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 drewnekota · Claude Skill · ★ 147
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cetus safe to install? View the security audit →
Cetus Official website · cetus.run Turn your favorite agent runtime into an always-on desktop assistant. Keep Codex, Claude Code, DeepSeek Harness, or the built-in runtime at the core. Cetus adds the desktop layer around it: summon it over any app, schedule work for later, and give it context from what has been on your screen. Quick Launcher · Automations · Global Quick Reply · Screen Context <img alt="CI"
| Stars | 147 |
| Forks | 11 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.0688683242095/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-21 |
| Created | 2026-06-27 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~18k |
These tools work well together with cetus for enhanced workflows:
Looking for a cetus alternative? If you're comparing cetus with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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cetus is One macOS app for Claude Code, Codex, and every agent runtime you use — scheduled runs, global hotkey launcher, per-run git worktrees, one review board.. It is categorized as a Claude Skill with 147 GitHub stars.
cetus is primarily written in TypeScript. It covers topics such as ai, ai-agent, ai-agents.
You can find installation instructions and usage details in the cetus GitHub repository at github.com/drewnekota/cetus. The project has 147 stars and 11 forks, indicating an active community.
cetus is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cetus on Agent Skills Hub include Abu-Cowork, memtrace-public, golembot. 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: