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 pelazas · Agent Tool · ★ 72
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is p2pmux safe to install? View the security audit →
Website · Install · Usage · Trust · Contributing Peer-to-peer terminal multiplexer for macOS and Linux. Every pane is a real shell on the machine of whoever opened it: their toolchain, their env, their AI subscription. Hop into a teammate's pane and you get a shell on their machine without holding their keys. <img src="assets/demo.gif" width="820" alt="userB joins with a code, opens a pane on their own machine, th
| Stars | 72 |
| Forks | 3 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70.1603722009154/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-18 |
| Created | 2026-07-24 |
| Platforms | claude-code, cli, rust |
| Est. Tokens | ~23k |
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p2pmux is Multiplayer terminal multiplexer where multiple users and machines can connect to a same session. It is categorized as a Agent Tool with 72 GitHub stars.
p2pmux is primarily written in Rust. It covers topics such as ai-agents, claude-code, cli.
You can find installation instructions and usage details in the p2pmux GitHub repository at github.com/pelazas/p2pmux. The project has 72 stars and 3 forks, indicating an active community.
p2pmux is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to p2pmux on Agent Skills Hub include claudectl, agf, ascii-agents. 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: