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 shengyanlin · Agent Tool · ★ 92
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-overlay safe to install? View the security audit →
Claude Overlay ### Talk to Claude Code without ever leaving the app you're in — and let it actually see your screen. Windows 10 / 11 only (for now) · runs on your existing Claude subscription — no API key Claude Overlay is a frameless, always-on-top chat window that floats over everything you do. Ask a question, and Claude looks at your real screen — every monitor — to answer. No copy-pasting error messages, no describing what you're staring at, no alt-tabbing to a browser. And because it runs the full [Claude Code](https://docs.clau
| Stars | 92 |
| Forks | 15 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.116214571167/100 |
| Last Updated | 2026-09-16 |
| Created | 2026-05-31 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
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claude-overlay is A floating, screen-aware Claude Code chat for Windows - it reads your screen to answer, and runs on your own Claude subscription (no API key).. It is categorized as a Agent Tool with 92 GitHub stars.
claude-overlay is primarily written in Python. It covers topics such as ai, ai-assistant, always-on-top.
You can find installation instructions and usage details in the claude-overlay GitHub repository at github.com/shengyanlin/claude-overlay. The project has 92 stars and 15 forks, indicating an active community.
claude-overlay is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-overlay on Agent Skills Hub include repopack-py, OmoiOS, aipointer. 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: