | cli |
| Est. Tokens | ~19k |
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Clippy is Clipboard Manager for macOS. It is categorized as a Agent Tool with 64 GitHub stars.
Clippy is primarily written in Swift. It covers topics such as ai-tools, clipboard, clipboard-history.
You can find installation instructions and usage details in the Clippy GitHub repository at github.com/yarasaa/Clippy. The project has 64 stars and 2 forks, indicating an active community.
The top alternatives to Clippy on Agent Skills Hub include cctop, Awayke, Claude-Usage-Monitor. 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: