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 smtg-ai · Codex Skill · ★ 8.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-squad safe to install? View the security audit →
Claude Squad Claude Squad is a terminal app that manages multiple Claude Code, Codex, Gemini (and other local agents including Aider) in separate workspaces, allowing you to work on multiple tasks simultaneously. Highlights Complete tasks in the background (including yolo / auto-accept mode!) Manage instances and tasks in one terminal window Review changes before applying them, checkout changes before pushing them Each task gets its own isolated git workspace, so no conflicts https://github.com/user-attachments/assets/aef18253-e58f-4525-9032-f5a3d66c975a Installation Both Homebrew and manual installation will install Claude Squad as on your system. Homebrew Manual Claude Squad can also be installed by running the following command: bash curl -fsSL https://raw.githubus
| Stars | 8,343 |
| Forks | 610 |
| Language | Go |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 78.4195378580847/100 |
| Open Issues | 54 |
| Last Updated | 2026-08-20 |
| Created | 2025-03-09 |
| Platforms | claude-code, cli, codex, go |
| Est. Tokens | ~16k |
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claude-squad is Manage multiple AI terminal agents like Claude Code, Codex, OpenCode, and Amp.. It is categorized as a Codex Skill with 8.3k GitHub stars.
claude-squad is primarily written in Go. It covers topics such as claude-code, cli, codex.
You can find installation instructions and usage details in the claude-squad GitHub repository at github.com/smtg-ai/claude-squad. The project has 8.3k stars and 610 forks, indicating an active community.
claude-squad is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to claude-squad on Agent Skills Hub include cmux, superset, 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: