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 →
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🔒 Is tmuxwatch safe to install? View the security audit →
tmuxwatch 👀 - Lightweight TUI to watch tmux sessions is a Charmbracelet-powered dashboard that keeps eyes on every tmux session, window, and pane without ever leaving the terminal. Highlights Live tmux snapshot: Polls , , and , stitches the hierarchy together, and shows the latest capture-pane output per session. Tab-aware layout: The strip lists the grid plus every visible tmux session; click or to jump tabs, toggles full-screen, and returns to the grid. Keyboard & mouse aware: to search, arrow/PageUp/PageDown to scroll, collapse cards with /, maximise via or the control, to kill a focused stale session, to clean all stale sessions, and mouse clicks/scrolls to focus, collapse, close cards, or switch tabs. Command palette (): Run actions (refresh, show hidden, clean stale) from a centered overlay. Automation friendly: prints the current tmux topology as JSON for scripts or debugging.
| Stars | 228 |
| Forks | 15 |
| Language | Go |
| Category | AI Tool |
| License | MIT |
| Quality Score | 67.8297880929986/100 |
| Last Updated | 2026-09-14 |
| Created | 2025-10-20 |
| Platforms | go |
| Est. Tokens | ~16k |
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tmuxwatch is A simple TUI to watch tmux sessions. It is categorized as a AI Tool with 228 GitHub stars.
tmuxwatch is primarily written in Go. It covers topics such as go, tmux, tui.
You can find installation instructions and usage details in the tmuxwatch GitHub repository at github.com/steipete/tmuxwatch. The project has 228 stars and 15 forks, indicating an active community.
tmuxwatch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to tmuxwatch on Agent Skills Hub include agent-deck, chief, codegrab. 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: