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 vivy-company · Codex Skill · ★ 298
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aizen safe to install? View the security audit →
Aizen English | 简体中文 Early Access — Aizen is under active development with near-daily updates. Expect breaking changes and new features frequently. Aizen is a macOS workspace for parallel development. Bring order to your projects, environments, and day-to-day work. Give each project or branch its own environment, with its own terminal, files, browser, agents, and state. What is Aizen? Aizen is an agentic-first developer workspace for macOS. It helps you run projects and branches in parallel without turning worktrees, folders, or copies into manual setup. Each environment keeps its own terminal, files, browser, agent sessions, Git context, and review state
| Stars | 298 |
| Forks | 19 |
| Language | Swift |
| Category | Codex Skill |
| License | GPL-3.0 |
| Quality Score | 70.7521714832874/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-01 |
| Created | 2025-10-26 |
| Platforms | claude-code, codex, gemini |
| Est. Tokens | ~16k |
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aizen is Bring order to your projects, environments, and day-to-day work.. It is categorized as a Codex Skill with 298 GitHub stars.
aizen is primarily written in Swift. It covers topics such as agents, ai, claude.
You can find installation instructions and usage details in the aizen GitHub repository at github.com/vivy-company/aizen. The project has 298 stars and 19 forks, indicating an active community.
aizen is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to aizen on Agent Skills Hub include ccmanager, hcom, llmio. 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: