Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install tmuxwatch
go install github.com/steipete/tmuxwatch/cmd/tmuxwatch@latest
Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 227 |
| Forks | 16 |
| Language | Go |
| Category | AI Tool |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-24 |
| Created | 2025-10-20 |
| Platforms | go |
| Est. Tokens | ~16k |
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.
Looking for a tmuxwatch alternative? If you're comparing tmuxwatch with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Build big projects with Claude. Chief breaks your work into tasks and runs Claude Code in a loop until they're
✋ Interactive CLI tool for selecting and bundling code into a single, LLM-ready output file
Process manager for AI agents (and humans)
Use sidecar next to CLI agents for diffs, file trees, conversation history, and task management with td
Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-callin
ChatGPT CLI is a powerful, multi-provider command-line interface for working with modern LLMs. It supports Ope
Explore other popular ai tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: