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 alltuner · Agent Tool · ★ 111
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is factoryfloor safe to install? View the security audit →
Factory Floor AI-powered development workspace for macOS Git worktrees, Claude Code sessions, and dev servers in a single native app. Website · Download · Sponsor Get Started Install via Homebrew: Or download the latest release. Then: Open Factory Floor and add a project by clicking the button in the sidebar, then selecting a repository directory. Create a workstream with . Factory Floor sets up a git worktree and launches a Claude Code agent automatically. Start building. Add terminals (), browsers (), editors (), or configure run scripts to auto-detect your dev server. What is Factory Floor? Factory Floor is a nati
| Stars | 111 |
| Forks | 8 |
| Language | Swift |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 74.4896912724946/100 |
| Open Issues | 27 |
| Last Updated | 2026-08-14 |
| Created | 2026-03-16 |
| Platforms | claude-code |
| Est. Tokens | ~17k |
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factoryfloor is AI-powered macOS development workspace. Git worktrees, Claude Code sessions, and dev servers in a single native app.. It is categorized as a Agent Tool with 111 GitHub stars.
factoryfloor is primarily written in Swift. It covers topics such as claude-code, developer-tools, ghostty.
You can find installation instructions and usage details in the factoryfloor GitHub repository at github.com/alltuner/factoryfloor. The project has 111 stars and 8 forks, indicating an active community.
factoryfloor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to factoryfloor on Agent Skills Hub include TokenEater, dotfiles, herminal. 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: